Title: “Impact of taxes on GDP and employment in Nepal”
"Analyzing economic trends in Nepal"Output: html_notebook
Coursework: Data Analysis and Visualization
Name: Sunil Karki
LondonMet ID : 21039796
College ID: np01ms7a210029
London Metropolitan University
Islington College
# Set the working directory below.
# Setting environment
# remove(list=ls())
# setwd("C:\\Users\\sunil\\Downloads\\College\\DAV\\Project")# Import packages
#install.packages("corrplot")
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionlibrary(data.table)##
## Attaching package: 'data.table'## The following objects are masked from 'package:dplyr':
##
## between, first, lastlibrary(ggplot2)
library(pastecs)##
## Attaching package: 'pastecs'## The following objects are masked from 'package:data.table':
##
## first, last## The following objects are masked from 'package:dplyr':
##
## first, lastlibrary(corrplot)## corrplot 0.92 loaded#library(ggthemes) # For appearance of plot like theme in ggplot2# make evironment not to change large number to exponential
options(scipen = 999)# Import dataset
nepal_dt <- read.csv("Source Dataset-API_NPL_DS2.csv", skip=4, header=TRUE, stringsAsFactors = FALSE)
meta_country <- read.csv("MetaData_Country.csv", header=TRUE, stringsAsFactors = FALSE)
meta_indictr <- read.csv("MetaData_Indicator.csv", header=TRUE, stringsAsFactors = FALSE)
nepal_dt## CountryName CountryCode
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## 1041 Nepal NPL
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## 1043 Nepal NPL
## 1044 Nepal NPL
## 1045 Nepal NPL
## 1046 Nepal NPL
## 1047 Nepal NPL
## 1048 Nepal NPL
## 1049 Nepal NPL
## 1050 Nepal NPL
## 1051 Nepal NPL
## 1052 Nepal NPL
## 1053 Nepal NPL
## 1054 Nepal NPL
## 1055 Nepal NPL
## 1056 Nepal NPL
## 1057 Nepal NPL
## 1058 Nepal NPL
## 1059 Nepal NPL
## 1060 Nepal NPL
## 1061 Nepal NPL
## 1062 Nepal NPL
## 1063 Nepal NPL
## 1064 Nepal NPL
## 1065 Nepal NPL
## 1066 Nepal NPL
## 1067 Nepal NPL
## 1068 Nepal NPL
## 1069 Nepal NPL
## 1070 Nepal NPL
## 1071 Nepal NPL
## 1072 Nepal NPL
## 1073 Nepal NPL
## 1074 Nepal NPL
## 1075 Nepal NPL
## 1076 Nepal NPL
## 1077 Nepal NPL
## 1078 Nepal NPL
## 1079 Nepal NPL
## 1080 Nepal NPL
## 1081 Nepal NPL
## 1082 Nepal NPL
## 1083 Nepal NPL
## 1084 Nepal NPL
## 1085 Nepal NPL
## 1086 Nepal NPL
## 1087 Nepal NPL
## 1088 Nepal NPL
## 1089 Nepal NPL
## 1090 Nepal NPL
## 1091 Nepal NPL
## 1092 Nepal NPL
## 1093 Nepal NPL
## 1094 Nepal NPL
## 1095 Nepal NPL
## 1096 Nepal NPL
## 1097 Nepal NPL
## 1098 Nepal NPL
## 1099 Nepal NPL
## 1100 Nepal NPL
## 1101 Nepal NPL
## 1102 Nepal NPL
## 1103 Nepal NPL
## 1104 Nepal NPL
## 1105 Nepal NPL
## 1106 Nepal NPL
## 1107 Nepal NPL
## 1108 Nepal NPL
## 1109 Nepal NPL
## 1110 Nepal NPL
## 1111 Nepal NPL
## 1112 Nepal NPL
## 1113 Nepal NPL
## 1114 Nepal NPL
## 1115 Nepal NPL
## 1116 Nepal NPL
## 1117 Nepal NPL
## 1118 Nepal NPL
## 1119 Nepal NPL
## 1120 Nepal NPL
## 1121 Nepal NPL
## 1122 Nepal NPL
## 1123 Nepal NPL
## 1124 Nepal NPL
## 1125 Nepal NPL
## 1126 Nepal NPL
## 1127 Nepal NPL
## 1128 Nepal NPL
## 1129 Nepal NPL
## 1130 Nepal NPL
## 1131 Nepal NPL
## 1132 Nepal NPL
## 1133 Nepal NPL
## 1134 Nepal NPL
## 1135 Nepal NPL
## 1136 Nepal NPL
## 1137 Nepal NPL
## 1138 Nepal NPL
## 1139 Nepal NPL
## 1140 Nepal NPL
## 1141 Nepal NPL
## 1142 Nepal NPL
## 1143 Nepal NPL
## 1144 Nepal NPL
## 1145 Nepal NPL
## 1146 Nepal NPL
## 1147 Nepal NPL
## 1148 Nepal NPL
## 1149 Nepal NPL
## 1150 Nepal NPL
## 1151 Nepal NPL
## 1152 Nepal NPL
## 1153 Nepal NPL
## 1154 Nepal NPL
## 1155 Nepal NPL
## 1156 Nepal NPL
## 1157 Nepal NPL
## 1158 Nepal NPL
## 1159 Nepal NPL
## 1160 Nepal NPL
## 1161 Nepal NPL
## 1162 Nepal NPL
## 1163 Nepal NPL
## 1164 Nepal NPL
## 1165 Nepal NPL
## 1166 Nepal NPL
## 1167 Nepal NPL
## 1168 Nepal NPL
## 1169 Nepal NPL
## 1170 Nepal NPL
## 1171 Nepal NPL
## 1172 Nepal NPL
## 1173 Nepal NPL
## 1174 Nepal NPL
## 1175 Nepal NPL
## 1176 Nepal NPL
## 1177 Nepal NPL
## 1178 Nepal NPL
## 1179 Nepal NPL
## 1180 Nepal NPL
## 1181 Nepal NPL
## 1182 Nepal NPL
## 1183 Nepal NPL
## 1184 Nepal NPL
## 1185 Nepal NPL
## 1186 Nepal NPL
## 1187 Nepal NPL
## 1188 Nepal NPL
## 1189 Nepal NPL
## 1190 Nepal NPL
## 1191 Nepal NPL
## 1192 Nepal NPL
## 1193 Nepal NPL
## 1194 Nepal NPL
## 1195 Nepal NPL
## 1196 Nepal NPL
## 1197 Nepal NPL
## 1198 Nepal NPL
## 1199 Nepal NPL
## 1200 Nepal NPL
## 1201 Nepal NPL
## 1202 Nepal NPL
## 1203 Nepal NPL
## 1204 Nepal NPL
## 1205 Nepal NPL
## 1206 Nepal NPL
## 1207 Nepal NPL
## 1208 Nepal NPL
## 1209 Nepal NPL
## 1210 Nepal NPL
## 1211 Nepal NPL
## 1212 Nepal NPL
## 1213 Nepal NPL
## 1214 Nepal NPL
## 1215 Nepal NPL
## 1216 Nepal NPL
## 1217 Nepal NPL
## 1218 Nepal NPL
## 1219 Nepal NPL
## 1220 Nepal NPL
## 1221 Nepal NPL
## 1222 Nepal NPL
## 1223 Nepal NPL
## 1224 Nepal NPL
## 1225 Nepal NPL
## 1226 Nepal NPL
## 1227 Nepal NPL
## 1228 Nepal NPL
## 1229 Nepal NPL
## 1230 Nepal NPL
## 1231 Nepal NPL
## 1232 Nepal NPL
## 1233 Nepal NPL
## 1234 Nepal NPL
## 1235 Nepal NPL
## 1236 Nepal NPL
## 1237 Nepal NPL
## 1238 Nepal NPL
## 1239 Nepal NPL
## 1240 Nepal NPL
## 1241 Nepal NPL
## 1242 Nepal NPL
## 1243 Nepal NPL
## 1244 Nepal NPL
## 1245 Nepal NPL
## 1246 Nepal NPL
## 1247 Nepal NPL
## 1248 Nepal NPL
## 1249 Nepal NPL
## 1250 Nepal NPL
## 1251 Nepal NPL
## 1252 Nepal NPL
## 1253 Nepal NPL
## 1254 Nepal NPL
## 1255 Nepal NPL
## 1256 Nepal NPL
## 1257 Nepal NPL
## 1258 Nepal NPL
## 1259 Nepal NPL
## 1260 Nepal NPL
## 1261 Nepal NPL
## 1262 Nepal NPL
## 1263 Nepal NPL
## 1264 Nepal NPL
## 1265 Nepal NPL
## 1266 Nepal NPL
## 1267 Nepal NPL
## 1268 Nepal NPL
## 1269 Nepal NPL
## 1270 Nepal NPL
## 1271 Nepal NPL
## 1272 Nepal NPL
## 1273 Nepal NPL
## 1274 Nepal NPL
## 1275 Nepal NPL
## 1276 Nepal NPL
## 1277 Nepal NPL
## 1278 Nepal NPL
## 1279 Nepal NPL
## 1280 Nepal NPL
## 1281 Nepal NPL
## 1282 Nepal NPL
## 1283 Nepal NPL
## 1284 Nepal NPL
## 1285 Nepal NPL
## 1286 Nepal NPL
## 1287 Nepal NPL
## 1288 Nepal NPL
## 1289 Nepal NPL
## 1290 Nepal NPL
## 1291 Nepal NPL
## 1292 Nepal NPL
## 1293 Nepal NPL
## 1294 Nepal NPL
## 1295 Nepal NPL
## 1296 Nepal NPL
## 1297 Nepal NPL
## 1298 Nepal NPL
## 1299 Nepal NPL
## 1300 Nepal NPL
## 1301 Nepal NPL
## 1302 Nepal NPL
## 1303 Nepal NPL
## 1304 Nepal NPL
## 1305 Nepal NPL
## 1306 Nepal NPL
## 1307 Nepal NPL
## 1308 Nepal NPL
## 1309 Nepal NPL
## 1310 Nepal NPL
## 1311 Nepal NPL
## 1312 Nepal NPL
## 1313 Nepal NPL
## 1314 Nepal NPL
## 1315 Nepal NPL
## 1316 Nepal NPL
## 1317 Nepal NPL
## 1318 Nepal NPL
## 1319 Nepal NPL
## 1320 Nepal NPL
## 1321 Nepal NPL
## 1322 Nepal NPL
## 1323 Nepal NPL
## 1324 Nepal NPL
## 1325 Nepal NPL
## 1326 Nepal NPL
## 1327 Nepal NPL
## 1328 Nepal NPL
## 1329 Nepal NPL
## 1330 Nepal NPL
## 1331 Nepal NPL
## 1332 Nepal NPL
## 1333 Nepal NPL
## 1334 Nepal NPL
## 1335 Nepal NPL
## 1336 Nepal NPL
## 1337 Nepal NPL
## 1338 Nepal NPL
## 1339 Nepal NPL
## 1340 Nepal NPL
## 1341 Nepal NPL
## 1342 Nepal NPL
## 1343 Nepal NPL
## 1344 Nepal NPL
## 1345 Nepal NPL
## 1346 Nepal NPL
## 1347 Nepal NPL
## 1348 Nepal NPL
## 1349 Nepal NPL
## 1350 Nepal NPL
## 1351 Nepal NPL
## 1352 Nepal NPL
## 1353 Nepal NPL
## 1354 Nepal NPL
## 1355 Nepal NPL
## 1356 Nepal NPL
## 1357 Nepal NPL
## 1358 Nepal NPL
## 1359 Nepal NPL
## 1360 Nepal NPL
## 1361 Nepal NPL
## 1362 Nepal NPL
## 1363 Nepal NPL
## 1364 Nepal NPL
## 1365 Nepal NPL
## 1366 Nepal NPL
## 1367 Nepal NPL
## 1368 Nepal NPL
## 1369 Nepal NPL
## 1370 Nepal NPL
## 1371 Nepal NPL
## 1372 Nepal NPL
## 1373 Nepal NPL
## 1374 Nepal NPL
## 1375 Nepal NPL
## 1376 Nepal NPL
## 1377 Nepal NPL
## 1378 Nepal NPL
## 1379 Nepal NPL
## 1380 Nepal NPL
## 1381 Nepal NPL
## 1382 Nepal NPL
## 1383 Nepal NPL
## 1384 Nepal NPL
## 1385 Nepal NPL
## 1386 Nepal NPL
## 1387 Nepal NPL
## 1388 Nepal NPL
## 1389 Nepal NPL
## 1390 Nepal NPL
## 1391 Nepal NPL
## 1392 Nepal NPL
## 1393 Nepal NPL
## 1394 Nepal NPL
## 1395 Nepal NPL
## 1396 Nepal NPL
## 1397 Nepal NPL
## 1398 Nepal NPL
## 1399 Nepal NPL
## 1400 Nepal NPL
## 1401 Nepal NPL
## 1402 Nepal NPL
## 1403 Nepal NPL
## 1404 Nepal NPL
## 1405 Nepal NPL
## 1406 Nepal NPL
## 1407 Nepal NPL
## 1408 Nepal NPL
## 1409 Nepal NPL
## 1410 Nepal NPL
## 1411 Nepal NPL
## 1412 Nepal NPL
## 1413 Nepal NPL
## 1414 Nepal NPL
## 1415 Nepal NPL
## 1416 Nepal NPL
## 1417 Nepal NPL
## 1418 Nepal NPL
## 1419 Nepal NPL
## 1420 Nepal NPL
## 1421 Nepal NPL
## 1422 Nepal NPL
## 1423 Nepal NPL
## 1424 Nepal NPL
## 1425 Nepal NPL
## 1426 Nepal NPL
## 1427 Nepal NPL
## 1428 Nepal NPL
## 1429 Nepal NPL
## 1430 Nepal NPL
## 1431 Nepal NPL
## 1432 Nepal NPL
## 1433 Nepal NPL
## 1434 Nepal NPL
## 1435 Nepal NPL
## 1436 Nepal NPL
## 1437 Nepal NPL
## 1438 Nepal NPL
## 1439 Nepal NPL
## 1440 Nepal NPL
## 1441 Nepal NPL
## 1442 Nepal NPL
## IndicatorName
## 1 High-technology exports (% of manufactured exports)
## 2 Merchandise exports (current US$)
## 3 Computer, communications and other services (% of commercial service imports)
## 4 Manufactures imports (% of merchandise imports)
## 5 Tariff rate, applied, weighted mean, all products (%)
## 6 Merchandise trade (% of GDP)
## 7 Rural population growth (annual %)
## 8 Age dependency ratio, young (% of working-age population)
## 9 Population ages 65-69, male (% of male population)
## 10 Population ages 25-29, male (% of male population)
## 11 Population ages 0-14 (% of total population)
## 12 Life expectancy at birth, male (years)
## 13 Prevalence of moderate or severe food insecurity in the population (%)
## 14 Share of youth not in education, employment or training, total (% of youth population)
## 15 Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
## 16 Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)
## 17 Labor force participation rate for ages 15-24, female (%) (national estimate)
## 18 Employment in services (% of total employment) (modeled ILO estimate)
## 19 Contributing family workers, total (% of total employment) (modeled ILO estimate)
## 20 Employment to population ratio, 15+, female (%) (modeled ILO estimate)
## 21 Employment in agriculture, male (% of male employment) (modeled ILO estimate)
## 22 Multidimensional poverty intensity (average share of deprivations experienced by the poor)
## 23 Income share held by fourth 20%
## 24 External health expenditure (% of current health expenditure)
## 25 Number of people pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure
## 26 Prevalence of stunting, height for age (% of children under 5)
## 27 People practicing open defecation (% of population)
## 28 People using at least basic sanitation services (% of population)
## 29 Lifetime risk of maternal death (1 in: rate varies by country)
## 30 Young people (ages 15-24) newly infected with HIV
## 31 Mortality rate, neonatal (per 1,000 live births)
## 32 Cause of death, by injury (% of total)
## 33 Women who believe a husband is justified in beating his wife (any of five reasons) (%)
## 34 Expenditure on secondary education (% of government expenditure on education)
## 35 Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative)
## 36 Trained teachers in upper secondary education (% of total teachers)
## 37 School enrollment, secondary, female (% gross)
## 38 Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)
## 39 Adjusted net enrollment rate, primary, female (% of primary school age children)
## 40 School enrollment, primary, private (% of total primary)
## 41 Pupil-teacher ratio, primary
## 42 School enrollment, preprimary (% gross)
## 43 Coverage of social insurance programs in richest quintile (% of population)
## 44 Coverage of unemployment benefits and ALMP in richest quintile (% of population)
## 45 Terms of trade adjustment (constant LCU)
## 46 GNI per capita (constant LCU)
## 47 Gross domestic savings (current LCU)
## 48 GDP (constant 2015 US$)
## 49 Coal rents (% of GDP)
## 50 Adjusted savings: particulate emission damage (% of GNI)
## 51 Services, value added (annual % growth)
## 52 Industry (including construction), value added (current US$)
## 53 Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)
## 54 Gross capital formation (current LCU)
## 55 Exports of goods and services (constant 2015 US$)
## 56 Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $)
## 57 Arms exports (SIPRI trend indicator values)
## 58 Lead time to export, median case (days)
## 59 Export value index (2000 = 100)
## 60 Insurance and financial services (% of commercial service exports)
## 61 Merchandise imports by the reporting economy, residual (% of total merchandise imports)
## 62 Food imports (% of merchandise imports)
## 63 Share of tariff lines with international peaks, all products (%)
## 64 International tourism, receipts for travel items (current US$)
## 65 Completeness of birth registration, urban (%)
## 66 Population ages 80 and above, male (% of male population)
## 67 Population ages 55-59, male (% of male population)
## 68 Population ages 15-64 (% of total population)
## 69 Population ages 0-14, female (% of female population)
## 70 Mortality rate, infant (per 1,000 live births)
## 71 Refugee population by country or territory of origin
## 72 Unemployment with intermediate education, male (% of male labor force with intermediate education)
## 73 Part time employment, total (% of total employment)
## 74 Labor force with basic education, female (% of female working-age population with basic education)
## 75 Children in employment, work only, male (% of male children in employment, ages 7-14)
## 76 Child employment in services, male (% of male economically active children ages 7-14)
## 77 Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14)
## 78 Self-employed, male (% of male employment) (modeled ILO estimate)
## 79 Child employment in agriculture, female (% of female economically active children ages 7-14)
## 80 Multidimensional poverty headcount ratio, children (% of population ages 0-17)
## 81 Domestic private health expenditure per capita (current US$)
## 82 Newborns protected against tetanus (%)
## 83 Tuberculosis treatment success rate (% of new cases)
## 84 People using safely managed sanitation services (% of population)
## 85 Maternal mortality ratio (modeled estimate, per 100,000 live births)
## 86 Pregnant women receiving prenatal care (%)
## 87 Incidence of malaria (per 1,000 population at risk)
## 88 Adults (ages 15-49) newly infected with HIV
## 89 Mortality rate, under-5, male (per 1,000 live births)
## 90 Number of deaths ages 15-19 years
## 91 Women who believe a husband is justified in beating his wife when she argues with him (%)
## 92 Current education expenditure, total (% of total expenditure in public institutions)
## 93 Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative)
## 94 Trained teachers in lower secondary education (% of total teachers)
## 95 Pupil-teacher ratio, upper secondary
## 96 Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative)
## 97 Trained teachers in primary education (% of total teachers)
## 98 Net intake rate in grade 1 (% of official school-age population)
## 99 Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative)
## 100 School enrollment, secondary (gross), gender parity index (GPI)
## 101 Coverage of social insurance programs in poorest quintile (% of population)
## 102 Coverage of unemployment benefits and ALMP in poorest quintile (% of population)
## 103 Taxes less subsidies on products (constant LCU)
## 104 GNI per capita, Atlas method (current US$)
## 105 GDP per capita, PPP (constant 2017 international $)
## 106 Mineral rents (% of GDP)
## 107 Adjusted net savings, including particulate emission damage (% of GNI)
## 108 Adjusted savings: mineral depletion (% of GNI)
## 109 Services, value added per worker (constant 2015 US$)
## 110 Manufacturing, value added (constant 2015 US$)
## 111 External balance on goods and services (current LCU)
## 112 Changes in inventories (current US$)
## 113 Gross national expenditure (constant LCU)
## 114 Households and NPISHs Final consumption expenditure (constant LCU)
## 115 Military expenditure (current USD)
## 116 Fixed broadband subscriptions (per 100 people)
## 117 Travel services (% of commercial service exports)
## 118 Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)
## 119 Transport services (% of commercial service imports)
## 120 Merchandise imports from economies in the Arab World (% of total merchandise imports)
## 121 Binding coverage, primary products (%)
## 122 Binding coverage, manufactured products (%)
## 123 Urban population growth (annual %)
## 124 Researchers in R&D (per million people)
## 125 Population ages 65 and above, female (% of female population)
## 126 Population ages 30-34, male (% of male population)
## 127 Population ages 05-09, male (% of male population)
## 128 Survival to age 65, female (% of cohort)
## 129 Prevalence of severe food insecurity in the population (%)
## 130 Unemployment, female (% of female labor force) (modeled ILO estimate)
## 131 Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)
## 132 Ratio of female to male labor force participation rate (%) (modeled ILO estimate)
## 133 Labor force participation rate for ages 15-24, male (%) (national estimate)
## 134 Children in employment, male (% of male children ages 7-14)
## 135 Employment in industry, female (% of female employment) (modeled ILO estimate)
## 136 Employment to population ratio, 15+, male (%) (modeled ILO estimate)
## 137 Employment to population ratio, ages 15-24, female (%) (national estimate)
## 138 Multidimensional poverty index (scale 0-1)
## 139 Income share held by highest 10%
## 140 External health expenditure per capita, PPP (current international $)
## 141 Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)
## 142 Suicide mortality rate, male (per 100,000 male population)
## 143 Diarrhea treatment (% of children under 5 who received ORS packet)
## 144 Births attended by skilled health staff (% of total)
## 145 Prevalence of anemia among pregnant women (%)
## 146 Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)
## 147 People using at least basic drinking water services, rural (% of rural population)
## 148 Cause of death, by non-communicable diseases (% of total)
## 149 Total alcohol consumption per capita, female (liters of pure alcohol, projected estimates, female 15+ years of age)
## 150 Expenditure on tertiary education (% of government expenditure on education)
## 151 Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative)
## 152 Secondary education, teachers
## 153 School enrollment, secondary (% net)
## 154 Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative)
## 155 Children out of school, primary
## 156 Persistence to grade 5, male (% of cohort)
## 157 School enrollment, primary, female (% gross)
## 158 School enrollment, preprimary, male (% gross)
## 159 Literacy rate, youth female (% of females ages 15-24)
## 160 Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits)
## 161 Official exchange rate (LCU per US$, period average)
## 162 GNI per capita, PPP (constant 2017 international $)
## 163 Gross domestic income (constant LCU)
## 164 GDP (constant LCU)
## 165 Inflation, GDP deflator: linked series (annual %)
## 166 Adjusted savings: gross savings (% of GNI)
## 167 Services, value added (% of GDP)
## 168 Industry (including construction), value added (constant 2015 US$)
## 169 Agriculture, forestry, and fishing, value added (current LCU)
## 170 Gross capital formation (annual % growth)
## 171 Exports of goods and services (constant LCU)
## 172 Final consumption expenditure (current US$)
## 173 General government final consumption expenditure (current LCU)
## 174 Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)
## 175 Railways, goods transported (million ton-km)
## 176 CPIA structural policies cluster average (1=low to 6=high)
## 177 CPIA economic management cluster average (1=low to 6=high)
## 178 CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high)
## 179 CPIA quality of budgetary and financial management rating (1=low to 6=high)
## 180 Investment in water and sanitation with private participation (current US$)
## 181 Start-up procedures to register a business (number)
## 182 Time spent dealing with the requirements of government regulations (% of senior management time)
## 183 Firms using banks to finance working capital (% of firms)
## 184 Business extent of disclosure index (0=less disclosure to 10=more disclosure)
## 185 Other expense (% of expense)
## 186 Taxes on international trade (% of revenue)
## 187 Net lending (+) / net borrowing (-) (current LCU)
## 188 Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
## 189 Broad money to total reserves ratio
## 190 Borrowers from commercial banks (per 1,000 adults)
## 191 Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)
## 192 Plant species (higher), threatened
## 193 PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)
## 194 Total greenhouse gas emissions (kt of CO2 equivalent)
## 195 Electric power consumption (kWh per capita)
## 196 Electricity production from hydroelectric sources (% of total)
## 197 IMF repurchases and charges (TDS, current US$)
## 198 Net official flows from UN agencies, WFP (current US$)
## 199 PPG, other private creditors (NFL, current US$)
## 200 Net official flows from UN agencies, IAEA (current US$)
## 201 External debt stocks, private nonguaranteed (PNG) (DOD, current US$)
## 202 Net bilateral aid flows from DAC donors, Poland (current US$)
## 203 Net bilateral aid flows from DAC donors, Denmark (current US$)
## 204 Personal remittances, received (% of GDP)
## 205 Communications, computer, etc. (% of service exports, BoP)
## 206 Current account balance (BoP, current US$)
## 207 Cereal yield (kg per hectare)
## 208 Urban land area where elevation is below 5 meters (sq. km)
## 209 Transport services (% of commercial service exports)
## 210 Merchandise exports to high-income economies (% of total merchandise exports)
## 211 Commercial service imports (current US$)
## 212 Ores and metals imports (% of merchandise imports)
## 213 Tariff rate, most favored nation, weighted mean, all products (%)
## 214 Import volume index (2000 = 100)
## 215 Rural population (% of total population)
## 216 Population growth (annual %)
## 217 Population ages 65 and above, female
## 218 Population ages 30-34, female (% of female population)
## 219 Population ages 05-09, female (% of female population)
## 220 Fertility rate, total (births per woman)
## 221 Consumption of iodized salt (% of households)
## 222 Unemployment, female (% of female labor force) (national estimate)
## 223 Unemployment, youth male (% of male labor force ages 15-24) (national estimate)
## 224 Ratio of female to male labor force participation rate (%) (national estimate)
## 225 Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate)
## 226 Children in employment, female (% of female children ages 7-14)
## 227 GDP per person employed (constant 2017 PPP $)
## 228 Employment to population ratio, 15+, male (%) (national estimate)
## 229 Employment in agriculture (% of total employment) (modeled ILO estimate)
## 230 Multidimensional poverty headcount ratio, male (% of male population)
## 231 Income share held by highest 20%
## 232 External health expenditure per capita (current US$)
## 233 Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)
## 234 Suicide mortality rate, female (per 100,000 female population)
## 235 Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding)
## 236 Exclusive breastfeeding (% of children under 6 months)
## 237 Lifetime risk of maternal death (%)
## 238 Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24)
## 239 Demand for family planning satisfied by modern methods (% of married women with demand for family planning)
## 240 Number of under-five deaths
## 241 Women who believe a husband is justified in beating his wife when she refuses sex with him (%)
## 242 Government expenditure per student, tertiary (% of GDP per capita)
## 243 Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative)
## 244 Trained teachers in secondary education (% of total teachers)
## 245 School enrollment, secondary, male (% gross)
## 246 Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative)
## 247 Adjusted net enrollment rate, primary, male (% of primary school age children)
## 248 Persistence to grade 5, female (% of cohort)
## 249 School enrollment, primary (% gross)
## 250 School enrollment, preprimary, female (% gross)
## 251 Real effective exchange rate index (2010 = 100)
## 252 Adequacy of social safety net programs (% of total welfare of beneficiary households)
## 253 DEC alternative conversion factor (LCU per US$)
## 254 GNI per capita, PPP (current international $)
## 255 Gross domestic savings (% of GDP)
## 256 GDP growth (annual %)
## 257 Inflation, GDP deflator (annual %)
## 258 Adjusted savings: natural resources depletion (% of GNI)
## 259 Services, value added (constant LCU)
## 260 Industry (including construction), value added (current LCU)
## 261 Agriculture, forestry, and fishing, value added (current US$)
## 262 Computer, communications and other services (% of commercial service exports)
## 263 Manufactures exports (% of merchandise exports)
## 264 Merchandise imports by the reporting economy (current US$)
## 265 Fuel imports (% of merchandise imports)
## 266 Tariff rate, applied, simple mean, all products (%)
## 267 International tourism, expenditures for travel items (current US$)
## 268 Completeness of birth registration (%)
## 269 Sex ratio at birth (male births per female births)
## 270 Population ages 60-64, female (% of female population)
## 271 Population ages 20-24, female (% of female population)
## 272 Population ages 0-14, male
## 273 Mortality rate, infant, male (per 1,000 live births)
## 274 International migrant stock, total
## 275 Unemployment with intermediate education (% of total labor force with intermediate education)
## 276 Labor force, female (% of total labor force)
## 277 Labor force with basic education, male (% of male working-age population with basic education)
## 278 Average working hours of children, working only, ages 7-14 (hours per week)
## 279 Child employment in services (% of economically active children ages 7-14)
## 280 Children in employment, unpaid family workers (% of children in employment, ages 7-14)
## 281 Self-employed, total (% of total employment) (modeled ILO estimate)
## 282 Child employment in agriculture, male (% of male economically active children ages 7-14)
## 283 Multidimensional poverty index, children (population ages 0-17) (scale 0-1)
## 284 Domestic private health expenditure per capita, PPP (current international $)
## 285 Current health expenditure (% of GDP)
## 286 Tuberculosis case detection rate (%, all forms)
## 287 Prevalence of stunting, height for age, female (% of children under 5)
## 288 Maternal mortality ratio (national estimate, per 100,000 live births)
## 289 ARI treatment (% of children under 5 taken to a health provider)
## 290 Use of insecticide-treated bed nets (% of under-5 population)
## 291 Children (ages 0-14) newly infected with HIV
## 292 Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, female (%)
## 293 Number of deaths ages 20-24 years
## 294 Women who believe a husband is justified in beating his wife when she burns the food (%)
## 295 Government expenditure per student, primary (% of GDP per capita)
## 296 Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative)
## 297 Trained teachers in secondary education, male (% of male teachers)
## 298 Secondary education, vocational pupils
## 299 Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative)
## 300 Primary education, teachers
## 301 Over-age students, primary, female (% of female enrollment)
## 302 Primary education, duration (years)
## 303 School enrollment, tertiary (gross), gender parity index (GPI)
## 304 Coverage of social insurance programs in 2nd quintile (% of population)
## 305 Coverage of unemployment benefits and ALMP in 2nd quintile (% of population)
## 306 Net secondary income (Net current transfers from abroad) (current US$)
## 307 GNI per capita (current LCU)
## 308 Oil rents (% of GDP)
## 309 GDP (current US$)
## 310 Adjusted net savings, excluding particulate emission damage (current US$)
## 311 Adjusted savings: energy depletion (current US$)
## 312 Services, value added (current US$)
## 313 Manufacturing, value added (annual % growth)
## 314 External balance on goods and services (constant LCU)
## 315 Changes in inventories (current LCU)
## 316 Gross national expenditure (% of GDP)
## 317 Households and NPISHs Final consumption expenditure per capita (constant 2015 US$)
## 318 Military expenditure (current LCU)
## 319 Secure Internet servers
## 320 Internally displaced persons, new displacement associated with conflict and violence (number of cases)
## 321 Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)
## 322 Net barter terms of trade index (2000 = 100)
## 323 Merchandise imports from high-income economies (% of total merchandise imports)
## 324 Share of tariff lines with international peaks, primary products (%)
## 325 Share of tariff lines with international peaks, manufactured products (%)
## 326 Urban population (% of total population)
## 327 Population, total
## 328 Population ages 65 and above, male (% of male population)
## 329 Population ages 35-39, male (% of male population)
## 330 Population ages 10-14, male (% of male population)
## 331 Wanted fertility rate (births per woman)
## 332 Adolescent fertility rate (births per 1,000 women ages 15-19)
## 333 Unemployment, male (% of male labor force) (modeled ILO estimate)
## 334 Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)
## 335 Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)
## 336 Labor force participation rate for ages 15-24, total (%) (national estimate)
## 337 Children in employment, study and work, female (% of female children in employment, ages 7-14)
## 338 Employment in industry (% of total employment) (modeled ILO estimate)
## 339 Employment to population ratio, 15+, total (%) (modeled ILO estimate)
## 340 Employment to population ratio, ages 15-24, male (%) (national estimate)
## 341 Poverty headcount ratio at $6.85 a day (2017 PPP) (% of population)
## 342 Income share held by lowest 10%
## 343 Domestic general government health expenditure (% of GDP)
## 344 Number of people pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure
## 345 Mortality caused by road traffic injury (per 100,000 population)
## 346 Prevalence of overweight, weight for height, male (% of children under 5)
## 347 Diabetes prevalence (% of population ages 20 to 79)
## 348 Prevalence of current tobacco use, females (% of female adults)
## 349 Immunization, HepB3 (% of one-year-old children)
## 350 People using at least basic drinking water services (% of population)
## 351 Probability of dying among children ages 5-9 years (per 1,000)
## 352 Total alcohol consumption per capita, male (liters of pure alcohol, projected estimates, male 15+ years of age)
## 353 Government expenditure on education, total (% of GDP)
## 354 Pupil-teacher ratio, tertiary
## 355 Secondary education, teachers (% female)
## 356 School enrollment, secondary, male (% net)
## 357 Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative)
## 358 Children out of school, female (% of female primary school age)
## 359 Persistence to last grade of primary, female (% of cohort)
## 360 Gross intake ratio in first grade of primary education, female (% of relevant age group)
## 361 Trained teachers in preprimary education, male (% of male teachers)
## 362 Literacy rate, youth male (% of males ages 15-24)
## 363 Coverage of social safety net programs in poorest quintile (% of population)
## 364 Price level ratio of PPP conversion factor (GDP) to market exchange rate
## 365 Gross savings (current LCU)
## 366 GNI (current US$)
## 367 GDP, PPP (constant 2017 international $)
## 368 GDP deflator: linked series (base year varies by country)
## 369 Adjusted savings: net national savings (% of GNI)
## 370 Adjusted savings: education expenditure (% of GNI)
## 371 Industry (including construction), value added (constant LCU)
## 372 Agriculture, forestry, and fishing, value added (annual % growth)
## 373 Gross capital formation (% of GDP)
## 374 Gross fixed capital formation, private sector (current LCU)
## 375 Final consumption expenditure (constant 2015 US$)
## 376 General government final consumption expenditure (annual % growth)
## 377 Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)
## 378 Rail lines (total route-km)
## 379 Logistics performance index: Ability to track and trace consignments (1=low to 5=high)
## 380 Mobile cellular subscriptions (per 100 people)
## 381 Source data assessment of statistical capacity (scale 0 - 100)
## 382 CPIA building human resources rating (1=low to 6=high)
## 383 Public private partnerships investment in water and sanitation (current US$)
## 384 Firms expected to give gifts in meetings with tax officials (% of firms)
## 385 Time to import, documentary compliance (hours)
## 386 Informal payments to public officials (% of firms)
## 387 Depth of credit information index (0=low to 8=high)
## 388 Subsidies and other transfers (% of expense)
## 389 Tax revenue (% of GDP)
## 390 Social contributions (current LCU)
## 391 Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
## 392 Wholesale price index (2010 = 100)
## 393 Total reserves (includes gold, current US$)
## 394 Level of water stress: freshwater withdrawal as a proportion of available freshwater resources
## 395 Urban population living in areas where elevation is below 5 meters (% of total population)
## 396 PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)
## 397 Agricultural methane emissions (% of total)
## 398 CO2 emissions from gaseous fuel consumption (% of total)
## 399 Electricity production from oil sources (% of total)
## 400 Public and publicly guaranteed debt service (% of exports of goods, services and primary income)
## 401 Net official aid received (current US$)
## 402 Net official flows from UN agencies, UNAIDS (current US$)
## 403 Net financial flows, IMF nonconcessional (NFL, current US$)
## 404 Short-term debt (% of exports of goods, services and primary income)
## 405 Net bilateral aid flows from DAC donors, Sweden (current US$)
## 406 Net bilateral aid flows from DAC donors, United Kingdom (current US$)
## 407 Listed domestic companies, total
## 408 Goods exports (BoP, current US$)
## 409 Net trade in goods and services (BoP, current US$)
## 410 Imports of goods and services (BoP, current US$)
## 411 Forest area (% of land area)
## 412 Agricultural machinery, tractors
## 413 Air transport, freight (million ton-km)
## 414 CPIA efficiency of revenue mobilization rating (1=low to 6=high)
## 415 CPIA business regulatory environment rating (1=low to 6=high)
## 416 Procedures to build a warehouse (number)
## 417 Cost of business start-up procedures (% of GNI per capita)
## 418 Value lost due to electrical outages (% of sales for affected firms)
## 419 Cost to export, border compliance (US$)
## 420 Human capital index (HCI), upper bound (scale 0-1)
## 421 Interest payments (current LCU)
## 422 Taxes on goods and services (% value added of industry and services)
## 423 Net incurrence of liabilities, total (current LCU)
## 424 Domestic credit provided by financial sector (% of GDP)
## 425 Monetary Sector credit to private sector (% GDP)
## 426 Bank nonperforming loans to total gross loans (%)
## 427 Pump price for gasoline (US$ per liter)
## 428 CO2 emissions from manufacturing industries and construction (% of total fuel combustion)
## 429 Nitrous oxide emissions in energy sector (% of total)
## 430 CO2 emissions from solid fuel consumption (kt)
## 431 Alternative and nuclear energy (% of total energy use)
## 432 Access to electricity, urban (% of urban population)
## 433 Net ODA received (% of central government expense)
## 434 Net official flows from UN agencies, UNPBF (current US$)
## 435 PPG, commercial banks (NFL, current US$)
## 436 Net financial flows, bilateral (NFL, current US$)
## 437 External debt stocks, total (DOD, current US$)
## 438 Net bilateral aid flows from DAC donors, Luxembourg (current US$)
## 439 Net bilateral aid flows from DAC donors, European Union institutions (current US$)
## 440 Portfolio equity, net inflows (BoP, current US$)
## 441 Grants, excluding technical cooperation (BoP, current US$)
## 442 Foreign direct investment, net outflows (BoP, current US$)
## 443 Crop production index (2014-2016 = 100)
## 444 Land under cereal production (hectares)
## 445 Imports of goods and services (constant LCU)
## 446 Gross fixed capital formation (annual % growth)
## 447 Gross national expenditure (current US$)
## 448 Households and NPISHs final consumption expenditure: linked series (current LCU)
## 449 Arms imports (SIPRI trend indicator values)
## 450 Fixed telephone subscriptions
## 451 Statistical performance indicators (SPI): Overall score (scale 0-100)
## 452 IDA resource allocation index (1=low to 6=high)
## 453 Industrial design applications, nonresident, by count
## 454 Labor tax and contributions (% of commercial profits)
## 455 Time to resolve insolvency (years)
## 456 Losses due to theft and vandalism (% of annual sales of affected firms)
## 457 Private credit bureau coverage (% of adults)
## 458 Primary government expenditures as a proportion of original approved budget (%)
## 459 Taxes on income, profits and capital gains (current LCU)
## 460 Social contributions (% of revenue)
## 461 Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
## 462 Deposit interest rate (%)
## 463 Total reserves (% of total external debt)
## 464 Annual freshwater withdrawals, total (billion cubic meters)
## 465 Population living in areas where elevation is below 5 meters (% of total population)
## 466 SF6 gas emissions (thousand metric tons of CO2 equivalent)
## 467 Methane emissions in energy sector (thousand metric tons of CO2 equivalent)
## 468 CO2 emissions (kg per 2015 US$ of GDP)
## 469 Renewable electricity output (% of total electricity output)
## 470 Multilateral debt service (TDS, current US$)
## 471 Net official aid received (constant 2020 US$)
## 472 Net official flows from UN agencies, UNICEF (current US$)
## 473 Net financial flows, IBRD (NFL, current US$)
## 474 Short-term debt (% of total external debt)
## 475 Net bilateral aid flows from DAC donors, Total (current US$)
## 476 Net bilateral aid flows from DAC donors, Greece (current US$)
## 477 Stocks traded, total value (current US$)
## 478 Service exports (BoP, current US$)
## 479 Net trade in goods (BoP, current US$)
## 480 Insurance and financial services (% of service imports, BoP)
## 481 Agricultural irrigated land (% of total agricultural land)
## 482 Fertilizer consumption (% of fertilizer production)
## 483 Merchandise exports to low- and middle-income economies within region (% of total merchandise exports)
## 484 ICT goods exports (% of total goods exports)
## 485 Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)
## 486 Agricultural raw materials imports (% of merchandise imports)
## 487 Bound rate, simple mean, all products (%)
## 488 International tourism, expenditures for passenger transport items (current US$)
## 489 Completeness of birth registration, rural (%)
## 490 Population ages 80 and above, female (% of female population)
## 491 Population ages 55-59, female (% of female population)
## 492 Population ages 15-64, total
## 493 Population ages 0-14, female
## 494 Mortality rate, infant, female (per 1,000 live births)
## 495 Refugee population by country or territory of asylum
## 496 Unemployment with intermediate education, female (% of female labor force with intermediate education)
## 497 Part time employment, male (% of total male employment)
## 498 Labor force with advanced education (% of total working-age population with advanced education)
## 499 Average working hours of children, working only, male, ages 7-14 (hours per week)
## 500 Child employment in services, female (% of female economically active children ages 7-14)
## 501 Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14)
## 502 Self-employed, female (% of female employment) (modeled ILO estimate)
## 503 Annualized average growth rate in per capita real survey mean consumption or income, total population (%)
## 504 Multidimensional poverty headcount ratio (% of total population)
## 505 Domestic private health expenditure (% of current health expenditure)
## 506 UHC service coverage index
## 507 Prevalence of severe wasting, weight for height (% of children under 5)
## 508 People using safely managed sanitation services, urban (% of urban population)
## 509 Prevalence of underweight, weight for age (% of children under 5)
## 510 Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)
## 511 Specialist surgical workforce (per 100,000 population)
## 512 Antiretroviral therapy coverage (% of people living with HIV)
## 513 Mortality rate, under-5, female (per 1,000 live births)
## 514 Number of deaths ages 10-14 years
## 515 Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)
## 516 Current education expenditure, tertiary (% of total expenditure in tertiary public institutions)
## 517 Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative)
## 518 Trained teachers in lower secondary education, male (% of male teachers)
## 519 Pupil-teacher ratio, secondary
## 520 Lower secondary completion rate, total (% of relevant age group)
## 521 Trained teachers in primary education, male (% of male teachers)
## 522 Net intake rate in grade 1, male (% of official school-age population)
## 523 Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative)
## 524 School enrollment, primary and secondary (gross), gender parity index (GPI)
## 525 Coverage of social insurance programs (% of population)
## 526 Coverage of unemployment benefits and ALMP (% of population)
## 527 Taxes less subsidies on products (current LCU)
## 528 GNI, PPP (constant 2017 international $)
## 529 GDP per capita, PPP (current international $)
## 530 Forest rents (% of GDP)
## 531 Adjusted net savings, including particulate emission damage (current US$)
## 532 Adjusted savings: mineral depletion (current US$)
## 533 Textiles and clothing (% of value added in manufacturing)
## 534 Manufacturing, value added (current LCU)
## 535 External balance on goods and services (current US$)
## 536 Gross fixed capital formation (% of GDP)
## 537 Gross national expenditure (constant 2015 US$)
## 538 High-technology exports (current US$)
## 539 Merchandise exports to economies in the Arab World (% of total merchandise exports)
## 540 Import value index (2000 = 100)
## 541 Insurance and financial services (% of commercial service imports)
## 542 Share of tariff lines with specific rates, all products (%)
## 543 International tourism, expenditures (% of total imports)
## 544 Rural population
## 545 Age dependency ratio, old (% of working-age population)
## 546 Population ages 65-69, female (% of female population)
## 547 Population ages 25-29, female (% of female population)
## 548 Population ages 0-14, total
## 549 Life expectancy at birth, total (years)
## 550 Prevalence of undernourishment (% of population)
## 551 Share of youth not in education, employment or training, male (% of male youth population)
## 552 Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
## 553 Labor force participation rate, female (% of female population ages 15+) (national estimate)
## 554 Children in employment, total (% of children ages 7-14)
## 555 Employment in services, male (% of male employment) (modeled ILO estimate)
## 556 Contributing family workers, male (% of male employment) (modeled ILO estimate)
## 557 Employment to population ratio, 15+, female (%) (national estimate)
## 558 Employment in agriculture, female (% of female employment) (modeled ILO estimate)
## 559 Multidimensional poverty headcount ratio, household (% of total households)
## 560 Income share held by third 20%
## 561 Current health expenditure per capita, PPP (current international $)
## 562 Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)
## 563 Prevalence of stunting, height for age (modeled estimate, % of children under 5)
## 564 People practicing open defecation, urban (% of urban population)
## 565 People using at least basic sanitation services, urban (% of urban population)
## 566 Number of maternal deaths
## 567 Incidence of HIV, all (per 1,000 uninfected population)
## 568 Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%)
## 569 Number of infant deaths
## 570 Women who believe a husband is justified in beating his wife when she neglects the children (%)
## 571 Government expenditure per student, secondary (% of GDP per capita)
## 572 Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative)
## 573 Trained teachers in upper secondary education, male (% of male teachers)
## 574 School enrollment, secondary (% gross)
## 575 Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative)
## 576 Adjusted net enrollment rate, primary (% of primary school age children)
## 577 Over-age students, primary (% of enrollment)
## 578 Primary education, pupils (% female)
## 579 Pupil-teacher ratio, preprimary
## 580 Coverage of social insurance programs in 4th quintile (% of population)
## 581 Coverage of unemployment benefits and ALMP in 4th quintile (% of population)
## 582 Net secondary income (Net current transfers from abroad) (constant LCU)
## 583 GNI per capita growth (annual %)
## 584 Gross domestic savings (current US$)
## 585 GDP: linked series (current LCU)
## 586 Exports as a capacity to import (constant LCU)
## 587 Adjusted savings: particulate emission damage (current US$)
## 588 Services, value added (constant 2015 US$)
## 589 Manufacturing, value added (% of GDP)
## 590 Trade (% of GDP)
## 591 Gross capital formation (current US$)
## 592 Exports of goods and services (current LCU)
## 593 Households and NPISHs Final consumption expenditure, PPP (current international $)
## 594 Military expenditure (% of general government expenditure)
## 595 Households and NPISHs Final consumption expenditure (annual % growth)
## 596 Armed forces personnel (% of total labor force)
## 597 Fixed broadband subscriptions
## 598 Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)
## 599 CPIA quality of public administration rating (1=low to 6=high)
## 600 Scientific and technical journal articles
## 601 Other taxes payable by businesses (% of commercial profits)
## 602 Time required to enforce a contract (days)
## 603 Firms with female top manager (% of firms)
## 604 Average time to clear exports through customs (days)
## 605 Human capital index (HCI), female (scale 0-1)
## 606 Taxes on income, profits and capital gains (% of total taxes)
## 607 Revenue, excluding grants (% of GDP)
## 608 Research and development expenditure (% of GDP)
## 609 Interest rate spread (lending rate minus deposit rate, %)
## 610 Total reserves minus gold (current US$)
## 611 Renewable internal freshwater resources, total (billion cubic meters)
## 612 Population in largest city
## 613 Disaster risk reduction progress score (1-5 scale; 5=best)
## 614 Methane emissions (kt of CO2 equivalent)
## 615 CO2 emissions from liquid fuel consumption (kt)
## 616 Electricity production from renewable sources, excluding hydroelectric (% of total)
## 617 Access to clean fuels and technologies for cooking, rural (% of rural population)
## 618 Net ODA received (% of gross capital formation)
## 619 Net official flows from UN agencies, UNDP (current US$)
## 620 Net financial flows, multilateral (NFL, current US$)
## 621 PPG, IDA (DOD, current US$)
## 622 Net ODA provided, to the least developed countries (current US$)
## 623 Net bilateral aid flows from DAC donors, Ireland (current US$)
## 624 Stocks traded, turnover ratio of domestic shares (%)
## 625 Exports of goods, services and primary income (BoP, current US$)
## 626 Foreign direct investment, net (BoP, current US$)
## 627 Service imports (BoP, current US$)
## 628 Land area (sq. km)
## 629 Agricultural land (sq. km)
## 630 Investment in ICT with private participation (current US$)
## 631 Time required to start a business, female (days)
## 632 Firms experiencing losses due to theft and vandalism (% of firms)
## 633 Time to export, border compliance (hours)
## 634 Human capital index (HCI), male, upper bound (scale 0-1)
## 635 Interest payments (% of expense)
## 636 Customs and other import duties (% of tax revenue)
## 637 Net investment in nonfinancial assets (current LCU)
## 638 Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
## 639 Broad money (current LCU)
## 640 Bank capital to assets ratio (%)
## 641 Capture fisheries production (metric tons)
## 642 CO2 emissions from transport (% of total fuel combustion)
## 643 Nitrous oxide emissions (% change from 1990)
## 644 Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent)
## 645 Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)
## 646 Electricity production from coal sources (% of total)
## 647 Total debt service (% of exports of goods, services and primary income)
## 648 Net official flows from UN agencies, UNTA (current US$)
## 649 PNG, bonds (NFL, current US$)
## 650 Net flows on external debt, private nonguaranteed (PNG) (NFL, current US$)
## 651 Use of IMF credit (DOD, current US$)
## 652 Net bilateral aid flows from DAC donors, Norway (current US$)
## 653 Net bilateral aid flows from DAC donors, Czech Republic (current US$)
## 654 Personal transfers, receipts (BoP, current US$)
## 655 ICT service exports (BoP, current US$)
## 656 Secondary income, other sectors, payments (BoP, current US$)
## 657 Livestock production index (2014-2016 = 100)
## 658 Rural land area where elevation is below 5 meters (sq. km)
## 659 Logistics performance index: Competence and quality of logistics services (1=low to 5=high)
## 660 Liner shipping connectivity index (maximum value in 2004 = 100)
## 661 Methodology assessment of statistical capacity (scale 0 - 100)
## 662 CPIA financial sector rating (1=low to 6=high)
## 663 Public private partnerships investment in energy (current US$)
## 664 Start-up procedures to register a business, female (number)
## 665 Cost to import, border compliance (US$)
## 666 Firms using banks to finance investment (% of firms)
## 667 Ease of doing business rank (1=most business-friendly regulations)
## 668 Expense (current LCU)
## 669 Other taxes (current LCU)
## 670 Net lending (+) / net borrowing (-) (% of GDP)
## 671 Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
## 672 Broad money growth (annual %)
## 673 Depositors with commercial banks (per 1,000 adults)
## 674 Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)
## 675 Mammal species, threatened
## 676 PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-1 value (% of total)
## 677 Total greenhouse gas emissions (% change from 1990)
## 678 Energy use (kg of oil equivalent per capita)
## 679 Electric power transmission and distribution losses (% of output)
## 680 Debt service (PPG and IMF only, % of exports of goods, services and primary income)
## 681 Net official flows from UN agencies, WHO (current US$)
## 682 PPG, private creditors (NFL, current US$)
## 683 Net official flows from UN agencies, IFAD (current US$)
## 684 External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)
## 685 Net bilateral aid flows from DAC donors, Portugal (current US$)
## 686 Net bilateral aid flows from DAC donors, Spain (current US$)
## 687 S&P Global Equity Indices (annual % change)
## 688 Primary income receipts (BoP, current US$)
## 689 Current account balance (% of GDP)
## 690 Trade in services (% of GDP)
## 691 Urban land area where elevation is below 5 meters (% of total land area)
## 692 Gross capital formation (constant 2015 US$)
## 693 Exports of goods and services (annual % growth)
## 694 Households and NPISHs final consumption expenditure (% of GDP)
## 695 General government final consumption expenditure (current US$)
## 696 Lead time to import, median case (days)
## 697 Air transport, passengers carried
## 698 CPIA policies for social inclusion/equity cluster average (1=low to 6=high)
## 699 CPIA debt policy rating (1=low to 6=high)
## 700 Investment in energy with private participation (current US$)
## 701 Time required to start a business (days)
## 702 Firms that spend on R&D (% of firms)
## 703 Cost to export, documentary compliance (US$)
## 704 Human capital index (HCI), female, upper bound (scale 0-1)
## 705 Interest payments (% of revenue)
## 706 Customs and other import duties (current LCU)
## 707 Net incurrence of liabilities, total (% of GDP)
## 708 Domestic credit to private sector (% of GDP)
## 709 Claims on private sector (annual growth as % of broad money)
## 710 Automated teller machines (ATMs) (per 100,000 adults)
## 711 Aquaculture production (metric tons)
## 712 CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion)
## 713 Nitrous oxide emissions (thousand metric tons of CO2 equivalent)
## 714 CO2 emissions from solid fuel consumption (% of total)
## 715 Fossil fuel energy consumption (% of total)
## 716 Access to electricity (% of population)
## 717 Debt service on external debt, total (TDS, current US$)
## 718 Net official flows from UN agencies, UNRWA (current US$)
## 719 Commercial banks and other lending (PPG + PNG) (NFL, current US$)
## 720 Portfolio investment, bonds (PPG + PNG) (NFL, current US$)
## 721 External debt stocks (% of GNI)
## 722 Net bilateral aid flows from DAC donors, Netherlands (current US$)
## 723 Net bilateral aid flows from DAC donors, Switzerland (current US$)
## 724 Secondary income receipts (BoP, current US$)
## 725 Technical cooperation grants (BoP, current US$)
## 726 Foreign direct investment, net outflows (% of GDP)
## 727 Food production index (2014-2016 = 100)
## 728 Permanent cropland (% of land area)
## 729 Intentional homicides, male (per 100,000 male)
## 730 Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)
## 731 Agricultural raw materials exports (% of merchandise exports)
## 732 Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)
## 733 Tariff rate, applied, weighted mean, primary products (%)
## 734 Tariff rate, applied, weighted mean, manufactured products (%)
## 735 International tourism, receipts (current US$)
## 736 Population, male (% of total population)
## 737 Population ages 70-74, male (% of male population)
## 738 Population ages 45-49, male (% of male population)
## 739 Population ages 15-64, female (% of female population)
## 740 Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)
## 741 Death rate, crude (per 1,000 people)
## 742 Children in employment, wage workers, male (% of male children in employment, ages 7-14)
## 743 Unemployment with basic education, female (% of female labor force with basic education)
## 744 Labor force with intermediate education, male (% of male working-age population with intermediate education)
## 745 Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)
## 746 Children in employment, study and work (% of children in employment, ages 7-14)
## 747 Children in employment, self-employed, female (% of female children in employment, ages 7-14)
## 748 Wage and salaried workers, female (% of female employment) (modeled ILO estimate)
## 749 Employers, female (% of female employment) (modeled ILO estimate)
## 750 Survey mean consumption or income per capita, bottom 40% of population (2017 PPP $ per day)
## 751 Gini index
## 752 Out-of-pocket expenditure (% of current health expenditure)
## 753 Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)
## 754 Prevalence of wasting, weight for height (% of children under 5)
## 755 Mortality rate attributed to unintentional poisoning, female (per 100,000 female population)
## 756 People with basic handwashing facilities including soap and water (% of population)
## 757 Number of surgical procedures (per 100,000 population)
## 758 Community health workers (per 1,000 people)
## 759 Children (0-14) living with HIV
## 760 Women's share of population ages 15+ living with HIV (%)
## 761 Condom use, population ages 15-24, female (% of females ages 15-24)
## 762 Women Business and the Law Index Score (scale 1-100)
## 763 Tertiary education, academic staff (% female)
## 764 Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative)
## 765 Progression to secondary school (%)
## 766 Secondary education, general pupils
## 767 Lower secondary school starting age (years)
## 768 Repeaters, primary, male (% of male enrollment)
## 769 School enrollment, primary, female (% net)
## 770 Primary completion rate, male (% of relevant age group)
## 771 Literacy rate, adult total (% of people ages 15 and above)
## 772 Coverage of social safety net programs in richest quintile (% of population)
## 773 Coverage of social protection and labor programs (% of population)
## 774 Net primary income (Net income from abroad) (current LCU)
## 775 GNI growth (annual %)
## 776 GDP per capita (constant 2015 US$)
## 777 Gross value added at basic prices (GVA) (current LCU)
## 778 Adjusted net national income per capita (current US$)
## 779 Adjusted savings: net forest depletion (% of GNI)
## 780 Machinery and transport equipment (% of value added in manufacturing)
## 781 Financial intermediary services indirectly Measured (FISIM) (constant LCU)
## 782 Imports of goods and services (annual % growth)
## 783 Gross fixed capital formation (constant 2015 US$)
## 784 Gross national expenditure deflator (base year varies by country)
## 785 Households and NPISHs Final consumption expenditure (current LCU)
## 786 Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)
## 787 CPIA equity of public resource use rating (1=low to 6=high)
## 788 Patent applications, nonresidents
## 789 Tax payments (number)
## 790 Time required to register property (days)
## 791 Firms with female participation in ownership (% of firms)
## 792 Time to obtain an electrical connection (days)
## 793 Human capital index (HCI), lower bound (scale 0-1)
## 794 Compensation of employees (current LCU)
## 795 Taxes on exports (current LCU)
## 796 Net acquisition of financial assets (current LCU)
## 797 Real interest rate (%)
## 798 Claims on central government (annual growth as % of broad money)
## 799 Renewable internal freshwater resources per capita (cubic meters)
## 800 Population in the largest city (% of urban population)
## 801 GHG net emissions/removals by LUCF (Mt of CO2 equivalent)
## 802 Methane emissions (% change from 1990)
## 803 CO2 emissions from liquid fuel consumption (% of total)
## 804 Renewable energy consumption (% of total final energy consumption)
## 805 Access to clean fuels and technologies for cooking, urban (% of urban population)
## 806 Net ODA received (% of GNI)
## 807 Net official flows from UN agencies, UNECE (current US$)
## 808 Net financial flows, others (NFL, current US$)
## 809 IBRD loans and IDA credits (DOD, current US$)
## 810 Net ODA provided to the least developed countries (% of GNI)
## 811 Net bilateral aid flows from DAC donors, Iceland (current US$)
## 812 Net bilateral aid flows from DAC donors, Australia (current US$)
## 813 Transport services (% of service exports, BoP)
## 814 Portfolio investment, net (BoP, current US$)
## 815 Charges for the use of intellectual property, payments (BoP, current US$)
## 816 Rural land area (sq. km)
## 817 Agricultural land (% of land area)
## 818 Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)
## 819 CPIA social protection rating (1=low to 6=high)
## 820 Trademark applications, nonresident, by count
## 821 Total tax and contribution rate (% of profit)
## 822 Cost of business start-up procedures, female (% of GNI per capita)
## 823 Firms that do not report all sales for tax purposes (% of firms)
## 824 Firms experiencing electrical outages (% of firms)
## 825 Human capital index (HCI), male, lower bound (scale 0-1)
## 826 Goods and services expense (current LCU)
## 827 Taxes on goods and services (current LCU)
## 828 Central government debt, total (current LCU)
## 829 Claims on central government, etc. (% GDP)
## 830 Net domestic credit (current LCU)
## 831 Marine protected areas (% of territorial waters)
## 832 Population in urban agglomerations of more than 1 million (% of total population)
## 833 CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)
## 834 Agricultural nitrous oxide emissions (% of total)
## 835 CO2 emissions (kg per PPP $ of GDP)
## 836 GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)
## 837 Energy intensity level of primary energy (MJ/$2017 PPP GDP)
## 838 Net ODA received (% of imports of goods, services and primary income)
## 839 Net official flows from UN agencies, UNFPA (current US$)
## 840 PPG, official creditors (NFL, current US$)
## 841 Present value of external debt (% of exports of goods, services and primary income)
## 842 Net ODA provided, total (% of GNI)
## 843 Net bilateral aid flows from DAC donors, Japan (current US$)
## 844 Net bilateral aid flows from DAC donors, Belgium (current US$)
## 845 Foreign direct investment, net inflows (BoP, current US$)
## 846 Net secondary income (BoP, current US$)
## 847 Transport services (% of service imports, BoP)
## 848 Agricultural machinery, tractors per 100 sq. km of arable land
## 849 Arable land (hectares per person)
## 850 General government final consumption expenditure (constant 2015 US$)
## 851 Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)
## 852 Railways, passengers carried (million passenger-km)
## 853 CPIA trade rating (1=low to 6=high)
## 854 CPIA policy and institutions for environmental sustainability rating (1=low to 6=high)
## 855 Investment in transport with private participation (current US$)
## 856 Time required to start a business, male (days)
## 857 Firms offering formal training (% of firms)
## 858 Time to export, documentary compliance (hours)
## 859 Ease of doing business score (0 = lowest performance to 100 = best performance)
## 860 Other expense (current LCU)
## 861 Taxes on international trade (current LCU)
## 862 Net investment in nonfinancial assets (% of GDP)
## 863 Account ownership at a financial institution or with a mobile-money-service provider, richest 60% (% of population ages 15+)
## 864 Broad money (% of GDP)
## 865 Commercial bank branches (per 100,000 adults)
## 866 Total fisheries production (metric tons)
## 867 Fish species, threatened
## 868 PFC gas emissions (thousand metric tons of CO2 equivalent)
## 869 Other greenhouse gas emissions (% change from 1990)
## 870 Combustible renewables and waste (% of total energy)
## 871 Electricity production from oil, gas and coal sources (% of total)
## 872 Total debt service (% of GNI)
## 873 Net official flows from UN agencies, UNWTO (current US$)
## 874 PNG, commercial banks and other creditors (NFL, current US$)
## 875 Net official flows from UN agencies, FAO (current US$)
## 876 External debt stocks, long-term (DOD, current US$)
## 877 Net bilateral aid flows from DAC donors, New Zealand (current US$)
## 878 Net bilateral aid flows from DAC donors, Germany (current US$)
## 879 Personal remittances, received (current US$)
## 880 ICT service exports (% of service exports, BoP)
## 881 Personal remittances, paid (current US$)
## 882 Surface area (sq. km)
## 883 Rural land area where elevation is below 5 meters (% of total land area)
## 884 Intentional homicides (per 100,000 people)
## 885 Merchandise exports by the reporting economy, residual (% of total merchandise exports)
## 886 Food exports (% of merchandise exports)
## 887 Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)
## 888 Tariff rate, most favored nation, weighted mean, primary products (%)
## 889 Tariff rate, most favored nation, weighted mean, manufactured products (%)
## 890 International tourism, receipts (% of total exports)
## 891 Completeness of birth registration, female (%)
## 892 Population ages 75-79, female (% of female population)
## 893 Population ages 50-54, female (% of female population)
## 894 Population ages 15-64, male
## 895 Population ages 00-04, female (% of female population)
## 896 Contraceptive prevalence, any modern method (% of married women ages 15-49)
## 897 Children in employment, wage workers (% of children in employment, ages 7-14)
## 898 Unemployment with basic education, male (% of male labor force with basic education)
## 899 Labor force with intermediate education (% of total working-age population with intermediate education)
## 900 Labor force with advanced education, female (% of female working-age population with advanced education)
## 901 Average working hours of children, working only, female, ages 7-14 (hours per week)
## 902 Children in employment, self-employed, male (% of male children in employment, ages 7-14)
## 903 Wage and salaried workers, male (% of male employment) (modeled ILO estimate)
## 904 Employers, male (% of male employment) (modeled ILO estimate)
## 905 Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)
## 906 Poverty headcount ratio at $3.65 a day (2017 PPP) (% of population)
## 907 Out-of-pocket expenditure per capita (current US$)
## 908 Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure
## 909 Prevalence of severe wasting, weight for height, female (% of children under 5)
## 910 Mortality rate attributed to unintentional poisoning, male (per 100,000 male population)
## 911 Prevalence of underweight, weight for age, female (% of children under 5)
## 912 Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population)
## 913 Nurses and midwives (per 1,000 people)
## 914 Prevalence of HIV, female (% ages 15-24)
## 915 Prevalence of HIV, total (% of population ages 15-49)
## 916 Condom use, population ages 15-24, male (% of males ages 15-24)
## 917 Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)
## 918 Current education expenditure, primary (% of total expenditure in primary public institutions)
## 919 Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative)
## 920 Trained teachers in secondary education, female (% of female teachers)
## 921 Secondary education, general pupils (% female)
## 922 Lower secondary completion rate, female (% of relevant age group)
## 923 Repeaters, primary, total (% of total enrollment)
## 924 School enrollment, primary, male (% net)
## 925 Primary completion rate, total (% of relevant age group)
## 926 Compulsory education, duration (years)
## 927 Adequacy of social insurance programs (% of total welfare of beneficiary households)
## 928 Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households)
## 929 Net primary income (Net income from abroad) (constant LCU)
## 930 GNI (constant LCU)
## 931 GDP per capita growth (annual %)
## 932 Gross value added at basic prices (GVA) (constant 2015 US$)
## 933 Adjusted net national income per capita (constant 2015 US$)
## 934 Adjusted savings: consumption of fixed capital (current US$)
## 935 Other manufacturing (% of value added in manufacturing)
## 936 Industry (including construction), value added per worker (constant 2015 US$)
## 937 Commercial service exports (current US$)
## 938 Ores and metals exports (% of merchandise exports)
## 939 Merchandise imports from low- and middle-income economies within region (% of total merchandise imports)
## 940 ICT goods imports (% total goods imports)
## 941 Tariff rate, most favored nation, simple mean, all products (%)
## 942 International tourism, expenditures (current US$)
## 943 Completeness of death registration with cause-of-death information (%)
## 944 Age dependency ratio (% of working-age population)
## 945 Population ages 60-64, male (% of male population)
## 946 Population ages 20-24, male (% of male population)
## 947 Population ages 0-14, male (% of male population)
## 948 Life expectancy at birth, female (years)
## 949 International migrant stock (% of population)
## 950 Share of youth not in education, employment or training, female (% of female youth population)
## 951 Labor force, total
## 952 Labor force with basic education (% of total working-age population with basic education)
## 953 Children in employment, work only (% of children in employment, ages 7-14)
## 954 Employment in services, female (% of female employment) (modeled ILO estimate)
## 955 Contributing family workers, female (% of female employment) (modeled ILO estimate)
## 956 Female share of employment in senior and middle management (%)
## 957 Child employment in agriculture (% of economically active children ages 7-14)
## 958 Multidimensional poverty headcount ratio, female (% of female population)
## 959 Income share held by second 20%
## 960 Current health expenditure per capita (current US$)
## 961 Incidence of tuberculosis (per 100,000 people)
## 962 Prevalence of stunting, height for age, male (% of children under 5)
## 963 People practicing open defecation, rural (% of rural population)
## 964 People using at least basic sanitation services, rural (% of rural population)
## 965 Children with fever receiving antimalarial drugs (% of children under age 5 with fever)
## 966 Adults (ages 15+) and children (ages 0-14) newly infected with HIV
## 967 Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, male (%)
## 968 Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)
## 969 Women who believe a husband is justified in beating his wife when she goes out without telling him (%)
## 970 Expenditure on primary education (% of government expenditure on education)
## 971 Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative)
## 972 Trained teachers in upper secondary education, female (% of female teachers)
## 973 Secondary education, vocational pupils (% female)
## 974 Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative)
## 975 Primary education, teachers (% female)
## 976 Over-age students, primary, male (% of male enrollment)
## 977 Primary education, pupils
## 978 Preprimary education, duration (years)
## 979 Coverage of social insurance programs in 3rd quintile (% of population)
## 980 Coverage of unemployment benefits and ALMP in 3rd quintile (% of population)
## 981 Net secondary income (Net current transfers from abroad) (current LCU)
## 982 GNI per capita (constant 2015 US$)
## 983 Total natural resources rents (% of GDP)
## 984 GDP (current LCU)
## 985 Adjusted net savings, excluding particulate emission damage (% of GNI)
## 986 Adjusted savings: energy depletion (% of GNI)
## 987 Services, value added (current LCU)
## 988 Manufacturing, value added (constant LCU)
## 989 External balance on goods and services (% of GDP)
## 990 Changes in inventories (constant LCU)
## 991 Exports of goods and services (current US$)
## 992 Households and NPISHs Final consumption expenditure per capita growth (annual %)
## 993 Military expenditure (% of GDP)
## 994 Secure Internet servers (per 1 million people)
## 995 Internally displaced persons, new displacement associated with disasters (number of cases)
## 996 Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)
## 997 Medium and high-tech exports (% manufactured exports)
## 998 Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)
## 999 Tariff rate, applied, simple mean, primary products (%)
## 1000 Tariff rate, applied, simple mean, manufactured products (%)
## 1001 Unmet need for contraception (% of married women ages 15-49)
## 1002 Population, female
## 1003 Population ages 65 and above, total
## 1004 Population ages 40-44, female (% of female population)
## 1005 Population ages 15-19, female (% of female population)
## 1006 Female headed households (% of households with a female head)
## 1007 Mortality rate, adult, female (per 1,000 female adults)
## 1008 Unemployment, total (% of total labor force) (national estimate)
## 1009 Unemployment with advanced education, female (% of female labor force with advanced education)
## 1010 Labor force participation rate, total (% of total population ages 15+) (national estimate)
## 1011 Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate)
## 1012 Average working hours of children, study and work, male, ages 7-14 (hours per week)
## 1013 Child employment in manufacturing, female (% of female economically active children ages 7-14)
## 1014 Vulnerable employment, female (% of female employment) (modeled ILO estimate)
## 1015 Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)
## 1016 Poverty gap at $6.85 a day (2017 PPP) (%)
## 1017 Income share held by lowest 20%
## 1018 Domestic general government health expenditure (% of general government expenditure)
## 1019 Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)
## 1020 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population)
## 1021 Prevalence of overweight (modeled estimate, % of children under 5)
## 1022 Female genital mutilation prevalence (%)
## 1023 Prevalence of current tobacco use, males (% of male adults)
## 1024 Immunization, DPT (% of children ages 12-23 months)
## 1025 People using safely managed drinking water services, rural (% of rural population)
## 1026 Probability of dying among adolescents ages 10-14 years (per 1,000)
## 1027 Prevalence of anemia among women of reproductive age (% of women ages 15-49)
## 1028 Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)
## 1029 School enrollment, tertiary (% gross)
## 1030 Adolescents out of school, female (% of female lower secondary school age)
## 1031 School enrollment, secondary, private (% of total secondary)
## 1032 Secondary education, duration (years)
## 1033 Children out of school, primary, male
## 1034 Persistence to last grade of primary, male (% of cohort)
## 1035 Gross intake ratio in first grade of primary education, male (% of relevant age group)
## 1036 Trained teachers in preprimary education (% of total teachers)
## 1037 Literacy rate, youth total (% of people ages 15-24)
## 1038 Coverage of social safety net programs in 2nd quintile (% of population)
## 1039 PPP conversion factor, private consumption (LCU per international $)
## 1040 Gross savings (% of GNI)
## 1041 GNI (current LCU)
## 1042 Natural gas rents (% of GDP)
## 1043 Discrepancy in expenditure estimate of GDP (current LCU)
## 1044 Adjusted net national income (current US$)
## 1045 Adjusted savings: carbon dioxide damage (current US$)
## 1046 Industry (including construction), value added (% of GDP)
## 1047 Agriculture, forestry, and fishing, value added (constant LCU)
## 1048 Imports of goods and services (current US$)
## 1049 Gross fixed capital formation, private sector (% of GDP)
## 1050 Final consumption expenditure (annual % growth)
## 1051 General government final consumption expenditure (constant LCU)
## 1052 Individuals using the Internet (% of population)
## 1053 Air transport, registered carrier departures worldwide
## 1054 CPIA public sector management and institutions cluster average (1=low to 6=high)
## 1055 Trademark applications, resident, by count
## 1056 Time required to build a warehouse (days)
## 1057 Cost of business start-up procedures, male (% of GNI per capita)
## 1058 Firms visited or required meetings with tax officials (% of firms)
## 1059 Time required to get electricity (days)
## 1060 Human capital index (HCI), male (scale 0-1)
## 1061 Goods and services expense (% of expense)
## 1062 Taxes on goods and services (% of revenue)
## 1063 Central government debt, total (% of GDP)
## 1064 Claims on other sectors of the domestic economy (% of GDP)
## 1065 Net foreign assets (current LCU)
## 1066 Terrestrial and marine protected areas (% of total territorial area)
## 1067 Pump price for diesel fuel (US$ per liter)
## 1068 CO2 emissions from electricity and heat production, total (% of total fuel combustion)
## 1069 Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)
## 1070 CO2 emissions (kg per 2017 PPP $ of GDP)
## 1071 Energy imports, net (% of energy use)
## 1072 Access to electricity, rural (% of rural population)
## 1073 Net ODA received per capita (current US$)
## 1074 Net official flows from UN agencies, UNIDIR (current US$)
## 1075 PPG, bonds (NFL, current US$)
## 1076 Present value of external debt (% of GNI)
## 1077 Net ODA provided, total (constant 2020 US$)
## 1078 Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)
## 1079 Net bilateral aid flows from DAC donors, Canada (current US$)
## 1080 Foreign direct investment, net inflows (% of GDP)
## 1081 Net capital account (BoP, current US$)
## 1082 Travel services (% of service imports, BoP)
## 1083 Cereal production (metric tons)
## 1084 Arable land (% of land area)
## 1085 Merchandise exports by the reporting economy (current US$)
## 1086 Fuel exports (% of merchandise exports)
## 1087 Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)
## 1088 Import unit value index (2015 = 100)
## 1089 Binding coverage, all products (%)
## 1090 International tourism, receipts for passenger transport items (current US$)
## 1091 Completeness of birth registration, male (%)
## 1092 Population ages 75-79, male (% of male population)
## 1093 Population ages 50-54, male (% of male population)
## 1094 Population ages 15-64, male (% of male population)
## 1095 Population ages 00-04, male (% of male population)
## 1096 Contraceptive prevalence, any method (% of married women ages 15-49)
## 1097 Net migration
## 1098 Unemployment with basic education (% of total labor force with basic education)
## 1099 Part time employment, female (% of total female employment)
## 1100 Labor force with advanced education, male (% of male working-age population with advanced education)
## 1101 Children in employment, work only, female (% of female children in employment, ages 7-14)
## 1102 Children in employment, self-employed (% of children in employment, ages 7-14)
## 1103 Wage and salaried workers, total (% of total employment) (modeled ILO estimate)
## 1104 Employers, total (% of total employment) (modeled ILO estimate)
## 1105 Survey mean consumption or income per capita, total population (2017 PPP $ per day)
## 1106 Poverty gap at $3.65 a day (2017 PPP) (%)
## 1107 Out-of-pocket expenditure per capita, PPP (current international $)
## 1108 Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)
## 1109 Prevalence of severe wasting, weight for height, male (% of children under 5)
## 1110 People using safely managed sanitation services, rural (% of rural population)
## 1111 Prevalence of underweight, weight for age, male (% of children under 5)
## 1112 Mortality rate attributed to household and ambient air pollution, age-standardized, male (per 100,000 male population)
## 1113 Physicians (per 1,000 people)
## 1114 Prevalence of HIV, male (% ages 15-24)
## 1115 Mortality rate, under-5 (per 1,000 live births)
## 1116 Number of deaths ages 5-9 years
## 1117 Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)
## 1118 Current education expenditure, secondary (% of total expenditure in secondary public institutions)
## 1119 Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative)
## 1120 Trained teachers in lower secondary education, female (% of female teachers)
## 1121 Pupil-teacher ratio, lower secondary
## 1122 Lower secondary completion rate, male (% of relevant age group)
## 1123 Trained teachers in primary education, female (% of female teachers)
## 1124 Net intake rate in grade 1, female (% of official school-age population)
## 1125 Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative)
## 1126 School enrollment, primary (gross), gender parity index (GPI)
## 1127 Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits)
## 1128 Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)
## 1129 Taxes less subsidies on products (current US$)
## 1130 GNI, PPP (current international $)
## 1131 GDP per capita (constant LCU)
## 1132 Gross value added at basic prices (GVA) (constant LCU)
## 1133 Adjusted net national income per capita (annual % growth)
## 1134 Adjusted savings: consumption of fixed capital (% of GNI)
## 1135 Medium and high-tech manufacturing value added (% manufacturing value added)
## 1136 Manufacturing, value added (current US$)
## 1137 Imports of goods and services (% of GDP)
## 1138 Gross fixed capital formation (constant LCU)
## 1139 Gross national expenditure (current LCU)
## 1140 Households and NPISHs Final consumption expenditure (constant 2015 US$)
## 1141 Armed forces personnel, total
## 1142 Fixed telephone subscriptions (per 100 people)
## 1143 Internally displaced persons, total displaced by conflict and violence (number of people)
## 1144 Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)
## 1145 Export volume index (2000 = 100)
## 1146 Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)
## 1147 Tariff rate, most favored nation, simple mean, primary products (%)
## 1148 Tariff rate, most favored nation, simple mean, manufactured products (%)
## 1149 International tourism, number of arrivals
## 1150 Population, female (% of total population)
## 1151 Population ages 65 and above (% of total population)
## 1152 Population ages 40-44, male (% of male population)
## 1153 Population ages 15-19, male (% of male population)
## 1154 Women who were first married by age 15 (% of women ages 20-24)
## 1155 Mortality rate, adult, male (per 1,000 male adults)
## 1156 Unemployment, total (% of total labor force) (modeled ILO estimate)
## 1157 Unemployment with advanced education, male (% of male labor force with advanced education)
## 1158 Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)
## 1159 Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate)
## 1160 Children in employment, study and work, male (% of male children in employment, ages 7-14)
## 1161 Child employment in manufacturing, male (% of male economically active children ages 7-14)
## 1162 Vulnerable employment, male (% of male employment) (modeled ILO estimate)
## 1163 Employment to population ratio, ages 15-24, total (%) (national estimate)
## 1164 Average transaction cost of sending remittances to a specific country (%)
## 1165 Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population)
## 1166 Domestic general government health expenditure per capita (current US$)
## 1167 Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)
## 1168 Prevalence of wasting, weight for height, female (% of children under 5)
## 1169 Prevalence of overweight, weight for height (% of children under 5)
## 1170 People with basic handwashing facilities including soap and water, rural (% of rural population)
## 1171 Risk of catastrophic expenditure for surgical care (% of people at risk)
## 1172 Immunization, measles (% of children ages 12-23 months)
## 1173 People using safely managed drinking water services, urban (% of urban population)
## 1174 Probability of dying among adolescents ages 15-19 years (per 1,000)
## 1175 Prevalence of anemia among children (% of children ages 6-59 months)
## 1176 Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)
## 1177 School enrollment, tertiary, female (% gross)
## 1178 Adolescents out of school, male (% of male lower secondary school age)
## 1179 Progression to secondary school, female (%)
## 1180 Secondary education, pupils
## 1181 Children out of school, male (% of male primary school age)
## 1182 Persistence to last grade of primary, total (% of cohort)
## 1183 Gross intake ratio in first grade of primary education, total (% of relevant age group)
## 1184 Primary school starting age (years)
## 1185 Literacy rate, adult female (% of females ages 15 and above)
## 1186 Coverage of social safety net programs in 3rd quintile (% of population)
## 1187 Adequacy of social protection and labor programs (% of total welfare of beneficiary households)
## 1188 Gross savings (% of GDP)
## 1189 GNI: linked series (current LCU)
## 1190 GDP per capita (current US$)
## 1191 Discrepancy in expenditure estimate of GDP (constant LCU)
## 1192 Adjusted net national income (constant 2015 US$)
## 1193 Adjusted savings: carbon dioxide damage (% of GNI)
## 1194 Chemicals (% of value added in manufacturing)
## 1195 Agriculture, forestry, and fishing, value added (% of GDP)
## 1196 Imports of goods and services (current LCU)
## 1197 Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)
## 1198 CPIA macroeconomic management rating (1=low to 6=high)
## 1199 Industrial design applications, resident, by count
## 1200 Number of visits or required meetings with tax officials (average for affected firms)
## 1201 Strength of legal rights index (0=weak to 12=strong)
## 1202 Time required to obtain an operating license (days)
## 1203 Public credit registry coverage (% of adults)
## 1204 Human capital index (HCI) (scale 0-1)
## 1205 Taxes on income, profits and capital gains (% of revenue)
## 1206 Revenue, excluding grants (current LCU)
## 1207 Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
## 1208 Lending interest rate (%)
## 1209 Total reserves in months of imports
## 1210 Annual freshwater withdrawals, total (% of internal resources)
## 1211 Population living in slums (% of urban population)
## 1212 Bird species, threatened
## 1213 Energy related methane emissions (% of total)
## 1214 CO2 emissions (kt)
## 1215 Electricity production from renewable sources, excluding hydroelectric (kWh)
## 1216 Multilateral debt service (% of public and publicly guaranteed debt service)
## 1217 Net official development assistance received (current US$)
## 1218 Net official flows from UN agencies, UNHCR (current US$)
## 1219 Net financial flows, IDA (NFL, current US$)
## 1220 PPG, IBRD (DOD, current US$)
## 1221 Net bilateral aid flows from DAC donors, United States (current US$)
## 1222 Net bilateral aid flows from DAC donors, Hungary (current US$)
## 1223 Stocks traded, total value (% of GDP)
## 1224 Charges for the use of intellectual property, receipts (BoP, current US$)
## 1225 Net errors and omissions (BoP, current US$)
## 1226 Goods imports (BoP, current US$)
## 1227 Average precipitation in depth (mm per year)
## 1228 Fertilizer consumption (kilograms per hectare of arable land)
## 1229 Mobile cellular subscriptions
## 1230 Periodicity and timeliness assessment of statistical capacity (scale 0 - 100)
## 1231 CPIA gender equality rating (1=low to 6=high)
## 1232 Public private partnerships investment in transport (current US$)
## 1233 Time to prepare and pay taxes (hours)
## 1234 Time to import, border compliance (hours)
## 1235 Firms competing against unregistered firms (% of firms)
## 1236 New businesses registered (number)
## 1237 Subsidies and other transfers (current LCU)
## 1238 Tax revenue (current LCU)
## 1239 Grants and other revenue (% of revenue)
## 1240 Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
## 1241 Inflation, consumer prices (annual %)
## 1242 Bank liquid reserves to bank assets ratio (%)
## 1243 Annual freshwater withdrawals, industry (% of total freshwater withdrawal)
## 1244 Rural population living in areas where elevation is below 5 meters (% of total population)
## 1245 PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-3 value (% of total)
## 1246 Agricultural methane emissions (thousand metric tons of CO2 equivalent)
## 1247 CO2 emissions from gaseous fuel consumption (kt)
## 1248 Electricity production from nuclear sources (% of total)
## 1249 Public and publicly guaranteed debt service (% of GNI)
## 1250 Net official development assistance and official aid received (constant 2020 US$)
## 1251 Net financial flows, RDB nonconcessional (NFL, current US$)
## 1252 Net financial flows, IMF concessional (NFL, current US$)
## 1253 Short-term debt (% of total reserves)
## 1254 Net bilateral aid flows from DAC donors, Slovenia (current US$)
## 1255 Net bilateral aid flows from DAC donors, France (current US$)
## 1256 Market capitalization of listed domestic companies (% of GDP)
## 1257 Insurance and financial services (% of service exports, BoP)
## 1258 Net primary income (BoP, current US$)
## 1259 Primary income payments (BoP, current US$)
## 1260 Forest area (sq. km)
## 1261 Battle-related deaths (number of people)
## 1262 Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)
## 1263 Travel services (% of commercial service imports)
## 1264 Merchandise imports (current US$)
## 1265 Bound rate, simple mean, primary products (%)
## 1266 Bound rate, simple mean, manufactured products (%)
## 1267 Urban population
## 1268 Technicians in R&D (per million people)
## 1269 Population ages 65 and above, male
## 1270 Population ages 35-39, female (% of female population)
## 1271 Population ages 10-14, female (% of female population)
## 1272 Survival to age 65, male (% of cohort)
## 1273 Vitamin A supplementation coverage rate (% of children ages 6-59 months)
## 1274 Unemployment, male (% of male labor force) (national estimate)
## 1275 Unemployment, youth total (% of total labor force ages 15-24) (national estimate)
## 1276 Labor force participation rate, male (% of male population ages 15+) (national estimate)
## 1277 Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate)
## 1278 Average working hours of children, study and work, female, ages 7-14 (hours per week)
## 1279 Employment in industry, male (% of male employment) (modeled ILO estimate)
## 1280 Employment to population ratio, 15+, total (%) (national estimate)
## 1281 Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)
## 1282 Poverty headcount ratio at national poverty lines (% of population)
## 1283 Proportion of people living below 50 percent of median income (%)
## 1284 Domestic general government health expenditure (% of current health expenditure)
## 1285 Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)
## 1286 Suicide mortality rate (per 100,000 population)
## 1287 Prevalence of overweight, weight for height, female (% of children under 5)
## 1288 Low-birthweight babies (% of births)
## 1289 Prevalence of current tobacco use (% of adults)
## 1290 Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV)
## 1291 People using at least basic drinking water services, urban (% of urban population)
## 1292 Number of neonatal deaths
## 1293 Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)
## 1294 Government expenditure on education, total (% of government expenditure)
## 1295 Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative)
## 1296 Secondary education, teachers, female
## 1297 School enrollment, secondary, female (% net)
## 1298 Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative)
## 1299 Children out of school, primary, female
## 1300 Persistence to grade 5, total (% of cohort)
## 1301 School enrollment, primary, male (% gross)
## 1302 Trained teachers in preprimary education, female (% of female teachers)
## 1303 Literacy rate, youth (ages 15-24), gender parity index (GPI)
## 1304 Coverage of social safety net programs (% of population)
## 1305 PPP conversion factor, GDP (LCU per international $)
## 1306 Gross savings (current US$)
## 1307 GNI, Atlas method (current US$)
## 1308 GDP, PPP (current international $)
## 1309 GDP deflator (base year varies by country)
## 1310 Adjusted savings: net national savings (current US$)
## 1311 Adjusted savings: education expenditure (current US$)
## 1312 Industry (including construction), value added (annual % growth)
## 1313 Agriculture, forestry, and fishing, value added (constant 2015 US$)
## 1314 Gross capital formation (constant LCU)
## 1315 Exports of goods and services (% of GDP)
## 1316 Final consumption expenditure (current LCU)
## 1317 Intentional homicides, female (per 100,000 female)
## 1318 Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)
## 1319 Export unit value index (2015 = 100)
## 1320 Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)
## 1321 Share of tariff lines with specific rates, primary products (%)
## 1322 Share of tariff lines with specific rates, manufactured products (%)
## 1323 International tourism, number of departures
## 1324 Population, male
## 1325 Population ages 70-74, female (% of female population)
## 1326 Population ages 45-49, female (% of female population)
## 1327 Population ages 15-64, female
## 1328 Women who were first married by age 18 (% of women ages 20-24)
## 1329 Birth rate, crude (per 1,000 people)
## 1330 Children in employment, wage workers, female (% of female children in employment, ages 7-14)
## 1331 Unemployment with advanced education (% of total labor force with advanced education)
## 1332 Labor force with intermediate education, female (% of female working-age population with intermediate education)
## 1333 Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate)
## 1334 Average working hours of children, study and work, ages 7-14 (hours per week)
## 1335 Child employment in manufacturing (% of economically active children ages 7-14)
## 1336 Vulnerable employment, total (% of total employment) (modeled ILO estimate)
## 1337 Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)
## 1338 Average transaction cost of sending remittances from a specific country (%)
## 1339 Poverty gap at $2.15 a day (2017 PPP) (%)
## 1340 Domestic general government health expenditure per capita, PPP (current international $)
## 1341 Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure
## 1342 Prevalence of wasting, weight for height, male (% of children under 5)
## 1343 Mortality rate attributed to unintentional poisoning (per 100,000 population)
## 1344 People with basic handwashing facilities including soap and water, urban (% of urban population)
## 1345 Risk of impoverishing expenditure for surgical care (% of people at risk)
## 1346 Hospital beds (per 1,000 people)
## 1347 People using safely managed drinking water services (% of population)
## 1348 Probability of dying among youth ages 20-24 years (per 1,000)
## 1349 Prevalence of anemia among non-pregnant women (% of women ages 15-49)
## 1350 Proportion of seats held by women in national parliaments (%)
## 1351 School enrollment, tertiary, male (% gross)
## 1352 Adolescents out of school (% of lower secondary school age)
## 1353 Progression to secondary school, male (%)
## 1354 Secondary education, pupils (% female)
## 1355 Children out of school (% of primary school age)
## 1356 Repeaters, primary, female (% of female enrollment)
## 1357 School enrollment, primary (% net)
## 1358 Primary completion rate, female (% of relevant age group)
## 1359 Literacy rate, adult male (% of males ages 15 and above)
## 1360 Coverage of social safety net programs in 4th quintile (% of population)
## 1361 Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits)
## 1362 Net primary income (Net income from abroad) (current US$)
## 1363 GNI (constant 2015 US$)
## 1364 GDP per capita (current LCU)
## 1365 Gross value added at basic prices (GVA) (current US$)
## 1366 Adjusted net national income (annual % growth)
## 1367 Adjusted savings: net forest depletion (current US$)
## 1368 Food, beverages and tobacco (% of value added in manufacturing)
## 1369 Financial intermediary services indirectly Measured (FISIM) (current LCU)
## 1370 Imports of goods and services (constant 2015 US$)
## 1371 Gross fixed capital formation (current LCU)
## 1372 Final consumption expenditure (% of GDP)
## 1373 Households and NPISHs Final consumption expenditure (current US$)
## 1374 Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)
## 1375 Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)
## 1376 CPIA property rights and rule-based governance rating (1=low to 6=high)
## 1377 Patent applications, residents
## 1378 Profit tax (% of commercial profits)
## 1379 Procedures to register property (number)
## 1380 Firms formally registered when operations started (% of firms)
## 1381 Power outages in firms in a typical month (number)
## 1382 Human capital index (HCI), female, lower bound (scale 0-1)
## 1383 Compensation of employees (% of expense)
## 1384 Taxes on exports (% of tax revenue)
## 1385 Net acquisition of financial assets (% of GDP)
## 1386 Risk premium on lending (lending rate minus treasury bill rate, %)
## 1387 Claims on other sectors of the domestic economy (annual growth as % of broad money)
## 1388 Terrestrial protected areas (% of total land area)
## 1389 Population in urban agglomerations of more than 1 million
## 1390 Droughts, floods, extreme temperatures (% of population, average 1990-2009)
## 1391 Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)
## 1392 CO2 emissions (metric tons per capita)
## 1393 GDP per unit of energy use (PPP $ per kg of oil equivalent)
## 1394 Access to clean fuels and technologies for cooking (% of population)
## 1395 Net official development assistance received (constant 2020 US$)
## 1396 Net official flows from UN agencies, UNEP (current US$)
## 1397 IFC, private nonguaranteed (NFL, current US$)
## 1398 Present value of external debt (current US$)
## 1399 Net ODA provided, total (current US$)
## 1400 Net bilateral aid flows from DAC donors, Italy (current US$)
## 1401 Net bilateral aid flows from DAC donors, Austria (current US$)
## 1402 Travel services (% of service exports, BoP)
## 1403 Reserves and related items (BoP, current US$)
## 1404 Imports of goods, services and primary income (BoP, current US$)
## 1405 Urban land area (sq. km)
## 1406 Arable land (hectares)
## 1407 Gross fixed capital formation (current US$)
## 1408 Final consumption expenditure (constant LCU)
## 1409 General government final consumption expenditure (% of GDP)
## 1410 Logistics performance index: Overall (1=low to 5=high)
## 1411 Container port traffic (TEU: 20 foot equivalent units)
## 1412 Statistical Capacity Score (Overall Average) (scale 0 - 100)
## 1413 CPIA fiscal policy rating (1=low to 6=high)
## 1414 Public private partnerships investment in ICT (current US$)
## 1415 Start-up procedures to register a business, male (number)
## 1416 Cost to import, documentary compliance (US$)
## 1417 Bribery incidence (% of firms experiencing at least one bribe payment request)
## 1418 New business density (new registrations per 1,000 people ages 15-64)
## 1419 Expense (% of GDP)
## 1420 Other taxes (% of revenue)
## 1421 Grants and other revenue (current LCU)
## 1422 Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
## 1423 Consumer price index (2010 = 100)
## 1424 Domestic credit to private sector by banks (% of GDP)
## 1425 Annual freshwater withdrawals, domestic (% of total freshwater withdrawal)
## 1426 Population density (people per sq. km of land area)
## 1427 PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-2 value (% of total)
## 1428 HFC gas emissions (thousand metric tons of CO2 equivalent)
## 1429 CO2 intensity (kg per kg of oil equivalent energy use)
## 1430 Electricity production from natural gas sources (% of total)
## 1431 Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$)
## 1432 Net official development assistance and official aid received (current US$)
## 1433 Net financial flows, RDB concessional (NFL, current US$)
## 1434 Net official flows from UN agencies, ILO (current US$)
## 1435 External debt stocks, short-term (DOD, current US$)
## 1436 Net bilateral aid flows from DAC donors, Slovak Republic (current US$)
## 1437 Net bilateral aid flows from DAC donors, Finland (current US$)
## 1438 Market capitalization of listed domestic companies (current US$)
## 1439 Exports of goods and services (BoP, current US$)
## 1440 Net financial account (BoP, current US$)
## 1441 Communications, computer, etc. (% of service imports, BoP)
## 1442 Land area where elevation is below 5 meters (% of total land area)
## IndicatorCode X1960 X1961
## 1 TX.VAL.TECH.MF.ZS NA NA
## 2 TX.VAL.MRCH.CD.WT 17000000.000000000 5000000.00000000
## 3 TM.VAL.OTHR.ZS.WT NA NA
## 4 TM.VAL.MANF.ZS.UN NA NA
## 5 TM.TAX.MRCH.WM.AR.ZS NA NA
## 6 TG.VAL.TOTL.GD.ZS 10.819649130 4.88758956
## 7 SP.RUR.TOTL.ZG NA 1.49806251
## 8 SP.POP.DPND.YG 70.846138950 71.55291271
## 9 SP.POP.6569.MA.5Y 1.193400176 1.19889607
## 10 SP.POP.2529.MA.5Y 7.636705233 7.61030986
## 11 SP.POP.0014.TO.ZS 40.413931650 40.62414291
## 12 SP.DYN.LE00.MA.IN 35.552000000 35.90700000
## 13 SN.ITK.MSFI.ZS NA NA
## 14 SL.UEM.NEET.ZS NA NA
## 15 SL.UEM.1524.FE.ZS NA NA
## 16 SL.TLF.CACT.FE.ZS NA NA
## 17 SL.TLF.ACTI.1524.FE.NE.ZS NA 73.29000092
## 18 SL.SRV.EMPL.ZS NA NA
## 19 SL.FAM.WORK.ZS NA NA
## 20 SL.EMP.TOTL.SP.FE.ZS NA NA
## 21 SL.AGR.EMPL.MA.ZS NA NA
## 22 SI.POV.MDIM.IT NA NA
## 23 SI.DST.04TH.20 NA NA
## 24 SH.XPD.EHEX.CH.ZS NA NA
## 25 SH.UHC.NOP1.TO NA NA
## 26 SH.STA.STNT.ZS NA NA
## 27 SH.STA.ODFC.ZS NA NA
## 28 SH.STA.BASS.ZS NA NA
## 29 SH.MMR.RISK NA NA
## 30 SH.HIV.INCD.YG NA NA
## 31 SH.DYN.NMRT 97.200000000 96.60000000
## 32 SH.DTH.INJR.ZS NA NA
## 33 SG.VAW.REAS.ZS NA NA
## 34 SE.XPD.SECO.ZS NA NA
## 35 SE.TER.CUAT.MS.ZS NA NA
## 36 SE.SEC.TCAQ.UP.ZS NA NA
## 37 SE.SEC.ENRR.FE NA NA
## 38 SE.SEC.CUAT.PO.MA.ZS NA NA
## 39 SE.PRM.TENR.FE NA NA
## 40 SE.PRM.PRIV.ZS NA NA
## 41 SE.PRM.ENRL.TC.ZS NA NA
## 42 SE.PRE.ENRR NA NA
## 43 per_si_allsi.cov_q5_tot NA NA
## 44 per_lm_alllm.cov_q5_tot NA NA
## 45 NY.TTF.GNFS.KN NA NA
## 46 NY.GNP.PCAP.KN NA NA
## 47 NY.GDS.TOTL.CN NA NA
## 48 NY.GDP.MKTP.KD 3312006963.000000000 3375208865.00000000
## 49 NY.GDP.COAL.RT.ZS NA NA
## 50 NY.ADJ.DPEM.GN.ZS NA NA
## 51 NV.SRV.TOTL.KD.ZG NA NA
## 52 NV.IND.TOTL.CD NA NA
## 53 NV.AGR.EMPL.KD NA NA
## 54 NE.GDI.TOTL.CN NA NA
## 55 NE.EXP.GNFS.KD NA NA
## 56 NE.CON.PRVT.PP.KD NA NA
## 57 MS.MIL.XPRT.KD NA NA
## 58 LP.EXP.DURS.MD NA NA
## 59 TX.VAL.MRCH.XD.WD NA NA
## 60 TX.VAL.INSF.ZS.WT NA NA
## 61 TM.VAL.MRCH.RS.ZS NA NA
## 62 TM.VAL.FOOD.ZS.UN NA NA
## 63 TM.TAX.MRCH.IP.ZS NA NA
## 64 ST.INT.TVLR.CD NA NA
## 65 SP.REG.BRTH.UR.ZS NA NA
## 66 SP.POP.80UP.MA.5Y 0.060872777 0.08637051
## 67 SP.POP.5559.MA.5Y 2.611912527 2.62718267
## 68 SP.POP.1564.TO.ZS 57.044645990 56.77495972
## 69 SP.POP.0014.FE.ZS 39.318544300 39.53328402
## 70 SP.DYN.IMRT.IN 218.200000000 215.50000000
## 71 SM.POP.REFG.OR NA NA
## 72 SL.UEM.INTM.MA.ZS NA NA
## 73 SL.TLF.PART.ZS NA NA
## 74 SL.TLF.BASC.FE.ZS NA NA
## 75 SL.TLF.0714.WK.MA.ZS NA NA
## 76 SL.SRV.0714.MA.ZS NA NA
## 77 SL.FAM.0714.MA.ZS NA NA
## 78 SL.EMP.SELF.MA.ZS NA NA
## 79 SL.AGR.0714.FE.ZS NA NA
## 80 SI.POV.MDIM.17 NA NA
## 81 SH.XPD.PVTD.PC.CD NA NA
## 82 SH.VAC.TTNS.ZS NA NA
## 83 SH.TBS.CURE.ZS NA NA
## 84 SH.STA.SMSS.ZS NA NA
## 85 SH.STA.MMRT NA NA
## 86 SH.STA.ANVC.ZS NA NA
## 87 SH.MLR.INCD.P3 NA NA
## 88 SH.HIV.INCD NA NA
## 89 SH.DYN.MORT.MA 324.000000000 320.20000000
## 90 SH.DTH.1519 NA NA
## 91 SG.VAW.ARGU.ZS NA NA
## 92 SE.XPD.CTOT.ZS NA NA
## 93 SE.TER.CUAT.DO.MA.ZS NA NA
## 94 SE.SEC.TCAQ.LO.ZS NA NA
## 95 SE.SEC.ENRL.UP.TC.ZS NA NA
## 96 SE.SEC.CUAT.LO.FE.ZS NA NA
## 97 SE.PRM.TCAQ.ZS NA NA
## 98 SE.PRM.NINT.ZS NA NA
## 99 SE.PRM.CUAT.ZS NA NA
## 100 SE.ENR.SECO.FM.ZS NA NA
## 101 per_si_allsi.cov_q1_tot NA NA
## 102 per_lm_alllm.cov_q1_tot NA NA
## 103 NY.TAX.NIND.KN NA NA
## 104 NY.GNP.PCAP.CD NA NA
## 105 NY.GDP.PCAP.PP.KD NA NA
## 106 NY.GDP.MINR.RT.ZS NA NA
## 107 NY.ADJ.SVNG.GN.ZS NA NA
## 108 NY.ADJ.DMIN.GN.ZS NA NA
## 109 NV.SRV.EMPL.KD NA NA
## 110 NV.IND.MANF.KD NA NA
## 111 NE.RSB.GNFS.CN NA NA
## 112 NE.GDI.STKB.CD NA NA
## 113 NE.DAB.TOTL.KN NA NA
## 114 NE.CON.PRVT.KN NA NA
## 115 MS.MIL.XPND.CD NA NA
## 116 IT.NET.BBND.P2 NA NA
## 117 TX.VAL.TRVL.ZS.WT NA NA
## 118 TX.VAL.MRCH.OR.ZS NA NA
## 119 TM.VAL.TRAN.ZS.WT NA NA
## 120 TM.VAL.MRCH.AL.ZS NA NA
## 121 TM.TAX.TCOM.BC.ZS NA NA
## 122 TM.TAX.MANF.BC.ZS NA NA
## 123 SP.URB.GROW NA 4.17379250
## 124 SP.POP.SCIE.RD.P6 NA NA
## 125 SP.POP.65UP.FE.ZS 2.767254237 2.83425040
## 126 SP.POP.3034.MA.5Y 6.814297541 6.75078369
## 127 SP.POP.0509.MA.5Y 14.113155880 14.42686246
## 128 SP.DYN.TO65.FE.ZS 24.312527800 24.70484740
## 129 SN.ITK.SVFI.ZS NA NA
## 130 SL.UEM.TOTL.FE.ZS NA NA
## 131 SL.UEM.1524.MA.ZS NA NA
## 132 SL.TLF.CACT.FM.ZS NA NA
## 133 SL.TLF.ACTI.1524.MA.NE.ZS NA 94.11000061
## 134 SL.TLF.0714.MA.ZS NA NA
## 135 SL.IND.EMPL.FE.ZS NA NA
## 136 SL.EMP.TOTL.SP.MA.ZS NA NA
## 137 SL.EMP.1524.SP.FE.NE.ZS NA NA
## 138 SI.POV.MDIM.XQ NA NA
## 139 SI.DST.10TH.10 NA NA
## 140 SH.XPD.EHEX.PP.CD NA NA
## 141 SH.UHC.NOP1.ZS NA NA
## 142 SH.STA.SUIC.MA.P5 NA NA
## 143 SH.STA.ORTH NA NA
## 144 SH.STA.BRTC.ZS NA NA
## 145 SH.PRG.ANEM NA NA
## 146 SH.HIV.INCD.ZS NA NA
## 147 SH.H2O.BASW.RU.ZS NA NA
## 148 SH.DTH.NCOM.ZS NA NA
## 149 SH.ALC.PCAP.FE.LI NA NA
## 150 SE.XPD.TERT.ZS NA NA
## 151 SE.TER.CUAT.ST.MA.ZS NA NA
## 152 SE.SEC.TCHR NA NA
## 153 SE.SEC.NENR NA NA
## 154 SE.SEC.CUAT.UP.FE.ZS NA NA
## 155 SE.PRM.UNER NA NA
## 156 SE.PRM.PRS5.MA.ZS NA NA
## 157 SE.PRM.ENRR.FE NA NA
## 158 SE.PRE.ENRR.MA NA NA
## 159 SE.ADT.1524.LT.FE.ZS NA NA
## 160 per_sa_allsa.ben_q1_tot NA NA
## 161 PA.NUS.FCRF 7.500000007 7.61900001
## 162 NY.GNP.PCAP.PP.KD NA NA
## 163 NY.GDY.TOTL.KN NA NA
## 164 NY.GDP.MKTP.KN 253000000000.000000000 258000000000.00000000
## 165 NY.GDP.DEFL.KD.ZG.AD NA NA
## 166 NY.ADJ.ICTR.GN.ZS NA NA
## 167 NV.SRV.TOTL.ZS 98.605729370 98.61830739
## 168 NV.IND.TOTL.KD NA NA
## 169 NV.AGR.TOTL.CN NA NA
## 170 NE.GDI.TOTL.KD.ZG NA NA
## 171 NE.EXP.GNFS.KN NA NA
## 172 NE.CON.TOTL.CD NA NA
## 173 NE.CON.GOVT.CN NA NA
## 174 LP.LPI.CUST.XQ NA NA
## 175 IS.RRS.GOOD.MT.K6 NA NA
## 176 IQ.CPA.STRC.XQ NA NA
## 177 IQ.CPA.ECON.XQ NA NA
## 178 IQ.CPA.TRAN.XQ NA NA
## 179 IQ.CPA.FINQ.XQ NA NA
## 180 IE.PPI.WATR.CD NA NA
## 181 IC.REG.PROC NA NA
## 182 IC.GOV.DURS.ZS NA NA
## 183 IC.FRM.BKWC.ZS NA NA
## 184 IC.BUS.DISC.XQ NA NA
## 185 GC.XPN.OTHR.ZS NA NA
## 186 GC.TAX.INTT.RV.ZS NA NA
## 187 GC.NLD.TOTL.CN NA NA
## 188 FX.OWN.TOTL.FE.ZS NA NA
## 189 FM.LBL.BMNY.IR.ZS 1.427345237 1.39294466
## 190 FB.CBK.BRWR.P3 NA NA
## 191 ER.GDP.FWTL.M3.KD NA NA
## 192 EN.HPT.THRD.NO NA NA
## 193 EN.ATM.PM25.MC.M3 NA NA
## 194 EN.ATM.GHGT.KT.CE NA NA
## 195 EG.USE.ELEC.KH.PC NA NA
## 196 EG.ELC.HYRO.ZS NA NA
## 197 DT.TDS.DIMF.CD NA NA
## 198 DT.NFL.WFPG.CD NA NA
## 199 DT.NFL.PROP.CD NA NA
## 200 DT.NFL.IAEA.CD NA NA
## 201 DT.DOD.DPNG.CD NA NA
## 202 DC.DAC.POLL.CD NA NA
## 203 DC.DAC.DNKL.CD NA NA
## 204 BX.TRF.PWKR.DT.GD.ZS NA NA
## 205 BX.GSR.CMCP.ZS NA NA
## 206 BN.CAB.XOKA.CD NA NA
## 207 AG.YLD.CREL.KG NA 1846.60000000
## 208 AG.LND.EL5M.UR.K2 NA NA
## 209 TX.VAL.TRAN.ZS.WT NA NA
## 210 TX.VAL.MRCH.HI.ZS NA NA
## 211 TM.VAL.SERV.CD.WT NA NA
## 212 TM.VAL.MMTL.ZS.UN NA NA
## 213 TM.TAX.MRCH.WM.FN.ZS NA NA
## 214 TM.QTY.MRCH.XD.WD NA NA
## 215 SP.RUR.TOTL.ZS 96.520000000 96.42900000
## 216 SP.POP.GROW NA 1.59239034
## 217 SP.POP.65UP.FE.IN 140208.000000000 145859.00000000
## 218 SP.POP.3034.FE.5Y 7.127621760 7.03851447
## 219 SP.POP.0509.FE.5Y 13.362410870 13.67821807
## 220 SP.DYN.TFRT.IN 5.959000000 5.96000000
## 221 SN.ITK.SALT.ZS NA NA
## 222 SL.UEM.TOTL.FE.NE.ZS NA NA
## 223 SL.UEM.1524.MA.NE.ZS NA NA
## 224 SL.TLF.CACT.FM.NE.ZS NA 63.17965191
## 225 SL.TLF.ACTI.1524.FE.ZS NA NA
## 226 SL.TLF.0714.FE.ZS NA NA
## 227 SL.GDP.PCAP.EM.KD NA NA
## 228 SL.EMP.TOTL.SP.MA.NE.ZS NA NA
## 229 SL.AGR.EMPL.ZS NA NA
## 230 SI.POV.MDIM.MA NA NA
## 231 SI.DST.05TH.20 NA NA
## 232 SH.XPD.EHEX.PC.CD NA NA
## 233 SH.UHC.NOP1.ZG NA NA
## 234 SH.STA.SUIC.FE.P5 NA NA
## 235 SH.STA.ORCF.ZS NA NA
## 236 SH.STA.BFED.ZS NA NA
## 237 SH.MMR.RISK.ZS NA NA
## 238 SH.HIV.INCD.YG.P3 NA NA
## 239 SH.FPL.SATM.ZS NA NA
## 240 SH.DTH.MORT 142172.000000000 141558.00000000
## 241 SG.VAW.REFU.ZS NA NA
## 242 SE.XPD.TERT.PC.ZS NA NA
## 243 SE.TER.CUAT.ST.FE.ZS NA NA
## 244 SE.SEC.TCAQ.ZS NA NA
## 245 SE.SEC.ENRR.MA NA NA
## 246 SE.SEC.CUAT.PO.ZS NA NA
## 247 SE.PRM.TENR.MA NA NA
## 248 SE.PRM.PRS5.FE.ZS NA NA
## 249 SE.PRM.ENRR NA NA
## 250 SE.PRE.ENRR.FE NA NA
## 251 PX.REX.REER NA NA
## 252 per_sa_allsa.adq_pop_tot NA NA
## 253 PA.NUS.ATLS 7.619000000 7.61900000
## 254 NY.GNP.PCAP.PP.CD NA NA
## 255 NY.GDS.TOTL.ZS NA NA
## 256 NY.GDP.MKTP.KD.ZG NA 1.90826597
## 257 NY.GDP.DEFL.KD.ZG NA 2.68799999
## 258 NY.ADJ.DRES.GN.ZS NA NA
## 259 NV.SRV.TOTL.KN NA NA
## 260 NV.IND.TOTL.CN NA NA
## 261 NV.AGR.TOTL.CD NA NA
## 262 TX.VAL.OTHR.ZS.WT NA NA
## 263 TX.VAL.MANF.ZS.UN NA NA
## 264 TM.VAL.MRCH.WL.CD NA NA
## 265 TM.VAL.FUEL.ZS.UN NA NA
## 266 TM.TAX.MRCH.SM.AR.ZS NA NA
## 267 ST.INT.TVLX.CD NA NA
## 268 SP.REG.BRTH.ZS NA NA
## 269 SP.POP.BRTH.MF NA NA
## 270 SP.POP.6064.FE.5Y 2.066085445 2.09989742
## 271 SP.POP.2024.FE.5Y 8.625228774 8.58683104
## 272 SP.POP.0014.MA.IN 2091705.000000000 2136537.00000000
## 273 SP.DYN.IMRT.MA.IN 226.300000000 223.40000000
## 274 SM.POP.TOTL 337636.000000000 NA
## 275 SL.UEM.INTM.ZS NA NA
## 276 SL.TLF.TOTL.FE.ZS NA NA
## 277 SL.TLF.BASC.MA.ZS NA NA
## 278 SL.TLF.0714.WK.TM NA NA
## 279 SL.SRV.0714.ZS NA NA
## 280 SL.FAM.0714.ZS NA NA
## 281 SL.EMP.SELF.ZS NA NA
## 282 SL.AGR.0714.MA.ZS NA NA
## 283 SI.POV.MDIM.17.XQ NA NA
## 284 SH.XPD.PVTD.PP.CD NA NA
## 285 SH.XPD.CHEX.GD.ZS NA NA
## 286 SH.TBS.DTEC.ZS NA NA
## 287 SH.STA.STNT.FE.ZS NA NA
## 288 SH.STA.MMRT.NE NA NA
## 289 SH.STA.ARIC.ZS NA NA
## 290 SH.MLR.NETS.ZS NA NA
## 291 SH.HIV.INCD.14 NA NA
## 292 SH.DYN.NCOM.FE.ZS NA NA
## 293 SH.DTH.2024 NA NA
## 294 SG.VAW.BURN.ZS NA NA
## 295 SE.XPD.PRIM.PC.ZS NA NA
## 296 SE.TER.CUAT.DO.ZS NA NA
## 297 SE.SEC.TCAQ.MA.ZS NA NA
## 298 SE.SEC.ENRL.VO NA NA
## 299 SE.SEC.CUAT.LO.MA.ZS NA NA
## 300 SE.PRM.TCHR NA NA
## 301 SE.PRM.OENR.FE.ZS NA NA
## 302 SE.PRM.DURS NA NA
## 303 SE.ENR.TERT.FM.ZS NA NA
## 304 per_si_allsi.cov_q2_tot NA NA
## 305 per_lm_alllm.cov_q2_tot NA NA
## 306 NY.TRF.NCTR.CD NA NA
## 307 NY.GNP.PCAP.CN 383.273320500 394.74990410
## 308 NY.GDP.PETR.RT.ZS NA NA
## 309 NY.GDP.MKTP.CD 508334414.000000000 531959561.60000002
## 310 NY.ADJ.SVNX.CD NA NA
## 311 NY.ADJ.DNGY.CD NA NA
## 312 NV.SRV.TOTL.CD 501246856.500000000 524609515.69999999
## 313 NV.IND.MANF.KD.ZG NA NA
## 314 NE.RSB.GNFS.KN NA NA
## 315 NE.GDI.STKB.CN NA NA
## 316 NE.DAB.TOTL.ZS NA NA
## 317 NE.CON.PRVT.PC.KD NA NA
## 318 MS.MIL.XPND.CN NA NA
## 319 IT.NET.SECR NA NA
## 320 VC.IDP.NWCV NA NA
## 321 TX.VAL.MRCH.R2.ZS NA NA
## 322 TT.PRI.MRCH.XD.WD NA NA
## 323 TM.VAL.MRCH.HI.ZS NA NA
## 324 TM.TAX.TCOM.IP.ZS NA NA
## 325 TM.TAX.MANF.IP.ZS NA NA
## 326 SP.URB.TOTL.IN.ZS 3.480000000 3.57100000
## 327 SP.POP.TOTL 10105060.000000000 10267260.00000000
## 328 SP.POP.65UP.MA.ZS 2.314376237 2.36615745
## 329 SP.POP.3539.MA.5Y 5.847934762 5.84038816
## 330 SP.POP.1014.MA.5Y 10.823406030 11.05753393
## 331 SP.DYN.WFRT NA NA
## 332 SP.ADO.TFRT 125.243000000 125.24300000
## 333 SL.UEM.TOTL.MA.ZS NA NA
## 334 SL.UEM.1524.ZS NA NA
## 335 SL.TLF.CACT.MA.ZS NA NA
## 336 SL.TLF.ACTI.1524.NE.ZS NA 83.37999725
## 337 SL.TLF.0714.SW.FE.ZS NA NA
## 338 SL.IND.EMPL.ZS NA NA
## 339 SL.EMP.TOTL.SP.ZS NA NA
## 340 SL.EMP.1524.SP.MA.NE.ZS NA NA
## 341 SI.POV.UMIC NA NA
## 342 SI.DST.FRST.10 NA NA
## 343 SH.XPD.GHED.GD.ZS NA NA
## 344 SH.UHC.NOP2.TO NA NA
## 345 SH.STA.TRAF.P5 NA NA
## 346 SH.STA.OWGH.MA.ZS NA NA
## 347 SH.STA.DIAB.ZS NA NA
## 348 SH.PRV.SMOK.FE NA NA
## 349 SH.IMM.HEPB NA NA
## 350 SH.H2O.BASW.ZS NA NA
## 351 SH.DYN.0509 NA NA
## 352 SH.ALC.PCAP.MA.LI NA NA
## 353 SE.XPD.TOTL.GD.ZS NA NA
## 354 SE.TER.ENRL.TC.ZS NA NA
## 355 SE.SEC.TCHR.FE.ZS NA NA
## 356 SE.SEC.NENR.MA NA NA
## 357 SE.SEC.CUAT.UP.ZS NA NA
## 358 SE.PRM.UNER.FE.ZS NA NA
## 359 SE.PRM.PRSL.FE.ZS NA NA
## 360 SE.PRM.GINT.FE.ZS NA NA
## 361 SE.PRE.TCAQ.MA.ZS NA NA
## 362 SE.ADT.1524.LT.MA.ZS NA NA
## 363 per_sa_allsa.cov_q1_tot NA NA
## 364 PA.NUS.PPPC.RF NA NA
## 365 NY.GNS.ICTR.CN NA NA
## 366 NY.GNP.MKTP.CD 508334414.000000000 531959561.60000002
## 367 NY.GDP.MKTP.PP.KD NA NA
## 368 NY.GDP.DEFL.ZS.AD NA NA
## 369 NY.ADJ.NNAT.GN.ZS NA NA
## 370 NY.ADJ.AEDU.GN.ZS NA NA
## 371 NV.IND.TOTL.KN NA NA
## 372 NV.AGR.TOTL.KD.ZG NA NA
## 373 NE.GDI.TOTL.ZS NA NA
## 374 NE.GDI.FPRV.CN NA NA
## 375 NE.CON.TOTL.KD NA NA
## 376 NE.CON.GOVT.KD.ZG NA NA
## 377 LP.LPI.ITRN.XQ NA NA
## 378 IS.RRS.TOTL.KM NA NA
## 379 LP.LPI.TRAC.XQ NA NA
## 380 IT.CEL.SETS.P2 0.000000000 NA
## 381 IQ.SCI.SRCE NA NA
## 382 IQ.CPA.HRES.XQ NA NA
## 383 IE.PPN.WATR.CD NA NA
## 384 IC.TAX.GIFT.ZS NA NA
## 385 IC.IMP.TMDC NA NA
## 386 IC.FRM.CORR.ZS NA NA
## 387 IC.CRD.INFO.XQ NA NA
## 388 GC.XPN.TRFT.ZS NA NA
## 389 GC.TAX.TOTL.GD.ZS NA NA
## 390 GC.REV.SOCL.CN NA NA
## 391 FX.OWN.TOTL.SO.ZS NA NA
## 392 FP.WPI.TOTL NA NA
## 393 FI.RES.TOTL.CD 19273663.600000001 24149979.65000000
## 394 ER.H2O.FWST.ZS NA NA
## 395 EN.POP.EL5M.UR.ZS NA NA
## 396 EN.ATM.PM25.MC.ZS NA NA
## 397 EN.ATM.METH.AG.ZS NA NA
## 398 EN.ATM.CO2E.GF.ZS 0.000000000 0.00000000
## 399 EG.ELC.PETR.ZS NA NA
## 400 DT.TDS.DPPG.XP.ZS NA NA
## 401 DT.ODA.OATL.CD NA NA
## 402 DT.NFL.UNAI.CD NA NA
## 403 DT.NFL.IMFN.CD NA NA
## 404 DT.DOD.DSTC.XP.ZS NA NA
## 405 DC.DAC.SWEL.CD NA NA
## 406 DC.DAC.GBRL.CD 170000.001800000 189999.99760000
## 407 CM.MKT.LDOM.NO NA NA
## 408 BX.GSR.MRCH.CD NA NA
## 409 BN.GSR.GNFS.CD NA NA
## 410 BM.GSR.GNFS.CD NA NA
## 411 AG.LND.FRST.ZS NA NA
## 412 AG.AGR.TRAC.NO NA 180.00000000
## 413 IS.AIR.GOOD.MT.K1 NA NA
## 414 IQ.CPA.REVN.XQ NA NA
## 415 IQ.CPA.BREG.XQ NA NA
## 416 IC.WRH.PROC NA NA
## 417 IC.REG.COST.PC.ZS NA NA
## 418 IC.FRM.OUTG.ZS NA NA
## 419 IC.EXP.CSBC.CD NA NA
## 420 HD.HCI.OVRL.UB NA NA
## 421 GC.XPN.INTP.CN NA NA
## 422 GC.TAX.GSRV.VA.ZS NA NA
## 423 GC.LBL.TOTL.CN NA NA
## 424 FS.AST.DOMS.GD.ZS NA NA
## 425 FM.AST.PRVT.GD.ZS 1.045701034 1.22625219
## 426 FB.AST.NPER.ZS NA NA
## 427 EP.PMP.SGAS.CD NA NA
## 428 EN.CO2.MANF.ZS NA NA
## 429 EN.ATM.NOXE.EG.ZS NA NA
## 430 EN.ATM.CO2E.SF.KT 0.000000000 0.00000000
## 431 EG.USE.COMM.CL.ZS NA NA
## 432 EG.ELC.ACCS.UR.ZS NA NA
## 433 DT.ODA.ODAT.XP.ZS NA NA
## 434 DT.NFL.UNPB.CD NA NA
## 435 DT.NFL.PCBK.CD NA NA
## 436 DT.NFL.BLAT.CD NA NA
## 437 DT.DOD.DECT.CD NA NA
## 438 DC.DAC.LUXL.CD NA NA
## 439 DC.DAC.CECL.CD NA NA
## 440 BX.PEF.TOTL.CD.WD NA NA
## 441 BX.GRT.EXTA.CD.WD 8180000.000000000 10250000.00000000
## 442 BM.KLT.DINV.CD.WD NA NA
## 443 AG.PRD.CROP.XD NA 20.35000038
## 444 AG.LND.CREL.HA NA 1715000.00000000
## 445 NE.IMP.GNFS.KN NA NA
## 446 NE.GDI.FTOT.KD.ZG NA NA
## 447 NE.DAB.TOTL.CD NA NA
## 448 NE.CON.PRVT.CN.AD NA NA
## 449 MS.MIL.MPRT.KD NA NA
## 450 IT.MLT.MAIN NA NA
## 451 IQ.SPI.OVRL NA NA
## 452 IQ.CPA.IRAI.XQ NA NA
## 453 IP.IDS.NRCT NA NA
## 454 IC.TAX.LABR.CP.ZS NA NA
## 455 IC.ISV.DURS NA NA
## 456 IC.FRM.CRIM.ZS NA NA
## 457 IC.CRD.PRVT.ZS NA NA
## 458 GF.XPD.BUDG.ZS NA NA
## 459 GC.TAX.YPKG.CN NA NA
## 460 GC.REV.SOCL.ZS NA NA
## 461 FX.OWN.TOTL.YG.ZS NA NA
## 462 FR.INR.DPST NA NA
## 463 FI.RES.TOTL.DT.ZS NA NA
## 464 ER.H2O.FWTL.K3 NA NA
## 465 EN.POP.EL5M.ZS NA NA
## 466 EN.ATM.SF6G.KT.CE NA NA
## 467 EN.ATM.METH.EG.KT.CE NA NA
## 468 EN.ATM.CO2E.KD.GD NA NA
## 469 EG.ELC.RNEW.ZS NA NA
## 470 DT.TDS.MLAT.CD NA NA
## 471 DT.ODA.OATL.KD NA NA
## 472 DT.NFL.UNCF.CD NA NA
## 473 DT.NFL.MIBR.CD NA NA
## 474 DT.DOD.DSTC.ZS NA NA
## 475 DC.DAC.TOTL.CD 8180000.002000000 10250000.00000000
## 476 DC.DAC.GRCL.CD NA NA
## 477 CM.MKT.TRAD.CD NA NA
## 478 BX.GSR.NFSV.CD NA NA
## 479 BN.GSR.MRCH.CD NA NA
## 480 BM.GSR.INSF.ZS NA NA
## 481 AG.LND.IRIG.AG.ZS NA NA
## 482 AG.CON.FERT.PT.ZS NA NA
## 483 TX.VAL.MRCH.WR.ZS NA NA
## 484 TX.VAL.ICTG.ZS.UN NA NA
## 485 TM.VAL.MRCH.R6.ZS NA NA
## 486 TM.VAL.AGRI.ZS.UN NA NA
## 487 TM.TAX.MRCH.BR.ZS NA NA
## 488 ST.INT.TRNX.CD NA NA
## 489 SP.REG.BRTH.RU.ZS NA NA
## 490 SP.POP.80UP.FE.5Y 0.083348416 0.11639433
## 491 SP.POP.5559.FE.5Y 2.944253667 2.97437051
## 492 SP.POP.1564.TO 5764396.000000000 5829233.00000000
## 493 SP.POP.0014.FE.IN 1992146.000000000 2034501.00000000
## 494 SP.DYN.IMRT.FE.IN 209.900000000 207.30000000
## 495 SM.POP.REFG NA NA
## 496 SL.UEM.INTM.FE.ZS NA NA
## 497 SL.TLF.PART.MA.ZS NA NA
## 498 SL.TLF.ADVN.ZS NA NA
## 499 SL.TLF.0714.WK.MA.TM NA NA
## 500 SL.SRV.0714.FE.ZS NA NA
## 501 SL.FAM.0714.FE.ZS NA NA
## 502 SL.EMP.SELF.FE.ZS NA NA
## 503 SI.SPR.PCAP.ZG NA NA
## 504 SI.POV.MDIM NA NA
## 505 SH.XPD.PVTD.CH.ZS NA NA
## 506 SH.UHC.SRVS.CV.XD NA NA
## 507 SH.SVR.WAST.ZS NA NA
## 508 SH.STA.SMSS.UR.ZS NA NA
## 509 SH.STA.MALN.ZS NA NA
## 510 SH.STA.AIRP.P5 NA NA
## 511 SH.MED.SAOP.P5 NA NA
## 512 SH.HIV.ARTC.ZS NA NA
## 513 SH.DYN.MORT.FE 326.200000000 322.40000000
## 514 SH.DTH.1014 NA NA
## 515 SG.VAW.1549.ZS NA NA
## 516 SE.XPD.CTER.ZS NA NA
## 517 SE.TER.CUAT.DO.FE.ZS NA NA
## 518 SE.SEC.TCAQ.LO.MA.ZS NA NA
## 519 SE.SEC.ENRL.TC.ZS NA NA
## 520 SE.SEC.CMPT.LO.ZS NA NA
## 521 SE.PRM.TCAQ.MA.ZS NA NA
## 522 SE.PRM.NINT.MA.ZS NA NA
## 523 SE.PRM.CUAT.MA.ZS NA NA
## 524 SE.ENR.PRSC.FM.ZS NA NA
## 525 per_si_allsi.cov_pop_tot NA NA
## 526 per_lm_alllm.cov_pop_tot NA NA
## 527 NY.TAX.NIND.CN 54000000.000000000 56000000.00000000
## 528 NY.GNP.MKTP.PP.KD NA NA
## 529 NY.GDP.PCAP.PP.CD NA NA
## 530 NY.GDP.FRST.RT.ZS NA NA
## 531 NY.ADJ.SVNG.CD NA NA
## 532 NY.ADJ.DMIN.CD NA NA
## 533 NV.MNF.TXTL.ZS.UN NA NA
## 534 NV.IND.MANF.CN NA NA
## 535 NE.RSB.GNFS.CD NA NA
## 536 NE.GDI.FTOT.ZS NA NA
## 537 NE.DAB.TOTL.KD NA NA
## 538 TX.VAL.TECH.CD NA NA
## 539 TX.VAL.MRCH.AL.ZS NA NA
## 540 TM.VAL.MRCH.XD.WD NA NA
## 541 TM.VAL.INSF.ZS.WT NA NA
## 542 TM.TAX.MRCH.SR.ZS NA NA
## 543 ST.INT.XPND.MP.ZS NA NA
## 544 SP.RUR.TOTL 9753404.000000000 9900616.00000000
## 545 SP.POP.DPND.OL 4.455141527 4.58106581
## 546 SP.POP.6569.FE.5Y 1.392548142 1.40329973
## 547 SP.POP.2529.FE.5Y 7.686725220 7.62891935
## 548 SP.POP.0014.TO 4083852.000000000 4170986.00000000
## 549 SP.DYN.LE00.IN 35.583000000 35.94100000
## 550 SN.ITK.DEFC.ZS NA NA
## 551 SL.UEM.NEET.MA.ZS NA NA
## 552 SL.UEM.1524.FE.NE.ZS NA NA
## 553 SL.TLF.CACT.FE.NE.ZS NA 59.61000061
## 554 SL.TLF.0714.ZS NA NA
## 555 SL.SRV.EMPL.MA.ZS NA NA
## 556 SL.FAM.WORK.MA.ZS NA NA
## 557 SL.EMP.TOTL.SP.FE.NE.ZS NA NA
## 558 SL.AGR.EMPL.FE.ZS NA NA
## 559 SI.POV.MDIM.HH NA NA
## 560 SI.DST.03RD.20 NA NA
## 561 SH.XPD.CHEX.PP.CD NA NA
## 562 SH.UHC.NOP1.CG NA NA
## 563 SH.STA.STNT.ME.ZS NA NA
## 564 SH.STA.ODFC.UR.ZS NA NA
## 565 SH.STA.BASS.UR.ZS NA NA
## 566 SH.MMR.DTHS NA NA
## 567 SH.HIV.INCD.TL.P3 NA NA
## 568 SH.DYN.NCOM.ZS NA NA
## 569 SH.DTH.IMRT 94899.000000000 94519.00000000
## 570 SG.VAW.NEGL.ZS NA NA
## 571 SE.XPD.SECO.PC.ZS NA NA
## 572 SE.TER.CUAT.MS.MA.ZS NA NA
## 573 SE.SEC.TCAQ.UP.MA.ZS NA NA
## 574 SE.SEC.ENRR NA NA
## 575 SE.SEC.CUAT.PO.FE.ZS NA NA
## 576 SE.PRM.TENR NA NA
## 577 SE.PRM.OENR.ZS NA NA
## 578 SE.PRM.ENRL.FE.ZS NA NA
## 579 SE.PRE.ENRL.TC.ZS NA NA
## 580 per_si_allsi.cov_q4_tot NA NA
## 581 per_lm_alllm.cov_q4_tot NA NA
## 582 NY.TRF.NCTR.KN NA NA
## 583 NY.GNP.PCAP.KD.ZG NA NA
## 584 NY.GDS.TOTL.CD NA NA
## 585 NY.GDP.MKTP.CN.AD NA NA
## 586 NY.EXP.CAPM.KN NA NA
## 587 NY.ADJ.DPEM.CD NA NA
## 588 NV.SRV.TOTL.KD NA NA
## 589 NV.IND.MANF.ZS NA NA
## 590 NE.TRD.GNFS.ZS NA NA
## 591 NE.GDI.TOTL.CD NA NA
## 592 NE.EXP.GNFS.CN NA NA
## 593 NE.CON.PRVT.PP.CD NA NA
## 594 MS.MIL.XPND.ZS NA NA
## 595 NE.CON.PRVT.KD.ZG NA NA
## 596 MS.MIL.TOTL.TF.ZS NA NA
## 597 IT.NET.BBND NA NA
## 598 IQ.SPI.PIL2 NA NA
## 599 IQ.CPA.PADM.XQ NA NA
## 600 IP.JRN.ARTC.SC NA NA
## 601 IC.TAX.OTHR.CP.ZS NA NA
## 602 IC.LGL.DURS NA NA
## 603 IC.FRM.FEMM.ZS NA NA
## 604 IC.CUS.DURS.EX NA NA
## 605 HD.HCI.OVRL.FE NA NA
## 606 GC.TAX.YPKG.ZS NA NA
## 607 GC.REV.XGRT.GD.ZS NA NA
## 608 GB.XPD.RSDV.GD.ZS NA NA
## 609 FR.INR.LNDP NA NA
## 610 FI.RES.XGLD.CD 17400000.000000000 22300000.00000000
## 611 ER.H2O.INTR.K3 NA NA
## 612 EN.URB.LCTY 119177.000000000 121084.00000000
## 613 EN.CLC.DRSK.XQ NA NA
## 614 EN.ATM.METH.KT.CE NA NA
## 615 EN.ATM.CO2E.LF.KT 80.674000000 80.67400000
## 616 EG.ELC.RNWX.ZS NA NA
## 617 EG.CFT.ACCS.RU.ZS NA NA
## 618 DT.ODA.ODAT.GI.ZS NA NA
## 619 DT.NFL.UNDP.CD NA NA
## 620 DT.NFL.MLAT.CD NA NA
## 621 DT.DOD.MIDA.CD NA NA
## 622 DC.ODA.TLDC.CD NA NA
## 623 DC.DAC.IRLL.CD NA NA
## 624 CM.MKT.TRNR NA NA
## 625 BX.GSR.TOTL.CD NA NA
## 626 BN.KLT.DINV.CD NA NA
## 627 BM.GSR.NFSV.CD NA NA
## 628 AG.LND.TOTL.K2 NA 143000.00000000
## 629 AG.LND.AGRI.K2 NA 35530.00000000
## 630 IE.PPI.ICTI.CD NA NA
## 631 IC.REG.DURS.FE NA NA
## 632 IC.FRM.THEV.ZS NA NA
## 633 IC.EXP.TMBC NA NA
## 634 HD.HCI.OVRL.UB.MA NA NA
## 635 GC.XPN.INTP.ZS NA NA
## 636 GC.TAX.IMPT.ZS NA NA
## 637 GC.NFN.TOTL.CN NA NA
## 638 FX.OWN.TOTL.40.ZS NA NA
## 639 FM.LBL.BMNY.CN 209600000.000000000 256300000.00000000
## 640 FB.BNK.CAPA.ZS NA NA
## 641 ER.FSH.CAPT.MT 1300.000000000 1500.00000000
## 642 EN.CO2.TRAN.ZS NA NA
## 643 EN.ATM.NOXE.ZG NA NA
## 644 EN.ATM.GHGO.KT.CE NA NA
## 645 EG.USE.COMM.GD.PP.KD NA NA
## 646 EG.ELC.COAL.ZS NA NA
## 647 DT.TDS.DECT.EX.ZS NA NA
## 648 DT.NFL.UNTA.CD NA NA
## 649 DT.NFL.PNGB.CD NA NA
## 650 DT.NFL.DPNG.CD NA NA
## 651 DT.DOD.DIMF.CD NA NA
## 652 DC.DAC.NORL.CD NA NA
## 653 DC.DAC.CZEL.CD NA NA
## 654 BX.TRF.PWKR.CD NA NA
## 655 BX.GSR.CCIS.CD NA NA
## 656 BM.TRF.PRVT.CD NA NA
## 657 AG.PRD.LVSK.XD NA 23.04000092
## 658 AG.LND.EL5M.RU.K2 NA NA
## 659 LP.LPI.LOGS.XQ NA NA
## 660 IS.SHP.GCNW.XQ NA NA
## 661 IQ.SCI.MTHD NA NA
## 662 IQ.CPA.FINS.XQ NA NA
## 663 IE.PPN.ENGY.CD NA NA
## 664 IC.REG.PROC.FE NA NA
## 665 IC.IMP.CSBC.CD NA NA
## 666 IC.FRM.BNKS.ZS NA NA
## 667 IC.BUS.EASE.XQ NA NA
## 668 GC.XPN.TOTL.CN NA NA
## 669 GC.TAX.OTHR.CN NA NA
## 670 GC.NLD.TOTL.GD.ZS NA NA
## 671 FX.OWN.TOTL.MA.ZS NA NA
## 672 FM.LBL.BMNY.ZG NA 22.28053435
## 673 FB.CBK.DPTR.P3 NA NA
## 674 ER.H2O.FWAG.ZS NA NA
## 675 EN.MAM.THRD.NO NA NA
## 676 EN.ATM.PM25.MC.T1.ZS NA NA
## 677 EN.ATM.GHGT.ZG NA NA
## 678 EG.USE.PCAP.KG.OE NA NA
## 679 EG.ELC.LOSS.ZS NA NA
## 680 DT.TDS.DPPF.XP.ZS NA NA
## 681 DT.NFL.WHOL.CD NA NA
## 682 DT.NFL.PRVT.CD NA NA
## 683 DT.NFL.IFAD.CD NA NA
## 684 DT.DOD.DPPG.CD NA NA
## 685 DC.DAC.PRTL.CD NA NA
## 686 DC.DAC.ESPL.CD NA NA
## 687 CM.MKT.INDX.ZG NA NA
## 688 BX.GSR.FCTY.CD NA NA
## 689 BN.CAB.XOKA.GD.ZS NA NA
## 690 BG.GSR.NFSV.GD.ZS NA NA
## 691 AG.LND.EL5M.UR.ZS NA NA
## 692 NE.GDI.TOTL.KD NA NA
## 693 NE.EXP.GNFS.KD.ZG NA NA
## 694 NE.CON.PRVT.ZS NA NA
## 695 NE.CON.GOVT.CD NA NA
## 696 LP.IMP.DURS.MD NA NA
## 697 IS.AIR.PSGR NA NA
## 698 IQ.CPA.SOCI.XQ NA NA
## 699 IQ.CPA.DEBT.XQ NA NA
## 700 IE.PPI.ENGY.CD NA NA
## 701 IC.REG.DURS NA NA
## 702 IC.FRM.RSDV.ZS NA NA
## 703 IC.EXP.CSDC.CD NA NA
## 704 HD.HCI.OVRL.UB.FE NA NA
## 705 GC.XPN.INTP.RV.ZS NA NA
## 706 GC.TAX.IMPT.CN NA NA
## 707 GC.LBL.TOTL.GD.ZS NA NA
## 708 FS.AST.PRVT.GD.ZS 1.045701034 1.22625219
## 709 FM.AST.PRVT.ZG.M3 NA 4.38931298
## 710 FB.ATM.TOTL.P5 NA NA
## 711 ER.FSH.AQUA.MT 0.000000000 0.00000000
## 712 EN.CO2.OTHX.ZS NA NA
## 713 EN.ATM.NOXE.KT.CE NA NA
## 714 EN.ATM.CO2E.SF.ZS 0.000000000 0.00000000
## 715 EG.USE.COMM.FO.ZS NA NA
## 716 EG.ELC.ACCS.ZS NA NA
## 717 DT.TDS.DECT.CD NA NA
## 718 DT.NFL.UNRW.CD NA NA
## 719 DT.NFL.PCBO.CD NA NA
## 720 DT.NFL.BOND.CD NA NA
## 721 DT.DOD.DECT.GN.ZS NA NA
## 722 DC.DAC.NLDL.CD NA NA
## 723 DC.DAC.CHEL.CD NA 50000.00075000
## 724 BX.TRF.CURR.CD NA NA
## 725 BX.GRT.TECH.CD.WD 440000.000000000 480000.00000000
## 726 BM.KLT.DINV.WD.GD.ZS NA NA
## 727 AG.PRD.FOOD.XD NA 20.82999992
## 728 AG.LND.CROP.ZS NA 0.17482517
## 729 VC.IHR.PSRC.MA.P5 NA NA
## 730 TX.VAL.MRCH.R6.ZS NA NA
## 731 TX.VAL.AGRI.ZS.UN NA NA
## 732 TM.VAL.MRCH.R3.ZS NA NA
## 733 TM.TAX.TCOM.WM.AR.ZS NA NA
## 734 TM.TAX.MANF.WM.AR.ZS NA NA
## 735 ST.INT.RCPT.CD NA NA
## 736 SP.POP.TOTL.MA.ZS 49.859941460 49.87660778
## 737 SP.POP.7074.MA.5Y 0.709712671 0.71531496
## 738 SP.POP.4549.MA.5Y 4.088856392 4.07109134
## 739 SP.POP.1564.FE.ZS 57.914201460 57.63246558
## 740 SP.MTR.1519.ZS NA NA
## 741 SP.DYN.CDRT.IN 27.248000000 26.85600000
## 742 SL.WAG.0714.MA.ZS NA NA
## 743 SL.UEM.BASC.FE.ZS NA NA
## 744 SL.TLF.INTM.MA.ZS NA NA
## 745 SL.TLF.ACTI.ZS NA NA
## 746 SL.TLF.0714.SW.ZS NA NA
## 747 SL.SLF.0714.FE.ZS NA NA
## 748 SL.EMP.WORK.FE.ZS NA NA
## 749 SL.EMP.MPYR.FE.ZS NA NA
## 750 SI.SPR.PC40 NA NA
## 751 SI.POV.GINI NA NA
## 752 SH.XPD.OOPC.CH.ZS NA NA
## 753 SH.UHC.OOPC.10.ZS NA NA
## 754 SH.STA.WAST.ZS NA NA
## 755 SH.STA.POIS.P5.FE NA NA
## 756 SH.STA.HYGN.ZS NA NA
## 757 SH.SGR.PROC.P5 NA NA
## 758 SH.MED.CMHW.P3 NA NA
## 759 SH.HIV.0014 NA NA
## 760 SH.DYN.AIDS.FE.ZS NA NA
## 761 SH.CON.1524.FE.ZS NA NA
## 762 SG.LAW.INDX NA NA
## 763 SE.TER.TCHR.FE.ZS NA NA
## 764 SE.TER.CUAT.BA.FE.ZS NA NA
## 765 SE.SEC.PROG.ZS NA NA
## 766 SE.SEC.ENRL.GC NA NA
## 767 SE.SEC.AGES NA NA
## 768 SE.PRM.REPT.MA.ZS NA NA
## 769 SE.PRM.NENR.FE NA NA
## 770 SE.PRM.CMPT.MA.ZS NA NA
## 771 SE.ADT.LITR.ZS NA NA
## 772 per_sa_allsa.cov_q5_tot NA NA
## 773 per_allsp.cov_pop_tot NA NA
## 774 NY.GSR.NFCY.CN 0.000000000 0.00000000
## 775 NY.GNP.MKTP.KD.ZG NA NA
## 776 NY.GDP.PCAP.KD 327.757278300 328.73511190
## 777 NY.GDP.FCST.CN 3818999800.000000000 3996999900.00000000
## 778 NY.ADJ.NNTY.PC.CD NA NA
## 779 NY.ADJ.DFOR.GN.ZS NA NA
## 780 NV.MNF.MTRN.ZS.UN NA NA
## 781 NV.FSM.TOTL.KN NA NA
## 782 NE.IMP.GNFS.KD.ZG NA NA
## 783 NE.GDI.FTOT.KD NA NA
## 784 NE.DAB.DEFL.ZS NA NA
## 785 NE.CON.PRVT.CN NA NA
## 786 IQ.SPI.PIL3 NA NA
## 787 IQ.CPA.PRES.XQ NA NA
## 788 IP.PAT.NRES NA NA
## 789 IC.TAX.PAYM NA NA
## 790 IC.PRP.DURS NA NA
## 791 IC.FRM.FEMO.ZS NA NA
## 792 IC.ELC.DURS NA NA
## 793 HD.HCI.OVRL.LB NA NA
## 794 GC.XPN.COMP.CN NA NA
## 795 GC.TAX.EXPT.CN NA NA
## 796 GC.AST.TOTL.CN NA NA
## 797 FR.INR.RINR NA NA
## 798 FM.AST.CGOV.ZG.M3 NA -3.10114504
## 799 ER.H2O.INTR.PC NA NA
## 800 EN.URB.LCTY.UR.ZS 33.890222260 33.02495063
## 801 EN.CLC.GHGR.MT.CE NA NA
## 802 EN.ATM.METH.ZG NA NA
## 803 EN.ATM.CO2E.LF.ZS 100.000000000 100.00000000
## 804 EG.FEC.RNEW.ZS NA NA
## 805 EG.CFT.ACCS.UR.ZS NA NA
## 806 DT.ODA.ODAT.GN.ZS 1.695734078 2.01707053
## 807 DT.NFL.UNEC.CD NA NA
## 808 DT.NFL.MOTH.CD NA NA
## 809 DT.DOD.MWBG.CD NA NA
## 810 DC.ODA.TLDC.GN.ZS NA NA
## 811 DC.DAC.ISLL.CD NA NA
## 812 DC.DAC.AUSL.CD NA NA
## 813 BX.GSR.TRAN.ZS NA NA
## 814 BN.KLT.PTXL.CD NA NA
## 815 BM.GSR.ROYL.CD NA NA
## 816 AG.LND.TOTL.RU.K2 NA NA
## 817 AG.LND.AGRI.ZS NA 24.84615385
## 818 IQ.SPI.PIL5 NA NA
## 819 IQ.CPA.PROT.XQ NA NA
## 820 IP.TMK.NRCT NA NA
## 821 IC.TAX.TOTL.CP.ZS NA NA
## 822 IC.REG.COST.PC.FE.ZS NA NA
## 823 IC.FRM.INFM.ZS NA NA
## 824 IC.ELC.OUTG.ZS NA NA
## 825 HD.HCI.OVRL.LB.MA NA NA
## 826 GC.XPN.GSRV.CN NA NA
## 827 GC.TAX.GSRV.CN NA NA
## 828 GC.DOD.TOTL.CN NA NA
## 829 FS.AST.CGOV.GD.ZS 0.002581978 -0.15790773
## 830 FM.AST.DOMS.CN 40600000.000000000 44500000.00000000
## 831 ER.MRN.PTMR.ZS NA NA
## 832 EN.URB.MCTY.TL.ZS 1.179379440 1.17932145
## 833 EN.CO2.BLDG.ZS NA NA
## 834 EN.ATM.NOXE.AG.ZS NA NA
## 835 EN.ATM.CO2E.PP.GD NA NA
## 836 EG.GDP.PUSE.KO.PP.KD NA NA
## 837 EG.EGY.PRIM.PP.KD NA NA
## 838 DT.ODA.ODAT.MP.ZS NA NA
## 839 DT.NFL.UNFP.CD NA NA
## 840 DT.NFL.OFFT.CD NA NA
## 841 DT.DOD.PVLX.EX.ZS NA NA
## 842 DC.ODA.TOTL.GN.ZS NA NA
## 843 DC.DAC.JPNL.CD 9999.999776000 9999.99977600
## 844 DC.DAC.BELL.CD NA NA
## 845 BX.KLT.DINV.CD.WD NA NA
## 846 BN.TRF.CURR.CD NA NA
## 847 BM.GSR.TRAN.ZS NA NA
## 848 AG.LND.TRAC.ZS NA 0.99667774
## 849 AG.LND.ARBL.HA.PC NA 0.17589893
## 850 NE.CON.GOVT.KD NA NA
## 851 LP.LPI.INFR.XQ NA NA
## 852 IS.RRS.PASG.KM NA NA
## 853 IQ.CPA.TRAD.XQ NA NA
## 854 IQ.CPA.ENVR.XQ NA NA
## 855 IE.PPI.TRAN.CD NA NA
## 856 IC.REG.DURS.MA NA NA
## 857 IC.FRM.TRNG.ZS NA NA
## 858 IC.EXP.TMDC NA NA
## 859 IC.BUS.DFRN.XQ NA NA
## 860 GC.XPN.OTHR.CN NA NA
## 861 GC.TAX.INTT.CN NA NA
## 862 GC.NFN.TOTL.GD.ZS NA NA
## 863 FX.OWN.TOTL.60.ZS NA NA
## 864 FM.LBL.BMNY.GD.ZS 5.411825598 6.32371099
## 865 FB.CBK.BRCH.P5 NA NA
## 866 ER.FSH.PROD.MT 1300.000000000 1500.00000000
## 867 EN.FSH.THRD.NO NA NA
## 868 EN.ATM.PFCG.KT.CE NA NA
## 869 EN.ATM.GHGO.ZG NA NA
## 870 EG.USE.CRNW.ZS NA NA
## 871 EG.ELC.FOSL.ZS NA NA
## 872 DT.TDS.DECT.GN.ZS NA NA
## 873 DT.NFL.UNWT.CD NA NA
## 874 DT.NFL.PNGC.CD NA NA
## 875 DT.NFL.FAOG.CD NA NA
## 876 DT.DOD.DLXF.CD NA NA
## 877 DC.DAC.NZLL.CD NA NA
## 878 DC.DAC.DEUL.CD NA NA
## 879 BX.TRF.PWKR.CD.DT NA NA
## 880 BX.GSR.CCIS.ZS NA NA
## 881 BM.TRF.PWKR.CD.DT NA NA
## 882 AG.SRF.TOTL.K2 NA 147180.00000000
## 883 AG.LND.EL5M.RU.ZS NA NA
## 884 VC.IHR.PSRC.P5 NA NA
## 885 TX.VAL.MRCH.RS.ZS NA NA
## 886 TX.VAL.FOOD.ZS.UN NA NA
## 887 TM.VAL.MRCH.R4.ZS NA NA
## 888 TM.TAX.TCOM.WM.FN.ZS NA NA
## 889 TM.TAX.MANF.WM.FN.ZS NA NA
## 890 ST.INT.RCPT.XP.ZS NA NA
## 891 SP.REG.BRTH.FE.ZS NA NA
## 892 SP.POP.7579.FE.5Y 0.442794625 0.45959242
## 893 SP.POP.5054.FE.5Y 3.786165426 3.79478534
## 894 SP.POP.1564.MA.IN 2830065.000000000 2863254.00000000
## 895 SP.POP.0004.FE.5Y 15.875435660 15.53463955
## 896 SP.DYN.CONM.ZS NA NA
## 897 SL.WAG.0714.ZS NA NA
## 898 SL.UEM.BASC.MA.ZS NA NA
## 899 SL.TLF.INTM.ZS NA NA
## 900 SL.TLF.ADVN.FE.ZS NA NA
## 901 SL.TLF.0714.WK.FE.TM NA NA
## 902 SL.SLF.0714.MA.ZS NA NA
## 903 SL.EMP.WORK.MA.ZS NA NA
## 904 SL.EMP.MPYR.MA.ZS NA NA
## 905 SI.SPR.PC40.ZG NA NA
## 906 SI.POV.LMIC NA NA
## 907 SH.XPD.OOPC.PC.CD NA NA
## 908 SH.UHC.OOPC.25.TO NA NA
## 909 SH.SVR.WAST.FE.ZS NA NA
## 910 SH.STA.POIS.P5.MA NA NA
## 911 SH.STA.MALN.FE.ZS NA NA
## 912 SH.STA.AIRP.FE.P5 NA NA
## 913 SH.MED.NUMW.P3 NA NA
## 914 SH.HIV.1524.FE.ZS NA NA
## 915 SH.DYN.AIDS.ZS NA NA
## 916 SH.CON.1524.MA.ZS NA NA
## 917 SG.TIM.UWRK.FE NA NA
## 918 SE.XPD.CPRM.ZS NA NA
## 919 SE.TER.CUAT.BA.MA.ZS NA NA
## 920 SE.SEC.TCAQ.FE.ZS NA NA
## 921 SE.SEC.ENRL.GC.FE.ZS NA NA
## 922 SE.SEC.CMPT.LO.FE.ZS NA NA
## 923 SE.PRM.REPT.ZS NA NA
## 924 SE.PRM.NENR.MA NA NA
## 925 SE.PRM.CMPT.ZS NA NA
## 926 SE.COM.DURS NA NA
## 927 per_si_allsi.adq_pop_tot NA NA
## 928 per_lm_alllm.adq_pop_tot NA NA
## 929 NY.GSR.NFCY.KN NA NA
## 930 NY.GNP.MKTP.KN NA NA
## 931 NY.GDP.PCAP.KD.ZG NA 0.29834076
## 932 NY.GDP.FCST.KD NA NA
## 933 NY.ADJ.NNTY.PC.KD NA NA
## 934 NY.ADJ.DKAP.CD NA NA
## 935 NV.MNF.OTHR.ZS.UN NA NA
## 936 NV.IND.EMPL.KD NA NA
## 937 TX.VAL.SERV.CD.WT NA NA
## 938 TX.VAL.MMTL.ZS.UN NA NA
## 939 TM.VAL.MRCH.WR.ZS NA NA
## 940 TM.VAL.ICTG.ZS.UN NA NA
## 941 TM.TAX.MRCH.SM.FN.ZS NA NA
## 942 ST.INT.XPND.CD NA NA
## 943 SP.REG.DTHS.ZS NA NA
## 944 SP.POP.DPND 75.301280480 76.13397852
## 945 SP.POP.6064.MA.5Y 1.799825618 1.82508713
## 946 SP.POP.2024.MA.5Y 8.937838514 8.93107759
## 947 SP.POP.0014.MA.ZS 41.515452300 41.72140737
## 948 SP.DYN.LE00.FE.IN 35.566000000 35.92400000
## 949 SM.POP.TOTL.ZS NA NA
## 950 SL.UEM.NEET.FE.ZS NA NA
## 951 SL.TLF.TOTL.IN NA NA
## 952 SL.TLF.BASC.ZS NA NA
## 953 SL.TLF.0714.WK.ZS NA NA
## 954 SL.SRV.EMPL.FE.ZS NA NA
## 955 SL.FAM.WORK.FE.ZS NA NA
## 956 SL.EMP.SMGT.FE.ZS NA NA
## 957 SL.AGR.0714.ZS NA NA
## 958 SI.POV.MDIM.FE NA NA
## 959 SI.DST.02ND.20 NA NA
## 960 SH.XPD.CHEX.PC.CD NA NA
## 961 SH.TBS.INCD NA NA
## 962 SH.STA.STNT.MA.ZS NA NA
## 963 SH.STA.ODFC.RU.ZS NA NA
## 964 SH.STA.BASS.RU.ZS NA NA
## 965 SH.MLR.TRET.ZS NA NA
## 966 SH.HIV.INCD.TL NA NA
## 967 SH.DYN.NCOM.MA.ZS NA NA
## 968 SH.DTH.COMM.ZS NA NA
## 969 SG.VAW.GOES.ZS NA NA
## 970 SE.XPD.PRIM.ZS NA NA
## 971 SE.TER.CUAT.MS.FE.ZS NA NA
## 972 SE.SEC.TCAQ.UP.FE.ZS NA NA
## 973 SE.SEC.ENRL.VO.FE.ZS NA NA
## 974 SE.SEC.CUAT.LO.ZS NA NA
## 975 SE.PRM.TCHR.FE.ZS NA NA
## 976 SE.PRM.OENR.MA.ZS NA NA
## 977 SE.PRM.ENRL NA NA
## 978 SE.PRE.DURS NA NA
## 979 per_si_allsi.cov_q3_tot NA NA
## 980 per_lm_alllm.cov_q3_tot NA NA
## 981 NY.TRF.NCTR.CN NA NA
## 982 NY.GNP.PCAP.KD NA NA
## 983 NY.GDP.TOTL.RT.ZS NA NA
## 984 NY.GDP.MKTP.CN 3872999900.000000000 4052999900.00000000
## 985 NY.ADJ.SVNX.GN.ZS NA NA
## 986 NY.ADJ.DNGY.GN.ZS NA NA
## 987 NV.SRV.TOTL.CN 3818999800.000000000 3996999900.00000000
## 988 NV.IND.MANF.KN NA NA
## 989 NE.RSB.GNFS.ZS NA NA
## 990 NE.GDI.STKB.KN NA NA
## 991 NE.EXP.GNFS.CD NA NA
## 992 NE.CON.PRVT.PC.KD.ZG NA NA
## 993 MS.MIL.XPND.GD.ZS NA NA
## 994 IT.NET.SECR.P6 NA NA
## 995 VC.IDP.NWDS NA NA
## 996 TX.VAL.MRCH.R3.ZS NA NA
## 997 TX.MNF.TECH.ZS.UN NA NA
## 998 TM.VAL.MRCH.OR.ZS NA NA
## 999 TM.TAX.TCOM.SM.AR.ZS NA NA
## 1000 TM.TAX.MANF.SM.AR.ZS NA NA
## 1001 SP.UWT.TFRT NA NA
## 1002 SP.POP.TOTL.FE.IN 5066683.000000000 5146299.00000000
## 1003 SP.POP.65UP.TO 256812.000000000 267041.00000000
## 1004 SP.POP.4044.FE.5Y 5.313377608 5.32740130
## 1005 SP.POP.1519.FE.5Y 9.494337814 9.33319265
## 1006 SP.HOU.FEMA.ZS NA NA
## 1007 SP.DYN.AMRT.FE 522.880000000 518.98500000
## 1008 SL.UEM.TOTL.NE.ZS NA NA
## 1009 SL.UEM.ADVN.FE.ZS NA NA
## 1010 SL.TLF.CACT.NE.ZS NA 76.37000275
## 1011 SL.TLF.ACTI.1524.ZS NA NA
## 1012 SL.TLF.0714.SW.MA.TM NA NA
## 1013 SL.MNF.0714.FE.ZS NA NA
## 1014 SL.EMP.VULN.FE.ZS NA NA
## 1015 SL.EMP.1524.SP.MA.ZS NA NA
## 1016 SI.POV.UMIC.GP NA NA
## 1017 SI.DST.FRST.20 NA NA
## 1018 SH.XPD.GHED.GE.ZS NA NA
## 1019 SH.UHC.NOP2.ZG NA NA
## 1020 SH.STA.WASH.P5 NA NA
## 1021 SH.STA.OWGH.ME.ZS NA NA
## 1022 SH.STA.FGMS.ZS NA NA
## 1023 SH.PRV.SMOK.MA NA NA
## 1024 SH.IMM.IDPT NA NA
## 1025 SH.H2O.SMDW.RU.ZS NA NA
## 1026 SH.DYN.1014 NA NA
## 1027 SH.ANM.ALLW.ZS NA NA
## 1028 SG.DMK.ALLD.FN.ZS NA NA
## 1029 SE.TER.ENRR NA NA
## 1030 SE.SEC.UNER.LO.FE.ZS NA NA
## 1031 SE.SEC.PRIV.ZS NA NA
## 1032 SE.SEC.DURS NA NA
## 1033 SE.PRM.UNER.MA NA NA
## 1034 SE.PRM.PRSL.MA.ZS NA NA
## 1035 SE.PRM.GINT.MA.ZS NA NA
## 1036 SE.PRE.TCAQ.ZS NA NA
## 1037 SE.ADT.1524.LT.ZS NA NA
## 1038 per_sa_allsa.cov_q2_tot NA NA
## 1039 PA.NUS.PRVT.PP NA NA
## 1040 NY.GNS.ICTR.GN.ZS NA NA
## 1041 NY.GNP.MKTP.CN 3872999900.000000000 4052999900.00000000
## 1042 NY.GDP.NGAS.RT.ZS NA NA
## 1043 NY.GDP.DISC.CN NA NA
## 1044 NY.ADJ.NNTY.CD NA NA
## 1045 NY.ADJ.DCO2.CD NA NA
## 1046 NV.IND.TOTL.ZS NA NA
## 1047 NV.AGR.TOTL.KN NA NA
## 1048 NE.IMP.GNFS.CD NA NA
## 1049 NE.GDI.FPRV.ZS NA NA
## 1050 NE.CON.TOTL.KD.ZG NA NA
## 1051 NE.CON.GOVT.KN NA NA
## 1052 IT.NET.USER.ZS NA NA
## 1053 IS.AIR.DPRT NA NA
## 1054 IQ.CPA.PUBS.XQ NA NA
## 1055 IP.TMK.RSCT NA NA
## 1056 IC.WRH.DURS NA NA
## 1057 IC.REG.COST.PC.MA.ZS NA NA
## 1058 IC.FRM.METG.ZS NA NA
## 1059 IC.ELC.TIME NA NA
## 1060 HD.HCI.OVRL.MA NA NA
## 1061 GC.XPN.GSRV.ZS NA NA
## 1062 GC.TAX.GSRV.RV.ZS NA NA
## 1063 GC.DOD.TOTL.GD.ZS NA NA
## 1064 FS.AST.DOMO.GD.ZS NA NA
## 1065 FM.AST.NFRG.CN 168800000.000000000 212800000.00000000
## 1066 ER.PTD.TOTL.ZS NA NA
## 1067 EP.PMP.DESL.CD NA NA
## 1068 EN.CO2.ETOT.ZS NA NA
## 1069 EN.ATM.NOXE.EG.KT.CE NA NA
## 1070 EN.ATM.CO2E.PP.GD.KD NA NA
## 1071 EG.IMP.CONS.ZS NA NA
## 1072 EG.ELC.ACCS.RU.ZS NA NA
## 1073 DT.ODA.ODAT.PC.ZS 0.853037972 1.04506943
## 1074 DT.NFL.UNID.CD NA NA
## 1075 DT.NFL.PBND.CD NA NA
## 1076 DT.DOD.PVLX.GN.ZS NA NA
## 1077 DC.ODA.TOTL.KD NA NA
## 1078 DC.DAC.KORL.CD NA NA
## 1079 DC.DAC.CANL.CD NA NA
## 1080 BX.KLT.DINV.WD.GD.ZS NA NA
## 1081 BN.TRF.KOGT.CD NA NA
## 1082 BM.GSR.TRVL.ZS NA NA
## 1083 AG.PRD.CREL.MT NA 3167000.00000000
## 1084 AG.LND.ARBL.ZS NA 12.62937063
## 1085 TX.VAL.MRCH.WL.CD NA NA
## 1086 TX.VAL.FUEL.ZS.UN NA NA
## 1087 TM.VAL.MRCH.R5.ZS NA NA
## 1088 TM.UVI.MRCH.XD.WD NA NA
## 1089 TM.TAX.MRCH.BC.ZS NA NA
## 1090 ST.INT.TRNR.CD NA NA
## 1091 SP.REG.BRTH.MA.ZS NA NA
## 1092 SP.POP.7579.MA.5Y 0.350390612 0.36557591
## 1093 SP.POP.5054.MA.5Y 3.377655146 3.36436852
## 1094 SP.POP.1564.MA.ZS 56.170171470 55.91243519
## 1095 SP.POP.0004.MA.5Y 16.578890380 16.23701098
## 1096 SP.DYN.CONU.ZS NA NA
## 1097 SM.POP.NETM NA NA
## 1098 SL.UEM.BASC.ZS NA NA
## 1099 SL.TLF.PART.FE.ZS NA NA
## 1100 SL.TLF.ADVN.MA.ZS NA NA
## 1101 SL.TLF.0714.WK.FE.ZS NA NA
## 1102 SL.SLF.0714.ZS NA NA
## 1103 SL.EMP.WORK.ZS NA NA
## 1104 SL.EMP.MPYR.ZS NA NA
## 1105 SI.SPR.PCAP NA NA
## 1106 SI.POV.LMIC.GP NA NA
## 1107 SH.XPD.OOPC.PP.CD NA NA
## 1108 SH.UHC.OOPC.25.ZS NA NA
## 1109 SH.SVR.WAST.MA.ZS NA NA
## 1110 SH.STA.SMSS.RU.ZS NA NA
## 1111 SH.STA.MALN.MA.ZS NA NA
## 1112 SH.STA.AIRP.MA.P5 NA NA
## 1113 SH.MED.PHYS.ZS 0.013000000 NA
## 1114 SH.HIV.1524.MA.ZS NA NA
## 1115 SH.DYN.MORT 325.100000000 321.20000000
## 1116 SH.DTH.0509 NA NA
## 1117 SG.TIM.UWRK.MA NA NA
## 1118 SE.XPD.CSEC.ZS NA NA
## 1119 SE.TER.CUAT.BA.ZS NA NA
## 1120 SE.SEC.TCAQ.LO.FE.ZS NA NA
## 1121 SE.SEC.ENRL.LO.TC.ZS NA NA
## 1122 SE.SEC.CMPT.LO.MA.ZS NA NA
## 1123 SE.PRM.TCAQ.FE.ZS NA NA
## 1124 SE.PRM.NINT.FE.ZS NA NA
## 1125 SE.PRM.CUAT.FE.ZS NA NA
## 1126 SE.ENR.PRIM.FM.ZS NA NA
## 1127 per_si_allsi.ben_q1_tot NA NA
## 1128 per_lm_alllm.ben_q1_tot NA NA
## 1129 NY.TAX.NIND.CD 7087544.297000000 7350045.93800000
## 1130 NY.GNP.MKTP.PP.CD NA NA
## 1131 NY.GDP.PCAP.KN 25056.702990000 25131.45734000
## 1132 NY.GDP.FCST.KN NA NA
## 1133 NY.ADJ.NNTY.PC.KD.ZG NA NA
## 1134 NY.ADJ.DKAP.GN.ZS NA NA
## 1135 NV.MNF.TECH.ZS.UN NA NA
## 1136 NV.IND.MANF.CD NA NA
## 1137 NE.IMP.GNFS.ZS NA NA
## 1138 NE.GDI.FTOT.KN NA NA
## 1139 NE.DAB.TOTL.CN NA NA
## 1140 NE.CON.PRVT.KD NA NA
## 1141 MS.MIL.TOTL.P1 NA NA
## 1142 IT.MLT.MAIN.P2 NA NA
## 1143 VC.IDP.TOCV NA NA
## 1144 TX.VAL.MRCH.R4.ZS NA NA
## 1145 TX.QTY.MRCH.XD.WD NA NA
## 1146 TM.VAL.MRCH.R1.ZS NA NA
## 1147 TM.TAX.TCOM.SM.FN.ZS NA NA
## 1148 TM.TAX.MANF.SM.FN.ZS NA NA
## 1149 ST.INT.ARVL NA NA
## 1150 SP.POP.TOTL.FE.ZS 50.140058540 50.12339222
## 1151 SP.POP.65UP.TO.ZS 2.541422358 2.60089738
## 1152 SP.POP.4044.MA.5Y 4.891178250 4.88857463
## 1153 SP.POP.1519.MA.5Y 10.163967480 10.00357160
## 1154 SP.M15.2024.FE.ZS NA NA
## 1155 SP.DYN.AMRT.MA 559.328000000 555.23900000
## 1156 SL.UEM.TOTL.ZS NA NA
## 1157 SL.UEM.ADVN.MA.ZS NA NA
## 1158 SL.TLF.CACT.ZS NA NA
## 1159 SL.TLF.ACTI.FE.ZS NA NA
## 1160 SL.TLF.0714.SW.MA.ZS NA NA
## 1161 SL.MNF.0714.MA.ZS NA NA
## 1162 SL.EMP.VULN.MA.ZS NA NA
## 1163 SL.EMP.1524.SP.NE.ZS NA NA
## 1164 SI.RMT.COST.IB.ZS NA NA
## 1165 SI.POV.DDAY NA NA
## 1166 SH.XPD.GHED.PC.CD NA NA
## 1167 SH.UHC.NOP2.ZS NA NA
## 1168 SH.STA.WAST.FE.ZS NA NA
## 1169 SH.STA.OWGH.ZS NA NA
## 1170 SH.STA.HYGN.RU.ZS NA NA
## 1171 SH.SGR.CRSK.ZS NA NA
## 1172 SH.IMM.MEAS NA NA
## 1173 SH.H2O.SMDW.UR.ZS NA NA
## 1174 SH.DYN.1519 NA NA
## 1175 SH.ANM.CHLD.ZS NA NA
## 1176 SG.DMK.SRCR.FN.ZS NA NA
## 1177 SE.TER.ENRR.FE NA NA
## 1178 SE.SEC.UNER.LO.MA.ZS NA NA
## 1179 SE.SEC.PROG.FE.ZS NA NA
## 1180 SE.SEC.ENRL NA NA
## 1181 SE.PRM.UNER.MA.ZS NA NA
## 1182 SE.PRM.PRSL.ZS NA NA
## 1183 SE.PRM.GINT.ZS NA NA
## 1184 SE.PRM.AGES NA NA
## 1185 SE.ADT.LITR.FE.ZS NA NA
## 1186 per_sa_allsa.cov_q3_tot NA NA
## 1187 per_allsp.adq_pop_tot NA NA
## 1188 NY.GNS.ICTR.ZS NA NA
## 1189 NY.GNP.MKTP.CN.AD NA NA
## 1190 NY.GDP.PCAP.CD 50.304937720 51.81124873
## 1191 NY.GDP.DISC.KN NA NA
## 1192 NY.ADJ.NNTY.KD NA NA
## 1193 NY.ADJ.DCO2.GN.ZS NA NA
## 1194 NV.MNF.CHEM.ZS.UN NA NA
## 1195 NV.AGR.TOTL.ZS NA NA
## 1196 NE.IMP.GNFS.CN NA NA
## 1197 IQ.SPI.PIL1 NA NA
## 1198 IQ.CPA.MACR.XQ NA NA
## 1199 IP.IDS.RSCT NA NA
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## 1201 IC.LGL.CRED.XQ NA NA
## 1202 IC.FRM.DURS NA NA
## 1203 IC.CRD.PUBL.ZS NA NA
## 1204 HD.HCI.OVRL NA NA
## 1205 GC.TAX.YPKG.RV.ZS NA NA
## 1206 GC.REV.XGRT.CN NA NA
## 1207 FX.OWN.TOTL.ZS NA NA
## 1208 FR.INR.LEND NA NA
## 1209 FI.RES.TOTL.MO NA NA
## 1210 ER.H2O.FWTL.ZS NA NA
## 1211 EN.POP.SLUM.UR.ZS NA NA
## 1212 EN.BIR.THRD.NO NA NA
## 1213 EN.ATM.METH.EG.ZS NA NA
## 1214 EN.ATM.CO2E.KT NA NA
## 1215 EG.ELC.RNWX.KH NA NA
## 1216 DT.TDS.MLAT.PG.ZS NA NA
## 1217 DT.ODA.ODAT.CD 8619999.886000000 10729999.54000000
## 1218 DT.NFL.UNCR.CD NA NA
## 1219 DT.NFL.MIDA.CD NA NA
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## 1222 DC.DAC.HUNL.CD NA NA
## 1223 CM.MKT.TRAD.GD.ZS NA NA
## 1224 BX.GSR.ROYL.CD NA NA
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## 1226 BM.GSR.MRCH.CD NA NA
## 1227 AG.LND.PRCP.MM NA NA
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## 1229 IT.CEL.SETS 0.000000000 NA
## 1230 IQ.SCI.PRDC NA NA
## 1231 IQ.CPA.GNDR.XQ NA NA
## 1232 IE.PPN.TRAN.CD NA NA
## 1233 IC.TAX.DURS NA NA
## 1234 IC.IMP.TMBC NA NA
## 1235 IC.FRM.CMPU.ZS NA NA
## 1236 IC.BUS.NREG NA NA
## 1237 GC.XPN.TRFT.CN NA NA
## 1238 GC.TAX.TOTL.CN NA NA
## 1239 GC.REV.GOTR.ZS NA NA
## 1240 FX.OWN.TOTL.PL.ZS NA NA
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## 1245 EN.ATM.PM25.MC.T3.ZS NA NA
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## 1260 AG.LND.FRST.K2 NA NA
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## 1265 TM.TAX.TCOM.BR.ZS NA NA
## 1266 TM.TAX.MANF.BR.ZS NA NA
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## 1268 SP.POP.TECH.RD.P6 NA NA
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## 1270 SP.POP.3539.FE.5Y 6.308841504 6.29992544
## 1271 SP.POP.1014.FE.5Y 10.080697770 10.32042639
## 1272 SP.DYN.TO65.MA.ZS 22.294774800 22.67218840
## 1273 SN.ITK.VITA.ZS NA NA
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## 1282 SI.POV.NAHC NA NA
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## 1288 SH.STA.BRTW.ZS NA NA
## 1289 SH.PRV.SMOK NA NA
## 1290 SH.HIV.PMTC.ZS NA NA
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## 1209 7.458683432 12.479785100 6.7524087
## 1210 NA NA NA
## 1211 NA NA NA
## 1212 NA NA NA
## 1213 NA NA NA
## 1214 13449.999810000 NA NA
## 1215 NA NA NA
## 1216 81.689941000 86.895366080 NA
## 1217 1332630005.000000000 1758400024.000000000 NA
## 1218 3235234.499000000 2340597.153000000 NA
## 1219 415129000.000000000 458685000.000000000 NA
## 1220 NA NA NA
## 1221 150690002.400000006 133179992.700000003 NA
## 1222 9999.999776000 9999.999776000 NA
## 1223 NA NA NA
## 1224 NA NA NA
## 1225 954234347.700000048 451762672.600000024 430301856.6000000
## 1226 12118399368.000000000 9597003836.000000000 15416771545.0000000
## 1227 NA NA NA
## 1228 NA NA NA
## 1229 38696000.000000000 38213000.000000000 NA
## 1230 93.333300000 86.666700000 NA
## 1231 3.500000000 3.500000000 3.5000000
## 1232 NA NA NA
## 1233 377.000000000 NA NA
## 1234 11.000000000 NA NA
## 1235 NA NA NA
## 1236 18085.000000000 25859.000000000 NA
## 1237 678000000000.000000000 603000000000.000000000 NA
## 1238 764000000000.000000000 613000000000.000000000 NA
## 1239 14.498150580 21.642405520 NA
## 1240 NA NA 51.0000000
## 1241 5.568685478 5.052366553 4.0879105
## 1242 7.970932028 8.975850073 5.2481746
## 1243 NA NA NA
## 1244 NA NA NA
## 1245 NA NA NA
## 1246 20010.000000000 NA NA
## 1247 NA NA NA
## 1248 NA NA NA
## 1249 0.711141384 0.756196569 NA
## 1250 1381459961.000000000 NA NA
## 1251 NA NA NA
## 1252 NA NA NA
## 1253 4.623485780 3.143584837 NA
## 1254 NA NA NA
## 1255 509999.990500000 1570000.052000000 NA
## 1256 NA NA NA
## 1257 0.962380788 0.899117822 1.5190559
## 1258 519418581.399999976 174664881.000000000 239286220.8000000
## 1259 181982040.699999988 332488213.300000012 211451840.3000000
## 1260 59620.300000000 59620.300000000 NA
## 1261 NA NA NA
## 1262 5.330214023 3.404079640 NA
## 1263 41.594849190 24.500032020 26.4267908
## 1264 12340000000.000000000 9856000000.000000000 18623000000.0000000
## 1265 32.880000000 32.880000000 NA
## 1266 24.120000000 24.120000000 NA
## 1267 5765514.000000000 5995190.000000000 6234107.0000000
## 1268 NA NA NA
## 1269 752921.000000000 771244.000000000 797536.0000000
## 1270 7.028137302 7.092016384 7.1929080
## 1271 9.522944767 9.229063691 8.9856969
## 1272 72.413588600 72.901989400 NA
## 1273 NA NA NA
## 1274 NA NA NA
## 1275 NA NA NA
## 1276 NA NA NA
## 1277 72.002998350 65.389999390 67.7839966
## 1278 NA NA NA
## 1279 23.309999470 NA NA
## 1280 NA NA NA
## 1281 74.179000850 64.136001590 67.2409973
## 1282 NA NA NA
## 1283 NA NA NA
## 1284 24.809253690 NA NA
## 1285 NA NA NA
## 1286 9.000000000 NA NA
## 1287 2.300000000 NA NA
## 1288 NA NA NA
## 1289 31.500000000 30.400000000 NA
## 1290 53.000000000 40.000000000 NA
## 1291 89.720886700 89.577633160 NA
## 1292 9870.000000000 9473.000000000 NA
## 1293 NA NA NA
## 1294 15.760000230 13.189999580 NA
## 1295 NA NA NA
## 1296 29815.000000000 31315.000000000 NA
## 1297 62.818480000 NA NA
## 1298 NA NA NA
## 1299 NA NA NA
## 1300 NA NA NA
## 1301 140.825683600 127.600143400 NA
## 1302 88.535087590 87.321403500 NA
## 1303 NA NA NA
## 1304 NA NA NA
## 1305 32.742748230 33.393741220 33.8286877
## 1306 14422302151.000000000 10972849576.000000000 11838809074.0000000
## 1307 35197860011.000000000 34585916524.000000000 36590881233.0000000
## 1308 118000000000.000000000 116000000000.000000000 126000000000.0000000
## 1309 164.929691400 170.236143200 179.6195108
## 1310 12170000000.000000000 8944000000.000000000 NA
## 1311 988200000.000000000 974300000.000000000 NA
## 1312 7.379299502 -4.023454985 4.5077431
## 1313 7325040615.000000000 7503160542.000000000 7716850839.0000000
## 1314 1090000000000.000000000 796000000000.000000000 1040000000000.0000000
## 1315 7.779936474 6.805289826 5.2092304
## 1316 3270000000000.000000000 3670000000000.000000000 3950000000000.0000000
## 1317 NA NA NA
## 1318 67.801285280 71.410067800 NA
## 1319 97.313743240 111.593571300 NA
## 1320 0.820029600 0.860520395 NA
## 1321 1.369142000 1.472031000 NA
## 1322 0.000000000 0.000000000 NA
## 1323 NA NA NA
## 1324 13046953.000000000 13348435.000000000 13676606.0000000
## 1325 1.663699779 1.672743607 1.6834211
## 1326 5.085876522 5.232166734 5.3590897
## 1327 10464154.000000000 10712951.000000000 10926589.0000000
## 1328 32.800000000 NA NA
## 1329 19.578000000 19.256000000 NA
## 1330 NA NA NA
## 1331 NA NA NA
## 1332 NA NA NA
## 1333 86.110000000 NA NA
## 1334 NA NA NA
## 1335 NA NA NA
## 1336 76.310001370 NA NA
## 1337 70.737998960 61.816001890 63.9860001
## 1338 NA NA NA
## 1339 NA NA NA
## 1340 43.901225280 NA NA
## 1341 NA NA NA
## 1342 13.500000000 NA NA
## 1343 1.700000000 NA NA
## 1344 75.197823600 75.229484750 NA
## 1345 62.200000000 60.300000000 NA
## 1346 NA NA NA
## 1347 19.178306750 17.575659990 NA
## 1348 6.000000000 5.900000000 NA
## 1349 35.400000000 NA NA
## 1350 32.727272730 32.727272730 32.7272727
## 1351 12.942179680 13.150980000 NA
## 1352 NA NA NA
## 1353 NA NA NA
## 1354 51.430630000 NA NA
## 1355 NA NA NA
## 1356 7.337480000 NA NA
## 1357 96.298400000 NA NA
## 1358 123.213020300 NA NA
## 1359 NA NA NA
## 1360 NA NA NA
## 1361 NA NA NA
## 1362 353611034.000000000 396362221.100000024 197555506.8000000
## 1363 30944697068.000000000 30243926168.000000000 31336431195.0000000
## 1364 134886.533800000 133463.612400000 144138.6152000
## 1365 29610972525.000000000 29477215821.000000000 31072803545.0000000
## 1366 7.965237521 -5.535365799 NA
## 1367 150700000.000000000 172400000.000000000 NA
## 1368 44.888749460 NA NA
## 1369 NA NA NA
## 1370 14796312028.000000000 11711563524.000000000 13623186173.0000000
## 1371 1300000000000.000000000 1180000000000.000000000 1280000000000.0000000
## 1372 84.696592710 94.280642530 92.2919377
## 1373 26179613280.000000000 28489803716.000000000 30443686215.0000000
## 1374 NA NA NA
## 1375 38.458333330 NA NA
## 1376 3.000000000 3.000000000 3.0000000
## 1377 NA NA NA
## 1378 15.000000000 NA NA
## 1379 4.000000000 NA NA
## 1380 NA NA NA
## 1381 NA NA NA
## 1382 NA NA NA
## 1383 11.933206200 15.027405840 NA
## 1384 0.031086925 0.018319488 NA
## 1385 -0.864102849 3.152060198 NA
## 1386 NA NA NA
## 1387 13.206239320 11.863493470 NA
## 1388 23.626040000 23.626040000 23.6260414
## 1389 1376108.000000000 1423515.000000000 1471867.0000000
## 1390 NA NA NA
## 1391 5990.000000000 NA NA
## 1392 0.470136453 NA NA
## 1393 NA NA NA
## 1394 33.600000000 34.800000000 NA
## 1395 1368939941.000000000 1758400024.000000000 NA
## 1396 NA NA NA
## 1397 19117682.000000000 -2635025.000000000 NA
## 1398 NA 6300000000.000000000 NA
## 1399 NA NA NA
## 1400 1559999.943000000 839999.973800000 NA
## 1401 2069999.933000000 1120000.005000000 NA
## 1402 43.646992460 22.365709830 15.5201277
## 1403 346250023.199999988 2720202607.000000000 -2364230722.0000000
## 1404 14018290934.000000000 11026919977.000000000 17168947461.0000000
## 1405 NA NA NA
## 1406 NA NA NA
## 1407 11560103452.000000000 10186978797.000000000 10832916152.0000000
## 1408 1960000000000.000000000 2040000000000.000000000 2110000000000.0000000
## 1409 8.117095211 9.067732071 8.3992194
## 1410 NA NA NA
## 1411 NA NA NA
## 1412 74.444433330 72.222233330 NA
## 1413 3.000000000 3.000000000 3.0000000
## 1414 NA NA NA
## 1415 8.000000000 NA NA
## 1416 80.000000000 NA NA
## 1417 NA NA NA
## 1418 0.977848131 1.357824050 NA
## 1419 21.701865280 20.164782930 NA
## 1420 0.944350687 0.845612140 NA
## 1421 130000000000.000000000 169000000000.000000000 NA
## 1422 NA NA 59.0200000
## 1423 188.729977200 198.265307400 206.3702156
## 1424 78.845345330 88.340280580 NA
## 1425 NA NA NA
## 1426 199.572479900 203.256421300 207.0102546
## 1427 NA NA NA
## 1428 NA NA NA
## 1429 NA NA NA
## 1430 NA NA NA
## 1431 245626826.199999988 255821546.800000012 NA
## 1432 1332630005.000000000 1758400024.000000000 NA
## 1433 203725000.000000000 397878000.000000000 NA
## 1434 2112819.910000000 1919476.032000000 NA
## 1435 402852000.000000000 360500000.000000000 NA
## 1436 39999.999110000 NA NA
## 1437 14739999.770000000 20600000.379999999 NA
## 1438 NA NA NA
## 1439 2726226422.000000000 1771333672.000000000 2495039242.0000000
## 1440 -657260867.299999952 483065992.800000012 -4830800229.0000000
## 1441 18.608391450 19.332058140 14.1869110
## 1442 NA NA NAmeta_country## Country.Code Region IncomeGroup
## 1 NPL South Asia Lower middle income
## SpecialNotes
## 1 The reporting period for national accounts data is designated as either calendar year basis (CY) or fiscal year basis (FY). For this country, it is fiscal year-based (fiscal year-end: July 14). Also, an estimate (PA.NUS.ATLS) of the exchange rate covers the same period and thus differs from the official exchange rate (CY).
## TableName X
## 1 Nepal NAmeta_indictr## INDICATOR_CODE
## 1 TX.VAL.TECH.MF.ZS
## 2 TX.VAL.MRCH.CD.WT
## 3 TM.VAL.OTHR.ZS.WT
## 4 TM.VAL.MANF.ZS.UN
## 5 TM.TAX.MRCH.WM.AR.ZS
## 6 TG.VAL.TOTL.GD.ZS
## 7 SP.RUR.TOTL.ZG
## 8 SP.POP.DPND.YG
## 9 SP.POP.6569.MA.5Y
## 10 SP.POP.2529.MA.5Y
## 11 SP.POP.0014.TO.ZS
## 12 SP.DYN.LE00.MA.IN
## 13 SN.ITK.MSFI.ZS
## 14 SL.UEM.NEET.ZS
## 15 SL.UEM.1524.FE.ZS
## 16 SL.TLF.CACT.FE.ZS
## 17 SL.TLF.ACTI.1524.FE.NE.ZS
## 18 SL.SRV.EMPL.ZS
## 19 SL.FAM.WORK.ZS
## 20 SL.EMP.TOTL.SP.FE.ZS
## 21 SL.AGR.EMPL.MA.ZS
## 22 SI.POV.MDIM.IT
## 23 SI.DST.04TH.20
## 24 SH.XPD.EHEX.CH.ZS
## 25 SH.UHC.NOP1.TO
## 26 SH.STA.STNT.ZS
## 27 SH.STA.ODFC.ZS
## 28 SH.STA.BASS.ZS
## 29 SH.MMR.RISK
## 30 SH.HIV.INCD.YG
## 31 SH.DYN.NMRT
## 32 SH.DTH.INJR.ZS
## 33 SG.VAW.REAS.ZS
## 34 SE.XPD.SECO.ZS
## 35 SE.TER.CUAT.MS.ZS
## 36 SE.SEC.TCAQ.UP.ZS
## 37 SE.SEC.ENRR.FE
## 38 SE.SEC.CUAT.PO.MA.ZS
## 39 SE.PRM.TENR.FE
## 40 SE.PRM.PRIV.ZS
## 41 SE.PRM.ENRL.TC.ZS
## 42 SE.PRE.ENRR
## 43 per_si_allsi.cov_q5_tot
## 44 per_lm_alllm.cov_q5_tot
## 45 NY.TTF.GNFS.KN
## 46 NY.GNP.PCAP.KN
## 47 NY.GDS.TOTL.CN
## 48 NY.GDP.MKTP.KD
## 49 NY.GDP.COAL.RT.ZS
## 50 NY.ADJ.DPEM.GN.ZS
## 51 NV.SRV.TOTL.KD.ZG
## 52 NV.IND.TOTL.CD
## 53 NV.AGR.EMPL.KD
## 54 NE.GDI.TOTL.CN
## 55 NE.EXP.GNFS.KD
## 56 NE.CON.PRVT.PP.KD
## 57 MS.MIL.XPRT.KD
## 58 LP.EXP.DURS.MD
## 59 TX.VAL.MRCH.XD.WD
## 60 TX.VAL.INSF.ZS.WT
## 61 TM.VAL.MRCH.RS.ZS
## 62 TM.VAL.FOOD.ZS.UN
## 63 TM.TAX.MRCH.IP.ZS
## 64 ST.INT.TVLR.CD
## 65 SP.REG.BRTH.UR.ZS
## 66 SP.POP.80UP.MA.5Y
## 67 SP.POP.5559.MA.5Y
## 68 SP.POP.1564.TO.ZS
## 69 SP.POP.0014.FE.ZS
## 70 SP.DYN.IMRT.IN
## 71 SM.POP.REFG.OR
## 72 SL.UEM.INTM.MA.ZS
## 73 SL.TLF.PART.ZS
## 74 SL.TLF.BASC.FE.ZS
## 75 SL.TLF.0714.WK.MA.ZS
## 76 SL.SRV.0714.MA.ZS
## 77 SL.FAM.0714.MA.ZS
## 78 SL.EMP.SELF.MA.ZS
## 79 SL.AGR.0714.FE.ZS
## 80 SI.POV.MDIM.17
## 81 SH.XPD.PVTD.PC.CD
## 82 SH.VAC.TTNS.ZS
## 83 SH.TBS.CURE.ZS
## 84 SH.STA.SMSS.ZS
## 85 SH.STA.MMRT
## 86 SH.STA.ANVC.ZS
## 87 SH.MLR.INCD.P3
## 88 SH.HIV.INCD
## 89 SH.DYN.MORT.MA
## 90 SH.DTH.1519
## 91 SG.VAW.ARGU.ZS
## 92 SE.XPD.CTOT.ZS
## 93 SE.TER.CUAT.DO.MA.ZS
## 94 SE.SEC.TCAQ.LO.ZS
## 95 SE.SEC.ENRL.UP.TC.ZS
## 96 SE.SEC.CUAT.LO.FE.ZS
## 97 SE.PRM.TCAQ.ZS
## 98 SE.PRM.NINT.ZS
## 99 SE.PRM.CUAT.ZS
## 100 SE.ENR.SECO.FM.ZS
## 101 per_si_allsi.cov_q1_tot
## 102 per_lm_alllm.cov_q1_tot
## 103 NY.TAX.NIND.KN
## 104 NY.GNP.PCAP.CD
## 105 NY.GDP.PCAP.PP.KD
## 106 NY.GDP.MINR.RT.ZS
## 107 NY.ADJ.SVNG.GN.ZS
## 108 NY.ADJ.DMIN.GN.ZS
## 109 NV.SRV.EMPL.KD
## 110 NV.IND.MANF.KD
## 111 NE.RSB.GNFS.CN
## 112 NE.GDI.STKB.CD
## 113 NE.DAB.TOTL.KN
## 114 NE.CON.PRVT.KN
## 115 MS.MIL.XPND.CD
## 116 IT.NET.BBND.P2
## 117 TX.VAL.TRVL.ZS.WT
## 118 TX.VAL.MRCH.OR.ZS
## 119 TM.VAL.TRAN.ZS.WT
## 120 TM.VAL.MRCH.AL.ZS
## 121 TM.TAX.TCOM.BC.ZS
## 122 TM.TAX.MANF.BC.ZS
## 123 SP.URB.GROW
## 124 SP.POP.SCIE.RD.P6
## 125 SP.POP.65UP.FE.ZS
## 126 SP.POP.3034.MA.5Y
## 127 SP.POP.0509.MA.5Y
## 128 SP.DYN.TO65.FE.ZS
## 129 SN.ITK.SVFI.ZS
## 130 SL.UEM.TOTL.FE.ZS
## 131 SL.UEM.1524.MA.ZS
## 132 SL.TLF.CACT.FM.ZS
## 133 SL.TLF.ACTI.1524.MA.NE.ZS
## 134 SL.TLF.0714.MA.ZS
## 135 SL.IND.EMPL.FE.ZS
## 136 SL.EMP.TOTL.SP.MA.ZS
## 137 SL.EMP.1524.SP.FE.NE.ZS
## 138 SI.POV.MDIM.XQ
## 139 SI.DST.10TH.10
## 140 SH.XPD.EHEX.PP.CD
## 141 SH.UHC.NOP1.ZS
## 142 SH.STA.SUIC.MA.P5
## 143 SH.STA.ORTH
## 144 SH.STA.BRTC.ZS
## 145 SH.PRG.ANEM
## 146 SH.HIV.INCD.ZS
## 147 SH.H2O.BASW.RU.ZS
## 148 SH.DTH.NCOM.ZS
## 149 SH.ALC.PCAP.FE.LI
## 150 SE.XPD.TERT.ZS
## 151 SE.TER.CUAT.ST.MA.ZS
## 152 SE.SEC.TCHR
## 153 SE.SEC.NENR
## 154 SE.SEC.CUAT.UP.FE.ZS
## 155 SE.PRM.UNER
## 156 SE.PRM.PRS5.MA.ZS
## 157 SE.PRM.ENRR.FE
## 158 SE.PRE.ENRR.MA
## 159 SE.ADT.1524.LT.FE.ZS
## 160 per_sa_allsa.ben_q1_tot
## 161 PA.NUS.FCRF
## 162 NY.GNP.PCAP.PP.KD
## 163 NY.GDY.TOTL.KN
## 164 NY.GDP.MKTP.KN
## 165 NY.GDP.DEFL.KD.ZG.AD
## 166 NY.ADJ.ICTR.GN.ZS
## 167 NV.SRV.TOTL.ZS
## 168 NV.IND.TOTL.KD
## 169 NV.AGR.TOTL.CN
## 170 NE.GDI.TOTL.KD.ZG
## 171 NE.EXP.GNFS.KN
## 172 NE.CON.TOTL.CD
## 173 NE.CON.GOVT.CN
## 174 LP.LPI.CUST.XQ
## 175 IS.RRS.GOOD.MT.K6
## 176 IQ.CPA.STRC.XQ
## 177 IQ.CPA.ECON.XQ
## 178 IQ.CPA.TRAN.XQ
## 179 IQ.CPA.FINQ.XQ
## 180 IE.PPI.WATR.CD
## 181 IC.REG.PROC
## 182 IC.GOV.DURS.ZS
## 183 IC.FRM.BKWC.ZS
## 184 IC.BUS.DISC.XQ
## 185 GC.XPN.OTHR.ZS
## 186 GC.TAX.INTT.RV.ZS
## 187 GC.NLD.TOTL.CN
## 188 FX.OWN.TOTL.FE.ZS
## 189 FM.LBL.BMNY.IR.ZS
## 190 FB.CBK.BRWR.P3
## 191 ER.GDP.FWTL.M3.KD
## 192 EN.HPT.THRD.NO
## 193 EN.ATM.PM25.MC.M3
## 194 EN.ATM.GHGT.KT.CE
## 195 EG.USE.ELEC.KH.PC
## 196 EG.ELC.HYRO.ZS
## 197 DT.TDS.DIMF.CD
## 198 DT.NFL.WFPG.CD
## 199 DT.NFL.PROP.CD
## 200 DT.NFL.IAEA.CD
## 201 DT.DOD.DPNG.CD
## 202 DC.DAC.POLL.CD
## 203 DC.DAC.DNKL.CD
## 204 BX.TRF.PWKR.DT.GD.ZS
## 205 BX.GSR.CMCP.ZS
## 206 BN.CAB.XOKA.CD
## 207 AG.YLD.CREL.KG
## 208 AG.LND.EL5M.UR.K2
## 209 TX.VAL.TRAN.ZS.WT
## 210 TX.VAL.MRCH.HI.ZS
## 211 TM.VAL.SERV.CD.WT
## 212 TM.VAL.MMTL.ZS.UN
## 213 TM.TAX.MRCH.WM.FN.ZS
## 214 TM.QTY.MRCH.XD.WD
## 215 SP.RUR.TOTL.ZS
## 216 SP.POP.GROW
## 217 SP.POP.65UP.FE.IN
## 218 SP.POP.3034.FE.5Y
## 219 SP.POP.0509.FE.5Y
## 220 SP.DYN.TFRT.IN
## 221 SN.ITK.SALT.ZS
## 222 SL.UEM.TOTL.FE.NE.ZS
## 223 SL.UEM.1524.MA.NE.ZS
## 224 SL.TLF.CACT.FM.NE.ZS
## 225 SL.TLF.ACTI.1524.FE.ZS
## 226 SL.TLF.0714.FE.ZS
## 227 SL.GDP.PCAP.EM.KD
## 228 SL.EMP.TOTL.SP.MA.NE.ZS
## 229 SL.AGR.EMPL.ZS
## 230 SI.POV.MDIM.MA
## 231 SI.DST.05TH.20
## 232 SH.XPD.EHEX.PC.CD
## 233 SH.UHC.NOP1.ZG
## 234 SH.STA.SUIC.FE.P5
## 235 SH.STA.ORCF.ZS
## 236 SH.STA.BFED.ZS
## 237 SH.MMR.RISK.ZS
## 238 SH.HIV.INCD.YG.P3
## 239 SH.FPL.SATM.ZS
## 240 SH.DTH.MORT
## 241 SG.VAW.REFU.ZS
## 242 SE.XPD.TERT.PC.ZS
## 243 SE.TER.CUAT.ST.FE.ZS
## 244 SE.SEC.TCAQ.ZS
## 245 SE.SEC.ENRR.MA
## 246 SE.SEC.CUAT.PO.ZS
## 247 SE.PRM.TENR.MA
## 248 SE.PRM.PRS5.FE.ZS
## 249 SE.PRM.ENRR
## 250 SE.PRE.ENRR.FE
## 251 PX.REX.REER
## 252 per_sa_allsa.adq_pop_tot
## 253 PA.NUS.ATLS
## 254 NY.GNP.PCAP.PP.CD
## 255 NY.GDS.TOTL.ZS
## 256 NY.GDP.MKTP.KD.ZG
## 257 NY.GDP.DEFL.KD.ZG
## 258 NY.ADJ.DRES.GN.ZS
## 259 NV.SRV.TOTL.KN
## 260 NV.IND.TOTL.CN
## 261 NV.AGR.TOTL.CD
## 262 TX.VAL.OTHR.ZS.WT
## 263 TX.VAL.MANF.ZS.UN
## 264 TM.VAL.MRCH.WL.CD
## 265 TM.VAL.FUEL.ZS.UN
## 266 TM.TAX.MRCH.SM.AR.ZS
## 267 ST.INT.TVLX.CD
## 268 SP.REG.BRTH.ZS
## 269 SP.POP.BRTH.MF
## 270 SP.POP.6064.FE.5Y
## 271 SP.POP.2024.FE.5Y
## 272 SP.POP.0014.MA.IN
## 273 SP.DYN.IMRT.MA.IN
## 274 SM.POP.TOTL
## 275 SL.UEM.INTM.ZS
## 276 SL.TLF.TOTL.FE.ZS
## 277 SL.TLF.BASC.MA.ZS
## 278 SL.TLF.0714.WK.TM
## 279 SL.SRV.0714.ZS
## 280 SL.FAM.0714.ZS
## 281 SL.EMP.SELF.ZS
## 282 SL.AGR.0714.MA.ZS
## 283 SI.POV.MDIM.17.XQ
## 284 SH.XPD.PVTD.PP.CD
## 285 SH.XPD.CHEX.GD.ZS
## 286 SH.TBS.DTEC.ZS
## 287 SH.STA.STNT.FE.ZS
## 288 SH.STA.MMRT.NE
## 289 SH.STA.ARIC.ZS
## 290 SH.MLR.NETS.ZS
## 291 SH.HIV.INCD.14
## 292 SH.DYN.NCOM.FE.ZS
## 293 SH.DTH.2024
## 294 SG.VAW.BURN.ZS
## 295 SE.XPD.PRIM.PC.ZS
## 296 SE.TER.CUAT.DO.ZS
## 297 SE.SEC.TCAQ.MA.ZS
## 298 SE.SEC.ENRL.VO
## 299 SE.SEC.CUAT.LO.MA.ZS
## 300 SE.PRM.TCHR
## 301 SE.PRM.OENR.FE.ZS
## 302 SE.PRM.DURS
## 303 SE.ENR.TERT.FM.ZS
## 304 per_si_allsi.cov_q2_tot
## 305 per_lm_alllm.cov_q2_tot
## 306 NY.TRF.NCTR.CD
## 307 NY.GNP.PCAP.CN
## 308 NY.GDP.PETR.RT.ZS
## 309 NY.GDP.MKTP.CD
## 310 NY.ADJ.SVNX.CD
## 311 NY.ADJ.DNGY.CD
## 312 NV.SRV.TOTL.CD
## 313 NV.IND.MANF.KD.ZG
## 314 NE.RSB.GNFS.KN
## 315 NE.GDI.STKB.CN
## 316 NE.DAB.TOTL.ZS
## 317 NE.CON.PRVT.PC.KD
## 318 MS.MIL.XPND.CN
## 319 IT.NET.SECR
## 320 VC.IDP.NWCV
## 321 TX.VAL.MRCH.R2.ZS
## 322 TT.PRI.MRCH.XD.WD
## 323 TM.VAL.MRCH.HI.ZS
## 324 TM.TAX.TCOM.IP.ZS
## 325 TM.TAX.MANF.IP.ZS
## 326 SP.URB.TOTL.IN.ZS
## 327 SP.POP.TOTL
## 328 SP.POP.65UP.MA.ZS
## 329 SP.POP.3539.MA.5Y
## 330 SP.POP.1014.MA.5Y
## 331 SP.DYN.WFRT
## 332 SP.ADO.TFRT
## 333 SL.UEM.TOTL.MA.ZS
## 334 SL.UEM.1524.ZS
## 335 SL.TLF.CACT.MA.ZS
## 336 SL.TLF.ACTI.1524.NE.ZS
## 337 SL.TLF.0714.SW.FE.ZS
## 338 SL.IND.EMPL.ZS
## 339 SL.EMP.TOTL.SP.ZS
## 340 SL.EMP.1524.SP.MA.NE.ZS
## 341 SI.POV.UMIC
## 342 SI.DST.FRST.10
## 343 SH.XPD.GHED.GD.ZS
## 344 SH.UHC.NOP2.TO
## 345 SH.STA.TRAF.P5
## 346 SH.STA.OWGH.MA.ZS
## 347 SH.STA.DIAB.ZS
## 348 SH.PRV.SMOK.FE
## 349 SH.IMM.HEPB
## 350 SH.H2O.BASW.ZS
## 351 SH.DYN.0509
## 352 SH.ALC.PCAP.MA.LI
## 353 SE.XPD.TOTL.GD.ZS
## 354 SE.TER.ENRL.TC.ZS
## 355 SE.SEC.TCHR.FE.ZS
## 356 SE.SEC.NENR.MA
## 357 SE.SEC.CUAT.UP.ZS
## 358 SE.PRM.UNER.FE.ZS
## 359 SE.PRM.PRSL.FE.ZS
## 360 SE.PRM.GINT.FE.ZS
## 361 SE.PRE.TCAQ.MA.ZS
## 362 SE.ADT.1524.LT.MA.ZS
## 363 per_sa_allsa.cov_q1_tot
## 364 PA.NUS.PPPC.RF
## 365 NY.GNS.ICTR.CN
## 366 NY.GNP.MKTP.CD
## 367 NY.GDP.MKTP.PP.KD
## 368 NY.GDP.DEFL.ZS.AD
## 369 NY.ADJ.NNAT.GN.ZS
## 370 NY.ADJ.AEDU.GN.ZS
## 371 NV.IND.TOTL.KN
## 372 NV.AGR.TOTL.KD.ZG
## 373 NE.GDI.TOTL.ZS
## 374 NE.GDI.FPRV.CN
## 375 NE.CON.TOTL.KD
## 376 NE.CON.GOVT.KD.ZG
## 377 LP.LPI.ITRN.XQ
## 378 IS.RRS.TOTL.KM
## 379 LP.LPI.TRAC.XQ
## 380 IT.CEL.SETS.P2
## 381 IQ.SCI.SRCE
## 382 IQ.CPA.HRES.XQ
## 383 IE.PPN.WATR.CD
## 384 IC.TAX.GIFT.ZS
## 385 IC.IMP.TMDC
## 386 IC.FRM.CORR.ZS
## 387 IC.CRD.INFO.XQ
## 388 GC.XPN.TRFT.ZS
## 389 GC.TAX.TOTL.GD.ZS
## 390 GC.REV.SOCL.CN
## 391 FX.OWN.TOTL.SO.ZS
## 392 FP.WPI.TOTL
## 393 FI.RES.TOTL.CD
## 394 ER.H2O.FWST.ZS
## 395 EN.POP.EL5M.UR.ZS
## 396 EN.ATM.PM25.MC.ZS
## 397 EN.ATM.METH.AG.ZS
## 398 EN.ATM.CO2E.GF.ZS
## 399 EG.ELC.PETR.ZS
## 400 DT.TDS.DPPG.XP.ZS
## 401 DT.ODA.OATL.CD
## 402 DT.NFL.UNAI.CD
## 403 DT.NFL.IMFN.CD
## 404 DT.DOD.DSTC.XP.ZS
## 405 DC.DAC.SWEL.CD
## 406 DC.DAC.GBRL.CD
## 407 CM.MKT.LDOM.NO
## 408 BX.GSR.MRCH.CD
## 409 BN.GSR.GNFS.CD
## 410 BM.GSR.GNFS.CD
## 411 AG.LND.FRST.ZS
## 412 AG.AGR.TRAC.NO
## 413 IS.AIR.GOOD.MT.K1
## 414 IQ.CPA.REVN.XQ
## 415 IQ.CPA.BREG.XQ
## 416 IC.WRH.PROC
## 417 IC.REG.COST.PC.ZS
## 418 IC.FRM.OUTG.ZS
## 419 IC.EXP.CSBC.CD
## 420 HD.HCI.OVRL.UB
## 421 GC.XPN.INTP.CN
## 422 GC.TAX.GSRV.VA.ZS
## 423 GC.LBL.TOTL.CN
## 424 FS.AST.DOMS.GD.ZS
## 425 FM.AST.PRVT.GD.ZS
## 426 FB.AST.NPER.ZS
## 427 EP.PMP.SGAS.CD
## 428 EN.CO2.MANF.ZS
## 429 EN.ATM.NOXE.EG.ZS
## 430 EN.ATM.CO2E.SF.KT
## 431 EG.USE.COMM.CL.ZS
## 432 EG.ELC.ACCS.UR.ZS
## 433 DT.ODA.ODAT.XP.ZS
## 434 DT.NFL.UNPB.CD
## 435 DT.NFL.PCBK.CD
## 436 DT.NFL.BLAT.CD
## 437 DT.DOD.DECT.CD
## 438 DC.DAC.LUXL.CD
## 439 DC.DAC.CECL.CD
## 440 BX.PEF.TOTL.CD.WD
## 441 BX.GRT.EXTA.CD.WD
## 442 BM.KLT.DINV.CD.WD
## 443 AG.PRD.CROP.XD
## 444 AG.LND.CREL.HA
## 445 NE.IMP.GNFS.KN
## 446 NE.GDI.FTOT.KD.ZG
## 447 NE.DAB.TOTL.CD
## 448 NE.CON.PRVT.CN.AD
## 449 MS.MIL.MPRT.KD
## 450 IT.MLT.MAIN
## 451 IQ.SPI.OVRL
## 452 IQ.CPA.IRAI.XQ
## 453 IP.IDS.NRCT
## 454 IC.TAX.LABR.CP.ZS
## 455 IC.ISV.DURS
## 456 IC.FRM.CRIM.ZS
## 457 IC.CRD.PRVT.ZS
## 458 GF.XPD.BUDG.ZS
## 459 GC.TAX.YPKG.CN
## 460 GC.REV.SOCL.ZS
## 461 FX.OWN.TOTL.YG.ZS
## 462 FR.INR.DPST
## 463 FI.RES.TOTL.DT.ZS
## 464 ER.H2O.FWTL.K3
## 465 EN.POP.EL5M.ZS
## 466 EN.ATM.SF6G.KT.CE
## 467 EN.ATM.METH.EG.KT.CE
## 468 EN.ATM.CO2E.KD.GD
## 469 EG.ELC.RNEW.ZS
## 470 DT.TDS.MLAT.CD
## 471 DT.ODA.OATL.KD
## 472 DT.NFL.UNCF.CD
## 473 DT.NFL.MIBR.CD
## 474 DT.DOD.DSTC.ZS
## 475 DC.DAC.TOTL.CD
## 476 DC.DAC.GRCL.CD
## 477 CM.MKT.TRAD.CD
## 478 BX.GSR.NFSV.CD
## 479 BN.GSR.MRCH.CD
## 480 BM.GSR.INSF.ZS
## 481 AG.LND.IRIG.AG.ZS
## 482 AG.CON.FERT.PT.ZS
## 483 TX.VAL.MRCH.WR.ZS
## 484 TX.VAL.ICTG.ZS.UN
## 485 TM.VAL.MRCH.R6.ZS
## 486 TM.VAL.AGRI.ZS.UN
## 487 TM.TAX.MRCH.BR.ZS
## 488 ST.INT.TRNX.CD
## 489 SP.REG.BRTH.RU.ZS
## 490 SP.POP.80UP.FE.5Y
## 491 SP.POP.5559.FE.5Y
## 492 SP.POP.1564.TO
## 493 SP.POP.0014.FE.IN
## 494 SP.DYN.IMRT.FE.IN
## 495 SM.POP.REFG
## 496 SL.UEM.INTM.FE.ZS
## 497 SL.TLF.PART.MA.ZS
## 498 SL.TLF.ADVN.ZS
## 499 SL.TLF.0714.WK.MA.TM
## 500 SL.SRV.0714.FE.ZS
## 501 SL.FAM.0714.FE.ZS
## 502 SL.EMP.SELF.FE.ZS
## 503 SI.SPR.PCAP.ZG
## 504 SI.POV.MDIM
## 505 SH.XPD.PVTD.CH.ZS
## 506 SH.UHC.SRVS.CV.XD
## 507 SH.SVR.WAST.ZS
## 508 SH.STA.SMSS.UR.ZS
## 509 SH.STA.MALN.ZS
## 510 SH.STA.AIRP.P5
## 511 SH.MED.SAOP.P5
## 512 SH.HIV.ARTC.ZS
## 513 SH.DYN.MORT.FE
## 514 SH.DTH.1014
## 515 SG.VAW.1549.ZS
## 516 SE.XPD.CTER.ZS
## 517 SE.TER.CUAT.DO.FE.ZS
## 518 SE.SEC.TCAQ.LO.MA.ZS
## 519 SE.SEC.ENRL.TC.ZS
## 520 SE.SEC.CMPT.LO.ZS
## 521 SE.PRM.TCAQ.MA.ZS
## 522 SE.PRM.NINT.MA.ZS
## 523 SE.PRM.CUAT.MA.ZS
## 524 SE.ENR.PRSC.FM.ZS
## 525 per_si_allsi.cov_pop_tot
## 526 per_lm_alllm.cov_pop_tot
## 527 NY.TAX.NIND.CN
## 528 NY.GNP.MKTP.PP.KD
## 529 NY.GDP.PCAP.PP.CD
## 530 NY.GDP.FRST.RT.ZS
## 531 NY.ADJ.SVNG.CD
## 532 NY.ADJ.DMIN.CD
## 533 NV.MNF.TXTL.ZS.UN
## 534 NV.IND.MANF.CN
## 535 NE.RSB.GNFS.CD
## 536 NE.GDI.FTOT.ZS
## 537 NE.DAB.TOTL.KD
## 538 TX.VAL.TECH.CD
## 539 TX.VAL.MRCH.AL.ZS
## 540 TM.VAL.MRCH.XD.WD
## 541 TM.VAL.INSF.ZS.WT
## 542 TM.TAX.MRCH.SR.ZS
## 543 ST.INT.XPND.MP.ZS
## 544 SP.RUR.TOTL
## 545 SP.POP.DPND.OL
## 546 SP.POP.6569.FE.5Y
## 547 SP.POP.2529.FE.5Y
## 548 SP.POP.0014.TO
## 549 SP.DYN.LE00.IN
## 550 SN.ITK.DEFC.ZS
## 551 SL.UEM.NEET.MA.ZS
## 552 SL.UEM.1524.FE.NE.ZS
## 553 SL.TLF.CACT.FE.NE.ZS
## 554 SL.TLF.0714.ZS
## 555 SL.SRV.EMPL.MA.ZS
## 556 SL.FAM.WORK.MA.ZS
## 557 SL.EMP.TOTL.SP.FE.NE.ZS
## 558 SL.AGR.EMPL.FE.ZS
## 559 SI.POV.MDIM.HH
## 560 SI.DST.03RD.20
## 561 SH.XPD.CHEX.PP.CD
## 562 SH.UHC.NOP1.CG
## 563 SH.STA.STNT.ME.ZS
## 564 SH.STA.ODFC.UR.ZS
## 565 SH.STA.BASS.UR.ZS
## 566 SH.MMR.DTHS
## 567 SH.HIV.INCD.TL.P3
## 568 SH.DYN.NCOM.ZS
## 569 SH.DTH.IMRT
## 570 SG.VAW.NEGL.ZS
## 571 SE.XPD.SECO.PC.ZS
## 572 SE.TER.CUAT.MS.MA.ZS
## 573 SE.SEC.TCAQ.UP.MA.ZS
## 574 SE.SEC.ENRR
## 575 SE.SEC.CUAT.PO.FE.ZS
## 576 SE.PRM.TENR
## 577 SE.PRM.OENR.ZS
## 578 SE.PRM.ENRL.FE.ZS
## 579 SE.PRE.ENRL.TC.ZS
## 580 per_si_allsi.cov_q4_tot
## 581 per_lm_alllm.cov_q4_tot
## 582 NY.TRF.NCTR.KN
## 583 NY.GNP.PCAP.KD.ZG
## 584 NY.GDS.TOTL.CD
## 585 NY.GDP.MKTP.CN.AD
## 586 NY.EXP.CAPM.KN
## 587 NY.ADJ.DPEM.CD
## 588 NV.SRV.TOTL.KD
## 589 NV.IND.MANF.ZS
## 590 NE.TRD.GNFS.ZS
## 591 NE.GDI.TOTL.CD
## 592 NE.EXP.GNFS.CN
## 593 NE.CON.PRVT.PP.CD
## 594 MS.MIL.XPND.ZS
## 595 NE.CON.PRVT.KD.ZG
## 596 MS.MIL.TOTL.TF.ZS
## 597 IT.NET.BBND
## 598 IQ.SPI.PIL2
## 599 IQ.CPA.PADM.XQ
## 600 IP.JRN.ARTC.SC
## 601 IC.TAX.OTHR.CP.ZS
## 602 IC.LGL.DURS
## 603 IC.FRM.FEMM.ZS
## 604 IC.CUS.DURS.EX
## 605 HD.HCI.OVRL.FE
## 606 GC.TAX.YPKG.ZS
## 607 GC.REV.XGRT.GD.ZS
## 608 GB.XPD.RSDV.GD.ZS
## 609 FR.INR.LNDP
## 610 FI.RES.XGLD.CD
## 611 ER.H2O.INTR.K3
## 612 EN.URB.LCTY
## 613 EN.CLC.DRSK.XQ
## 614 EN.ATM.METH.KT.CE
## 615 EN.ATM.CO2E.LF.KT
## 616 EG.ELC.RNWX.ZS
## 617 EG.CFT.ACCS.RU.ZS
## 618 DT.ODA.ODAT.GI.ZS
## 619 DT.NFL.UNDP.CD
## 620 DT.NFL.MLAT.CD
## 621 DT.DOD.MIDA.CD
## 622 DC.ODA.TLDC.CD
## 623 DC.DAC.IRLL.CD
## 624 CM.MKT.TRNR
## 625 BX.GSR.TOTL.CD
## 626 BN.KLT.DINV.CD
## 627 BM.GSR.NFSV.CD
## 628 AG.LND.TOTL.K2
## 629 AG.LND.AGRI.K2
## 630 IE.PPI.ICTI.CD
## 631 IC.REG.DURS.FE
## 632 IC.FRM.THEV.ZS
## 633 IC.EXP.TMBC
## 634 HD.HCI.OVRL.UB.MA
## 635 GC.XPN.INTP.ZS
## 636 GC.TAX.IMPT.ZS
## 637 GC.NFN.TOTL.CN
## 638 FX.OWN.TOTL.40.ZS
## 639 FM.LBL.BMNY.CN
## 640 FB.BNK.CAPA.ZS
## 641 ER.FSH.CAPT.MT
## 642 EN.CO2.TRAN.ZS
## 643 EN.ATM.NOXE.ZG
## 644 EN.ATM.GHGO.KT.CE
## 645 EG.USE.COMM.GD.PP.KD
## 646 EG.ELC.COAL.ZS
## 647 DT.TDS.DECT.EX.ZS
## 648 DT.NFL.UNTA.CD
## 649 DT.NFL.PNGB.CD
## 650 DT.NFL.DPNG.CD
## 651 DT.DOD.DIMF.CD
## 652 DC.DAC.NORL.CD
## 653 DC.DAC.CZEL.CD
## 654 BX.TRF.PWKR.CD
## 655 BX.GSR.CCIS.CD
## 656 BM.TRF.PRVT.CD
## 657 AG.PRD.LVSK.XD
## 658 AG.LND.EL5M.RU.K2
## 659 LP.LPI.LOGS.XQ
## 660 IS.SHP.GCNW.XQ
## 661 IQ.SCI.MTHD
## 662 IQ.CPA.FINS.XQ
## 663 IE.PPN.ENGY.CD
## 664 IC.REG.PROC.FE
## 665 IC.IMP.CSBC.CD
## 666 IC.FRM.BNKS.ZS
## 667 IC.BUS.EASE.XQ
## 668 GC.XPN.TOTL.CN
## 669 GC.TAX.OTHR.CN
## 670 GC.NLD.TOTL.GD.ZS
## 671 FX.OWN.TOTL.MA.ZS
## 672 FM.LBL.BMNY.ZG
## 673 FB.CBK.DPTR.P3
## 674 ER.H2O.FWAG.ZS
## 675 EN.MAM.THRD.NO
## 676 EN.ATM.PM25.MC.T1.ZS
## 677 EN.ATM.GHGT.ZG
## 678 EG.USE.PCAP.KG.OE
## 679 EG.ELC.LOSS.ZS
## 680 DT.TDS.DPPF.XP.ZS
## 681 DT.NFL.WHOL.CD
## 682 DT.NFL.PRVT.CD
## 683 DT.NFL.IFAD.CD
## 684 DT.DOD.DPPG.CD
## 685 DC.DAC.PRTL.CD
## 686 DC.DAC.ESPL.CD
## 687 CM.MKT.INDX.ZG
## 688 BX.GSR.FCTY.CD
## 689 BN.CAB.XOKA.GD.ZS
## 690 BG.GSR.NFSV.GD.ZS
## 691 AG.LND.EL5M.UR.ZS
## 692 NE.GDI.TOTL.KD
## 693 NE.EXP.GNFS.KD.ZG
## 694 NE.CON.PRVT.ZS
## 695 NE.CON.GOVT.CD
## 696 LP.IMP.DURS.MD
## 697 IS.AIR.PSGR
## 698 IQ.CPA.SOCI.XQ
## 699 IQ.CPA.DEBT.XQ
## 700 IE.PPI.ENGY.CD
## 701 IC.REG.DURS
## 702 IC.FRM.RSDV.ZS
## 703 IC.EXP.CSDC.CD
## 704 HD.HCI.OVRL.UB.FE
## 705 GC.XPN.INTP.RV.ZS
## 706 GC.TAX.IMPT.CN
## 707 GC.LBL.TOTL.GD.ZS
## 708 FS.AST.PRVT.GD.ZS
## 709 FM.AST.PRVT.ZG.M3
## 710 FB.ATM.TOTL.P5
## 711 ER.FSH.AQUA.MT
## 712 EN.CO2.OTHX.ZS
## 713 EN.ATM.NOXE.KT.CE
## 714 EN.ATM.CO2E.SF.ZS
## 715 EG.USE.COMM.FO.ZS
## 716 EG.ELC.ACCS.ZS
## 717 DT.TDS.DECT.CD
## 718 DT.NFL.UNRW.CD
## 719 DT.NFL.PCBO.CD
## 720 DT.NFL.BOND.CD
## 721 DT.DOD.DECT.GN.ZS
## 722 DC.DAC.NLDL.CD
## 723 DC.DAC.CHEL.CD
## 724 BX.TRF.CURR.CD
## 725 BX.GRT.TECH.CD.WD
## 726 BM.KLT.DINV.WD.GD.ZS
## 727 AG.PRD.FOOD.XD
## 728 AG.LND.CROP.ZS
## 729 VC.IHR.PSRC.MA.P5
## 730 TX.VAL.MRCH.R6.ZS
## 731 TX.VAL.AGRI.ZS.UN
## 732 TM.VAL.MRCH.R3.ZS
## 733 TM.TAX.TCOM.WM.AR.ZS
## 734 TM.TAX.MANF.WM.AR.ZS
## 735 ST.INT.RCPT.CD
## 736 SP.POP.TOTL.MA.ZS
## 737 SP.POP.7074.MA.5Y
## 738 SP.POP.4549.MA.5Y
## 739 SP.POP.1564.FE.ZS
## 740 SP.MTR.1519.ZS
## 741 SP.DYN.CDRT.IN
## 742 SL.WAG.0714.MA.ZS
## 743 SL.UEM.BASC.FE.ZS
## 744 SL.TLF.INTM.MA.ZS
## 745 SL.TLF.ACTI.ZS
## 746 SL.TLF.0714.SW.ZS
## 747 SL.SLF.0714.FE.ZS
## 748 SL.EMP.WORK.FE.ZS
## 749 SL.EMP.MPYR.FE.ZS
## 750 SI.SPR.PC40
## 751 SI.POV.GINI
## 752 SH.XPD.OOPC.CH.ZS
## 753 SH.UHC.OOPC.10.ZS
## 754 SH.STA.WAST.ZS
## 755 SH.STA.POIS.P5.FE
## 756 SH.STA.HYGN.ZS
## 757 SH.SGR.PROC.P5
## 758 SH.MED.CMHW.P3
## 759 SH.HIV.0014
## 760 SH.DYN.AIDS.FE.ZS
## 761 SH.CON.1524.FE.ZS
## 762 SG.LAW.INDX
## 763 SE.TER.TCHR.FE.ZS
## 764 SE.TER.CUAT.BA.FE.ZS
## 765 SE.SEC.PROG.ZS
## 766 SE.SEC.ENRL.GC
## 767 SE.SEC.AGES
## 768 SE.PRM.REPT.MA.ZS
## 769 SE.PRM.NENR.FE
## 770 SE.PRM.CMPT.MA.ZS
## 771 SE.ADT.LITR.ZS
## 772 per_sa_allsa.cov_q5_tot
## 773 per_allsp.cov_pop_tot
## 774 NY.GSR.NFCY.CN
## 775 NY.GNP.MKTP.KD.ZG
## 776 NY.GDP.PCAP.KD
## 777 NY.GDP.FCST.CN
## 778 NY.ADJ.NNTY.PC.CD
## 779 NY.ADJ.DFOR.GN.ZS
## 780 NV.MNF.MTRN.ZS.UN
## 781 NV.FSM.TOTL.KN
## 782 NE.IMP.GNFS.KD.ZG
## 783 NE.GDI.FTOT.KD
## 784 NE.DAB.DEFL.ZS
## 785 NE.CON.PRVT.CN
## 786 IQ.SPI.PIL3
## 787 IQ.CPA.PRES.XQ
## 788 IP.PAT.NRES
## 789 IC.TAX.PAYM
## 790 IC.PRP.DURS
## 791 IC.FRM.FEMO.ZS
## 792 IC.ELC.DURS
## 793 HD.HCI.OVRL.LB
## 794 GC.XPN.COMP.CN
## 795 GC.TAX.EXPT.CN
## 796 GC.AST.TOTL.CN
## 797 FR.INR.RINR
## 798 FM.AST.CGOV.ZG.M3
## 799 ER.H2O.INTR.PC
## 800 EN.URB.LCTY.UR.ZS
## 801 EN.CLC.GHGR.MT.CE
## 802 EN.ATM.METH.ZG
## 803 EN.ATM.CO2E.LF.ZS
## 804 EG.FEC.RNEW.ZS
## 805 EG.CFT.ACCS.UR.ZS
## 806 DT.ODA.ODAT.GN.ZS
## 807 DT.NFL.UNEC.CD
## 808 DT.NFL.MOTH.CD
## 809 DT.DOD.MWBG.CD
## 810 DC.ODA.TLDC.GN.ZS
## 811 DC.DAC.ISLL.CD
## 812 DC.DAC.AUSL.CD
## 813 BX.GSR.TRAN.ZS
## 814 BN.KLT.PTXL.CD
## 815 BM.GSR.ROYL.CD
## 816 AG.LND.TOTL.RU.K2
## 817 AG.LND.AGRI.ZS
## 818 IQ.SPI.PIL5
## 819 IQ.CPA.PROT.XQ
## 820 IP.TMK.NRCT
## 821 IC.TAX.TOTL.CP.ZS
## 822 IC.REG.COST.PC.FE.ZS
## 823 IC.FRM.INFM.ZS
## 824 IC.ELC.OUTG.ZS
## 825 HD.HCI.OVRL.LB.MA
## 826 GC.XPN.GSRV.CN
## 827 GC.TAX.GSRV.CN
## 828 GC.DOD.TOTL.CN
## 829 FS.AST.CGOV.GD.ZS
## 830 FM.AST.DOMS.CN
## 831 ER.MRN.PTMR.ZS
## 832 EN.URB.MCTY.TL.ZS
## 833 EN.CO2.BLDG.ZS
## 834 EN.ATM.NOXE.AG.ZS
## 835 EN.ATM.CO2E.PP.GD
## 836 EG.GDP.PUSE.KO.PP.KD
## 837 EG.EGY.PRIM.PP.KD
## 838 DT.ODA.ODAT.MP.ZS
## 839 DT.NFL.UNFP.CD
## 840 DT.NFL.OFFT.CD
## 841 DT.DOD.PVLX.EX.ZS
## 842 DC.ODA.TOTL.GN.ZS
## 843 DC.DAC.JPNL.CD
## 844 DC.DAC.BELL.CD
## 845 BX.KLT.DINV.CD.WD
## 846 BN.TRF.CURR.CD
## 847 BM.GSR.TRAN.ZS
## 848 AG.LND.TRAC.ZS
## 849 AG.LND.ARBL.HA.PC
## 850 NE.CON.GOVT.KD
## 851 LP.LPI.INFR.XQ
## 852 IS.RRS.PASG.KM
## 853 IQ.CPA.TRAD.XQ
## 854 IQ.CPA.ENVR.XQ
## 855 IE.PPI.TRAN.CD
## 856 IC.REG.DURS.MA
## 857 IC.FRM.TRNG.ZS
## 858 IC.EXP.TMDC
## 859 IC.BUS.DFRN.XQ
## 860 GC.XPN.OTHR.CN
## 861 GC.TAX.INTT.CN
## 862 GC.NFN.TOTL.GD.ZS
## 863 FX.OWN.TOTL.60.ZS
## 864 FM.LBL.BMNY.GD.ZS
## 865 FB.CBK.BRCH.P5
## 866 ER.FSH.PROD.MT
## 867 EN.FSH.THRD.NO
## 868 EN.ATM.PFCG.KT.CE
## 869 EN.ATM.GHGO.ZG
## 870 EG.USE.CRNW.ZS
## 871 EG.ELC.FOSL.ZS
## 872 DT.TDS.DECT.GN.ZS
## 873 DT.NFL.UNWT.CD
## 874 DT.NFL.PNGC.CD
## 875 DT.NFL.FAOG.CD
## 876 DT.DOD.DLXF.CD
## 877 DC.DAC.NZLL.CD
## 878 DC.DAC.DEUL.CD
## 879 BX.TRF.PWKR.CD.DT
## 880 BX.GSR.CCIS.ZS
## 881 BM.TRF.PWKR.CD.DT
## 882 AG.SRF.TOTL.K2
## 883 AG.LND.EL5M.RU.ZS
## 884 VC.IHR.PSRC.P5
## 885 TX.VAL.MRCH.RS.ZS
## 886 TX.VAL.FOOD.ZS.UN
## 887 TM.VAL.MRCH.R4.ZS
## 888 TM.TAX.TCOM.WM.FN.ZS
## 889 TM.TAX.MANF.WM.FN.ZS
## 890 ST.INT.RCPT.XP.ZS
## 891 SP.REG.BRTH.FE.ZS
## 892 SP.POP.7579.FE.5Y
## 893 SP.POP.5054.FE.5Y
## 894 SP.POP.1564.MA.IN
## 895 SP.POP.0004.FE.5Y
## 896 SP.DYN.CONM.ZS
## 897 SL.WAG.0714.ZS
## 898 SL.UEM.BASC.MA.ZS
## 899 SL.TLF.INTM.ZS
## 900 SL.TLF.ADVN.FE.ZS
## 901 SL.TLF.0714.WK.FE.TM
## 902 SL.SLF.0714.MA.ZS
## 903 SL.EMP.WORK.MA.ZS
## 904 SL.EMP.MPYR.MA.ZS
## 905 SI.SPR.PC40.ZG
## 906 SI.POV.LMIC
## 907 SH.XPD.OOPC.PC.CD
## 908 SH.UHC.OOPC.25.TO
## 909 SH.SVR.WAST.FE.ZS
## 910 SH.STA.POIS.P5.MA
## 911 SH.STA.MALN.FE.ZS
## 912 SH.STA.AIRP.FE.P5
## 913 SH.MED.NUMW.P3
## 914 SH.HIV.1524.FE.ZS
## 915 SH.DYN.AIDS.ZS
## 916 SH.CON.1524.MA.ZS
## 917 SG.TIM.UWRK.FE
## 918 SE.XPD.CPRM.ZS
## 919 SE.TER.CUAT.BA.MA.ZS
## 920 SE.SEC.TCAQ.FE.ZS
## 921 SE.SEC.ENRL.GC.FE.ZS
## 922 SE.SEC.CMPT.LO.FE.ZS
## 923 SE.PRM.REPT.ZS
## 924 SE.PRM.NENR.MA
## 925 SE.PRM.CMPT.ZS
## 926 SE.COM.DURS
## 927 per_si_allsi.adq_pop_tot
## 928 per_lm_alllm.adq_pop_tot
## 929 NY.GSR.NFCY.KN
## 930 NY.GNP.MKTP.KN
## 931 NY.GDP.PCAP.KD.ZG
## 932 NY.GDP.FCST.KD
## 933 NY.ADJ.NNTY.PC.KD
## 934 NY.ADJ.DKAP.CD
## 935 NV.MNF.OTHR.ZS.UN
## 936 NV.IND.EMPL.KD
## 937 TX.VAL.SERV.CD.WT
## 938 TX.VAL.MMTL.ZS.UN
## 939 TM.VAL.MRCH.WR.ZS
## 940 TM.VAL.ICTG.ZS.UN
## 941 TM.TAX.MRCH.SM.FN.ZS
## 942 ST.INT.XPND.CD
## 943 SP.REG.DTHS.ZS
## 944 SP.POP.DPND
## 945 SP.POP.6064.MA.5Y
## 946 SP.POP.2024.MA.5Y
## 947 SP.POP.0014.MA.ZS
## 948 SP.DYN.LE00.FE.IN
## 949 SM.POP.TOTL.ZS
## 950 SL.UEM.NEET.FE.ZS
## 951 SL.TLF.TOTL.IN
## 952 SL.TLF.BASC.ZS
## 953 SL.TLF.0714.WK.ZS
## 954 SL.SRV.EMPL.FE.ZS
## 955 SL.FAM.WORK.FE.ZS
## 956 SL.EMP.SMGT.FE.ZS
## 957 SL.AGR.0714.ZS
## 958 SI.POV.MDIM.FE
## 959 SI.DST.02ND.20
## 960 SH.XPD.CHEX.PC.CD
## 961 SH.TBS.INCD
## 962 SH.STA.STNT.MA.ZS
## 963 SH.STA.ODFC.RU.ZS
## 964 SH.STA.BASS.RU.ZS
## 965 SH.MLR.TRET.ZS
## 966 SH.HIV.INCD.TL
## 967 SH.DYN.NCOM.MA.ZS
## 968 SH.DTH.COMM.ZS
## 969 SG.VAW.GOES.ZS
## 970 SE.XPD.PRIM.ZS
## 971 SE.TER.CUAT.MS.FE.ZS
## 972 SE.SEC.TCAQ.UP.FE.ZS
## 973 SE.SEC.ENRL.VO.FE.ZS
## 974 SE.SEC.CUAT.LO.ZS
## 975 SE.PRM.TCHR.FE.ZS
## 976 SE.PRM.OENR.MA.ZS
## 977 SE.PRM.ENRL
## 978 SE.PRE.DURS
## 979 per_si_allsi.cov_q3_tot
## 980 per_lm_alllm.cov_q3_tot
## 981 NY.TRF.NCTR.CN
## 982 NY.GNP.PCAP.KD
## 983 NY.GDP.TOTL.RT.ZS
## 984 NY.GDP.MKTP.CN
## 985 NY.ADJ.SVNX.GN.ZS
## 986 NY.ADJ.DNGY.GN.ZS
## 987 NV.SRV.TOTL.CN
## 988 NV.IND.MANF.KN
## 989 NE.RSB.GNFS.ZS
## 990 NE.GDI.STKB.KN
## 991 NE.EXP.GNFS.CD
## 992 NE.CON.PRVT.PC.KD.ZG
## 993 MS.MIL.XPND.GD.ZS
## 994 IT.NET.SECR.P6
## 995 VC.IDP.NWDS
## 996 TX.VAL.MRCH.R3.ZS
## 997 TX.MNF.TECH.ZS.UN
## 998 TM.VAL.MRCH.OR.ZS
## 999 TM.TAX.TCOM.SM.AR.ZS
## 1000 TM.TAX.MANF.SM.AR.ZS
## 1001 SP.UWT.TFRT
## 1002 SP.POP.TOTL.FE.IN
## 1003 SP.POP.65UP.TO
## 1004 SP.POP.4044.FE.5Y
## 1005 SP.POP.1519.FE.5Y
## 1006 SP.HOU.FEMA.ZS
## 1007 SP.DYN.AMRT.FE
## 1008 SL.UEM.TOTL.NE.ZS
## 1009 SL.UEM.ADVN.FE.ZS
## 1010 SL.TLF.CACT.NE.ZS
## 1011 SL.TLF.ACTI.1524.ZS
## 1012 SL.TLF.0714.SW.MA.TM
## 1013 SL.MNF.0714.FE.ZS
## 1014 SL.EMP.VULN.FE.ZS
## 1015 SL.EMP.1524.SP.MA.ZS
## 1016 SI.POV.UMIC.GP
## 1017 SI.DST.FRST.20
## 1018 SH.XPD.GHED.GE.ZS
## 1019 SH.UHC.NOP2.ZG
## 1020 SH.STA.WASH.P5
## 1021 SH.STA.OWGH.ME.ZS
## 1022 SH.STA.FGMS.ZS
## 1023 SH.PRV.SMOK.MA
## 1024 SH.IMM.IDPT
## 1025 SH.H2O.SMDW.RU.ZS
## 1026 SH.DYN.1014
## 1027 SH.ANM.ALLW.ZS
## 1028 SG.DMK.ALLD.FN.ZS
## 1029 SE.TER.ENRR
## 1030 SE.SEC.UNER.LO.FE.ZS
## 1031 SE.SEC.PRIV.ZS
## 1032 SE.SEC.DURS
## 1033 SE.PRM.UNER.MA
## 1034 SE.PRM.PRSL.MA.ZS
## 1035 SE.PRM.GINT.MA.ZS
## 1036 SE.PRE.TCAQ.ZS
## 1037 SE.ADT.1524.LT.ZS
## 1038 per_sa_allsa.cov_q2_tot
## 1039 PA.NUS.PRVT.PP
## 1040 NY.GNS.ICTR.GN.ZS
## 1041 NY.GNP.MKTP.CN
## 1042 NY.GDP.NGAS.RT.ZS
## 1043 NY.GDP.DISC.CN
## 1044 NY.ADJ.NNTY.CD
## 1045 NY.ADJ.DCO2.CD
## 1046 NV.IND.TOTL.ZS
## 1047 NV.AGR.TOTL.KN
## 1048 NE.IMP.GNFS.CD
## 1049 NE.GDI.FPRV.ZS
## 1050 NE.CON.TOTL.KD.ZG
## 1051 NE.CON.GOVT.KN
## 1052 IT.NET.USER.ZS
## 1053 IS.AIR.DPRT
## 1054 IQ.CPA.PUBS.XQ
## 1055 IP.TMK.RSCT
## 1056 IC.WRH.DURS
## 1057 IC.REG.COST.PC.MA.ZS
## 1058 IC.FRM.METG.ZS
## 1059 IC.ELC.TIME
## 1060 HD.HCI.OVRL.MA
## 1061 GC.XPN.GSRV.ZS
## 1062 GC.TAX.GSRV.RV.ZS
## 1063 GC.DOD.TOTL.GD.ZS
## 1064 FS.AST.DOMO.GD.ZS
## 1065 FM.AST.NFRG.CN
## 1066 ER.PTD.TOTL.ZS
## 1067 EP.PMP.DESL.CD
## 1068 EN.CO2.ETOT.ZS
## 1069 EN.ATM.NOXE.EG.KT.CE
## 1070 EN.ATM.CO2E.PP.GD.KD
## 1071 EG.IMP.CONS.ZS
## 1072 EG.ELC.ACCS.RU.ZS
## 1073 DT.ODA.ODAT.PC.ZS
## 1074 DT.NFL.UNID.CD
## 1075 DT.NFL.PBND.CD
## 1076 DT.DOD.PVLX.GN.ZS
## 1077 DC.ODA.TOTL.KD
## 1078 DC.DAC.KORL.CD
## 1079 DC.DAC.CANL.CD
## 1080 BX.KLT.DINV.WD.GD.ZS
## 1081 BN.TRF.KOGT.CD
## 1082 BM.GSR.TRVL.ZS
## 1083 AG.PRD.CREL.MT
## 1084 AG.LND.ARBL.ZS
## 1085 TX.VAL.MRCH.WL.CD
## 1086 TX.VAL.FUEL.ZS.UN
## 1087 TM.VAL.MRCH.R5.ZS
## 1088 TM.UVI.MRCH.XD.WD
## 1089 TM.TAX.MRCH.BC.ZS
## 1090 ST.INT.TRNR.CD
## 1091 SP.REG.BRTH.MA.ZS
## 1092 SP.POP.7579.MA.5Y
## 1093 SP.POP.5054.MA.5Y
## 1094 SP.POP.1564.MA.ZS
## 1095 SP.POP.0004.MA.5Y
## 1096 SP.DYN.CONU.ZS
## 1097 SM.POP.NETM
## 1098 SL.UEM.BASC.ZS
## 1099 SL.TLF.PART.FE.ZS
## 1100 SL.TLF.ADVN.MA.ZS
## 1101 SL.TLF.0714.WK.FE.ZS
## 1102 SL.SLF.0714.ZS
## 1103 SL.EMP.WORK.ZS
## 1104 SL.EMP.MPYR.ZS
## 1105 SI.SPR.PCAP
## 1106 SI.POV.LMIC.GP
## 1107 SH.XPD.OOPC.PP.CD
## 1108 SH.UHC.OOPC.25.ZS
## 1109 SH.SVR.WAST.MA.ZS
## 1110 SH.STA.SMSS.RU.ZS
## 1111 SH.STA.MALN.MA.ZS
## 1112 SH.STA.AIRP.MA.P5
## 1113 SH.MED.PHYS.ZS
## 1114 SH.HIV.1524.MA.ZS
## 1115 SH.DYN.MORT
## 1116 SH.DTH.0509
## 1117 SG.TIM.UWRK.MA
## 1118 SE.XPD.CSEC.ZS
## 1119 SE.TER.CUAT.BA.ZS
## 1120 SE.SEC.TCAQ.LO.FE.ZS
## 1121 SE.SEC.ENRL.LO.TC.ZS
## 1122 SE.SEC.CMPT.LO.MA.ZS
## 1123 SE.PRM.TCAQ.FE.ZS
## 1124 SE.PRM.NINT.FE.ZS
## 1125 SE.PRM.CUAT.FE.ZS
## 1126 SE.ENR.PRIM.FM.ZS
## 1127 per_si_allsi.ben_q1_tot
## 1128 per_lm_alllm.ben_q1_tot
## 1129 NY.TAX.NIND.CD
## 1130 NY.GNP.MKTP.PP.CD
## 1131 NY.GDP.PCAP.KN
## 1132 NY.GDP.FCST.KN
## 1133 NY.ADJ.NNTY.PC.KD.ZG
## 1134 NY.ADJ.DKAP.GN.ZS
## 1135 NV.MNF.TECH.ZS.UN
## 1136 NV.IND.MANF.CD
## 1137 NE.IMP.GNFS.ZS
## 1138 NE.GDI.FTOT.KN
## 1139 NE.DAB.TOTL.CN
## 1140 NE.CON.PRVT.KD
## 1141 MS.MIL.TOTL.P1
## 1142 IT.MLT.MAIN.P2
## 1143 VC.IDP.TOCV
## 1144 TX.VAL.MRCH.R4.ZS
## 1145 TX.QTY.MRCH.XD.WD
## 1146 TM.VAL.MRCH.R1.ZS
## 1147 TM.TAX.TCOM.SM.FN.ZS
## 1148 TM.TAX.MANF.SM.FN.ZS
## 1149 ST.INT.ARVL
## 1150 SP.POP.TOTL.FE.ZS
## 1151 SP.POP.65UP.TO.ZS
## 1152 SP.POP.4044.MA.5Y
## 1153 SP.POP.1519.MA.5Y
## 1154 SP.M15.2024.FE.ZS
## 1155 SP.DYN.AMRT.MA
## 1156 SL.UEM.TOTL.ZS
## 1157 SL.UEM.ADVN.MA.ZS
## 1158 SL.TLF.CACT.ZS
## 1159 SL.TLF.ACTI.FE.ZS
## 1160 SL.TLF.0714.SW.MA.ZS
## 1161 SL.MNF.0714.MA.ZS
## 1162 SL.EMP.VULN.MA.ZS
## 1163 SL.EMP.1524.SP.NE.ZS
## 1164 SI.RMT.COST.IB.ZS
## 1165 SI.POV.DDAY
## 1166 SH.XPD.GHED.PC.CD
## 1167 SH.UHC.NOP2.ZS
## 1168 SH.STA.WAST.FE.ZS
## 1169 SH.STA.OWGH.ZS
## 1170 SH.STA.HYGN.RU.ZS
## 1171 SH.SGR.CRSK.ZS
## 1172 SH.IMM.MEAS
## 1173 SH.H2O.SMDW.UR.ZS
## 1174 SH.DYN.1519
## 1175 SH.ANM.CHLD.ZS
## 1176 SG.DMK.SRCR.FN.ZS
## 1177 SE.TER.ENRR.FE
## 1178 SE.SEC.UNER.LO.MA.ZS
## 1179 SE.SEC.PROG.FE.ZS
## 1180 SE.SEC.ENRL
## 1181 SE.PRM.UNER.MA.ZS
## 1182 SE.PRM.PRSL.ZS
## 1183 SE.PRM.GINT.ZS
## 1184 SE.PRM.AGES
## 1185 SE.ADT.LITR.FE.ZS
## 1186 per_sa_allsa.cov_q3_tot
## 1187 per_allsp.adq_pop_tot
## 1188 NY.GNS.ICTR.ZS
## 1189 NY.GNP.MKTP.CN.AD
## 1190 NY.GDP.PCAP.CD
## 1191 NY.GDP.DISC.KN
## 1192 NY.ADJ.NNTY.KD
## 1193 NY.ADJ.DCO2.GN.ZS
## 1194 NV.MNF.CHEM.ZS.UN
## 1195 NV.AGR.TOTL.ZS
## 1196 NE.IMP.GNFS.CN
## 1197 IQ.SPI.PIL1
## 1198 IQ.CPA.MACR.XQ
## 1199 IP.IDS.RSCT
## 1200 IC.TAX.METG
## 1201 IC.LGL.CRED.XQ
## 1202 IC.FRM.DURS
## 1203 IC.CRD.PUBL.ZS
## 1204 HD.HCI.OVRL
## 1205 GC.TAX.YPKG.RV.ZS
## 1206 GC.REV.XGRT.CN
## 1207 FX.OWN.TOTL.ZS
## 1208 FR.INR.LEND
## 1209 FI.RES.TOTL.MO
## 1210 ER.H2O.FWTL.ZS
## 1211 EN.POP.SLUM.UR.ZS
## 1212 EN.BIR.THRD.NO
## 1213 EN.ATM.METH.EG.ZS
## 1214 EN.ATM.CO2E.KT
## 1215 EG.ELC.RNWX.KH
## 1216 DT.TDS.MLAT.PG.ZS
## 1217 DT.ODA.ODAT.CD
## 1218 DT.NFL.UNCR.CD
## 1219 DT.NFL.MIDA.CD
## 1220 DT.DOD.MIBR.CD
## 1221 DC.DAC.USAL.CD
## 1222 DC.DAC.HUNL.CD
## 1223 CM.MKT.TRAD.GD.ZS
## 1224 BX.GSR.ROYL.CD
## 1225 BN.KAC.EOMS.CD
## 1226 BM.GSR.MRCH.CD
## 1227 AG.LND.PRCP.MM
## 1228 AG.CON.FERT.ZS
## 1229 IT.CEL.SETS
## 1230 IQ.SCI.PRDC
## 1231 IQ.CPA.GNDR.XQ
## 1232 IE.PPN.TRAN.CD
## 1233 IC.TAX.DURS
## 1234 IC.IMP.TMBC
## 1235 IC.FRM.CMPU.ZS
## 1236 IC.BUS.NREG
## 1237 GC.XPN.TRFT.CN
## 1238 GC.TAX.TOTL.CN
## 1239 GC.REV.GOTR.ZS
## 1240 FX.OWN.TOTL.PL.ZS
## 1241 FP.CPI.TOTL.ZG
## 1242 FD.RES.LIQU.AS.ZS
## 1243 ER.H2O.FWIN.ZS
## 1244 EN.POP.EL5M.RU.ZS
## 1245 EN.ATM.PM25.MC.T3.ZS
## 1246 EN.ATM.METH.AG.KT.CE
## 1247 EN.ATM.CO2E.GF.KT
## 1248 EG.ELC.NUCL.ZS
## 1249 DT.TDS.DPPG.GN.ZS
## 1250 DT.ODA.ALLD.KD
## 1251 DT.NFL.RDBN.CD
## 1252 DT.NFL.IMFC.CD
## 1253 DT.DOD.DSTC.IR.ZS
## 1254 DC.DAC.SVNL.CD
## 1255 DC.DAC.FRAL.CD
## 1256 CM.MKT.LCAP.GD.ZS
## 1257 BX.GSR.INSF.ZS
## 1258 BN.GSR.FCTY.CD
## 1259 BM.GSR.FCTY.CD
## 1260 AG.LND.FRST.K2
## 1261 VC.BTL.DETH
## 1262 TX.VAL.MRCH.R1.ZS
## 1263 TM.VAL.TRVL.ZS.WT
## 1264 TM.VAL.MRCH.CD.WT
## 1265 TM.TAX.TCOM.BR.ZS
## 1266 TM.TAX.MANF.BR.ZS
## 1267 SP.URB.TOTL
## 1268 SP.POP.TECH.RD.P6
## 1269 SP.POP.65UP.MA.IN
## 1270 SP.POP.3539.FE.5Y
## 1271 SP.POP.1014.FE.5Y
## 1272 SP.DYN.TO65.MA.ZS
## 1273 SN.ITK.VITA.ZS
## 1274 SL.UEM.TOTL.MA.NE.ZS
## 1275 SL.UEM.1524.NE.ZS
## 1276 SL.TLF.CACT.MA.NE.ZS
## 1277 SL.TLF.ACTI.1524.MA.ZS
## 1278 SL.TLF.0714.SW.FE.TM
## 1279 SL.IND.EMPL.MA.ZS
## 1280 SL.EMP.TOTL.SP.NE.ZS
## 1281 SL.EMP.1524.SP.FE.ZS
## 1282 SI.POV.NAHC
## 1283 SI.DST.50MD
## 1284 SH.XPD.GHED.CH.ZS
## 1285 SH.UHC.NOP2.CG
## 1286 SH.STA.SUIC.P5
## 1287 SH.STA.OWGH.FE.ZS
## 1288 SH.STA.BRTW.ZS
## 1289 SH.PRV.SMOK
## 1290 SH.HIV.PMTC.ZS
## 1291 SH.H2O.BASW.UR.ZS
## 1292 SH.DTH.NMRT
## 1293 SH.ALC.PCAP.LI
## 1294 SE.XPD.TOTL.GB.ZS
## 1295 SE.TER.CUAT.ST.ZS
## 1296 SE.SEC.TCHR.FE
## 1297 SE.SEC.NENR.FE
## 1298 SE.SEC.CUAT.UP.MA.ZS
## 1299 SE.PRM.UNER.FE
## 1300 SE.PRM.PRS5.ZS
## 1301 SE.PRM.ENRR.MA
## 1302 SE.PRE.TCAQ.FE.ZS
## 1303 SE.ADT.1524.LT.FM.ZS
## 1304 per_sa_allsa.cov_pop_tot
## 1305 PA.NUS.PPP
## 1306 NY.GNS.ICTR.CD
## 1307 NY.GNP.ATLS.CD
## 1308 NY.GDP.MKTP.PP.CD
## 1309 NY.GDP.DEFL.ZS
## 1310 NY.ADJ.NNAT.CD
## 1311 NY.ADJ.AEDU.CD
## 1312 NV.IND.TOTL.KD.ZG
## 1313 NV.AGR.TOTL.KD
## 1314 NE.GDI.TOTL.KN
## 1315 NE.EXP.GNFS.ZS
## 1316 NE.CON.TOTL.CN
## 1317 VC.IHR.PSRC.FE.P5
## 1318 TX.VAL.MRCH.R5.ZS
## 1319 TX.UVI.MRCH.XD.WD
## 1320 TM.VAL.MRCH.R2.ZS
## 1321 TM.TAX.TCOM.SR.ZS
## 1322 TM.TAX.MANF.SR.ZS
## 1323 ST.INT.DPRT
## 1324 SP.POP.TOTL.MA.IN
## 1325 SP.POP.7074.FE.5Y
## 1326 SP.POP.4549.FE.5Y
## 1327 SP.POP.1564.FE.IN
## 1328 SP.M18.2024.FE.ZS
## 1329 SP.DYN.CBRT.IN
## 1330 SL.WAG.0714.FE.ZS
## 1331 SL.UEM.ADVN.ZS
## 1332 SL.TLF.INTM.FE.ZS
## 1333 SL.TLF.ACTI.MA.ZS
## 1334 SL.TLF.0714.SW.TM
## 1335 SL.MNF.0714.ZS
## 1336 SL.EMP.VULN.ZS
## 1337 SL.EMP.1524.SP.ZS
## 1338 SI.RMT.COST.OB.ZS
## 1339 SI.POV.GAPS
## 1340 SH.XPD.GHED.PP.CD
## 1341 SH.UHC.OOPC.10.TO
## 1342 SH.STA.WAST.MA.ZS
## 1343 SH.STA.POIS.P5
## 1344 SH.STA.HYGN.UR.ZS
## 1345 SH.SGR.IRSK.ZS
## 1346 SH.MED.BEDS.ZS
## 1347 SH.H2O.SMDW.ZS
## 1348 SH.DYN.2024
## 1349 SH.ANM.NPRG.ZS
## 1350 SG.GEN.PARL.ZS
## 1351 SE.TER.ENRR.MA
## 1352 SE.SEC.UNER.LO.ZS
## 1353 SE.SEC.PROG.MA.ZS
## 1354 SE.SEC.ENRL.FE.ZS
## 1355 SE.PRM.UNER.ZS
## 1356 SE.PRM.REPT.FE.ZS
## 1357 SE.PRM.NENR
## 1358 SE.PRM.CMPT.FE.ZS
## 1359 SE.ADT.LITR.MA.ZS
## 1360 per_sa_allsa.cov_q4_tot
## 1361 per_allsp.ben_q1_tot
## 1362 NY.GSR.NFCY.CD
## 1363 NY.GNP.MKTP.KD
## 1364 NY.GDP.PCAP.CN
## 1365 NY.GDP.FCST.CD
## 1366 NY.ADJ.NNTY.KD.ZG
## 1367 NY.ADJ.DFOR.CD
## 1368 NV.MNF.FBTO.ZS.UN
## 1369 NV.FSM.TOTL.CN
## 1370 NE.IMP.GNFS.KD
## 1371 NE.GDI.FTOT.CN
## 1372 NE.CON.TOTL.ZS
## 1373 NE.CON.PRVT.CD
## 1374 LP.LPI.TIME.XQ
## 1375 IQ.SPI.PIL4
## 1376 IQ.CPA.PROP.XQ
## 1377 IP.PAT.RESD
## 1378 IC.TAX.PRFT.CP.ZS
## 1379 IC.PRP.PROC
## 1380 IC.FRM.FREG.ZS
## 1381 IC.ELC.OUTG
## 1382 HD.HCI.OVRL.LB.FE
## 1383 GC.XPN.COMP.ZS
## 1384 GC.TAX.EXPT.ZS
## 1385 GC.AST.TOTL.GD.ZS
## 1386 FR.INR.RISK
## 1387 FM.AST.DOMO.ZG.M3
## 1388 ER.LND.PTLD.ZS
## 1389 EN.URB.MCTY
## 1390 EN.CLC.MDAT.ZS
## 1391 EN.ATM.NOXE.AG.KT.CE
## 1392 EN.ATM.CO2E.PC
## 1393 EG.GDP.PUSE.KO.PP
## 1394 EG.CFT.ACCS.ZS
## 1395 DT.ODA.ODAT.KD
## 1396 DT.NFL.UNEP.CD
## 1397 DT.NFL.NIFC.CD
## 1398 DT.DOD.PVLX.CD
## 1399 DC.ODA.TOTL.CD
## 1400 DC.DAC.ITAL.CD
## 1401 DC.DAC.AUTL.CD
## 1402 BX.GSR.TRVL.ZS
## 1403 BN.RES.INCL.CD
## 1404 BM.GSR.TOTL.CD
## 1405 AG.LND.TOTL.UR.K2
## 1406 AG.LND.ARBL.HA
## 1407 NE.GDI.FTOT.CD
## 1408 NE.CON.TOTL.KN
## 1409 NE.CON.GOVT.ZS
## 1410 LP.LPI.OVRL.XQ
## 1411 IS.SHP.GOOD.TU
## 1412 IQ.SCI.OVRL
## 1413 IQ.CPA.FISP.XQ
## 1414 IE.PPN.ICTI.CD
## 1415 IC.REG.PROC.MA
## 1416 IC.IMP.CSDC.CD
## 1417 IC.FRM.BRIB.ZS
## 1418 IC.BUS.NDNS.ZS
## 1419 GC.XPN.TOTL.GD.ZS
## 1420 GC.TAX.OTHR.RV.ZS
## 1421 GC.REV.GOTR.CN
## 1422 FX.OWN.TOTL.OL.ZS
## 1423 FP.CPI.TOTL
## 1424 FD.AST.PRVT.GD.ZS
## 1425 ER.H2O.FWDM.ZS
## 1426 EN.POP.DNST
## 1427 EN.ATM.PM25.MC.T2.ZS
## 1428 EN.ATM.HFCG.KT.CE
## 1429 EN.ATM.CO2E.EG.ZS
## 1430 EG.ELC.NGAS.ZS
## 1431 DT.TDS.DPPG.CD
## 1432 DT.ODA.ALLD.CD
## 1433 DT.NFL.RDBC.CD
## 1434 DT.NFL.ILOG.CD
## 1435 DT.DOD.DSTC.CD
## 1436 DC.DAC.SVKL.CD
## 1437 DC.DAC.FINL.CD
## 1438 CM.MKT.LCAP.CD
## 1439 BX.GSR.GNFS.CD
## 1440 BN.FIN.TOTL.CD
## 1441 BM.GSR.CMCP.ZS
## 1442 AG.LND.EL5M.ZS
## INDICATOR_NAME
## 1 High-technology exports (% of manufactured exports)
## 2 Merchandise exports (current US$)
## 3 Computer, communications and other services (% of commercial service imports)
## 4 Manufactures imports (% of merchandise imports)
## 5 Tariff rate, applied, weighted mean, all products (%)
## 6 Merchandise trade (% of GDP)
## 7 Rural population growth (annual %)
## 8 Age dependency ratio, young (% of working-age population)
## 9 Population ages 65-69, male (% of male population)
## 10 Population ages 25-29, male (% of male population)
## 11 Population ages 0-14 (% of total population)
## 12 Life expectancy at birth, male (years)
## 13 Prevalence of moderate or severe food insecurity in the population (%)
## 14 Share of youth not in education, employment or training, total (% of youth population)
## 15 Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
## 16 Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)
## 17 Labor force participation rate for ages 15-24, female (%) (national estimate)
## 18 Employment in services (% of total employment) (modeled ILO estimate)
## 19 Contributing family workers, total (% of total employment) (modeled ILO estimate)
## 20 Employment to population ratio, 15+, female (%) (modeled ILO estimate)
## 21 Employment in agriculture, male (% of male employment) (modeled ILO estimate)
## 22 Multidimensional poverty intensity (average share of deprivations experienced by the poor)
## 23 Income share held by fourth 20%
## 24 External health expenditure (% of current health expenditure)
## 25 Number of people pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure
## 26 Prevalence of stunting, height for age (% of children under 5)
## 27 People practicing open defecation (% of population)
## 28 People using at least basic sanitation services (% of population)
## 29 Lifetime risk of maternal death (1 in: rate varies by country)
## 30 Young people (ages 15-24) newly infected with HIV
## 31 Mortality rate, neonatal (per 1,000 live births)
## 32 Cause of death, by injury (% of total)
## 33 Women who believe a husband is justified in beating his wife (any of five reasons) (%)
## 34 Expenditure on secondary education (% of government expenditure on education)
## 35 Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative)
## 36 Trained teachers in upper secondary education (% of total teachers)
## 37 School enrollment, secondary, female (% gross)
## 38 Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)
## 39 Adjusted net enrollment rate, primary, female (% of primary school age children)
## 40 School enrollment, primary, private (% of total primary)
## 41 Pupil-teacher ratio, primary
## 42 School enrollment, preprimary (% gross)
## 43 Coverage of social insurance programs in richest quintile (% of population)
## 44 Coverage of unemployment benefits and ALMP in richest quintile (% of population)
## 45 Terms of trade adjustment (constant LCU)
## 46 GNI per capita (constant LCU)
## 47 Gross domestic savings (current LCU)
## 48 GDP (constant 2015 US$)
## 49 Coal rents (% of GDP)
## 50 Adjusted savings: particulate emission damage (% of GNI)
## 51 Services, value added (annual % growth)
## 52 Industry (including construction), value added (current US$)
## 53 Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)
## 54 Gross capital formation (current LCU)
## 55 Exports of goods and services (constant 2015 US$)
## 56 Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $)
## 57 Arms exports (SIPRI trend indicator values)
## 58 Lead time to export, median case (days)
## 59 Export value index (2000 = 100)
## 60 Insurance and financial services (% of commercial service exports)
## 61 Merchandise imports by the reporting economy, residual (% of total merchandise imports)
## 62 Food imports (% of merchandise imports)
## 63 Share of tariff lines with international peaks, all products (%)
## 64 International tourism, receipts for travel items (current US$)
## 65 Completeness of birth registration, urban (%)
## 66 Population ages 80 and above, male (% of male population)
## 67 Population ages 55-59, male (% of male population)
## 68 Population ages 15-64 (% of total population)
## 69 Population ages 0-14, female (% of female population)
## 70 Mortality rate, infant (per 1,000 live births)
## 71 Refugee population by country or territory of origin
## 72 Unemployment with intermediate education, male (% of male labor force with intermediate education)
## 73 Part time employment, total (% of total employment)
## 74 Labor force with basic education, female (% of female working-age population with basic education)
## 75 Children in employment, work only, male (% of male children in employment, ages 7-14)
## 76 Child employment in services, male (% of male economically active children ages 7-14)
## 77 Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14)
## 78 Self-employed, male (% of male employment) (modeled ILO estimate)
## 79 Child employment in agriculture, female (% of female economically active children ages 7-14)
## 80 Multidimensional poverty headcount ratio, children (% of population ages 0-17)
## 81 Domestic private health expenditure per capita (current US$)
## 82 Newborns protected against tetanus (%)
## 83 Tuberculosis treatment success rate (% of new cases)
## 84 People using safely managed sanitation services (% of population)
## 85 Maternal mortality ratio (modeled estimate, per 100,000 live births)
## 86 Pregnant women receiving prenatal care (%)
## 87 Incidence of malaria (per 1,000 population at risk)
## 88 Adults (ages 15-49) newly infected with HIV
## 89 Mortality rate, under-5, male (per 1,000 live births)
## 90 Number of deaths ages 15-19 years
## 91 Women who believe a husband is justified in beating his wife when she argues with him (%)
## 92 Current education expenditure, total (% of total expenditure in public institutions)
## 93 Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative)
## 94 Trained teachers in lower secondary education (% of total teachers)
## 95 Pupil-teacher ratio, upper secondary
## 96 Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative)
## 97 Trained teachers in primary education (% of total teachers)
## 98 Net intake rate in grade 1 (% of official school-age population)
## 99 Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative)
## 100 School enrollment, secondary (gross), gender parity index (GPI)
## 101 Coverage of social insurance programs in poorest quintile (% of population)
## 102 Coverage of unemployment benefits and ALMP in poorest quintile (% of population)
## 103 Taxes less subsidies on products (constant LCU)
## 104 GNI per capita, Atlas method (current US$)
## 105 GDP per capita, PPP (constant 2017 international $)
## 106 Mineral rents (% of GDP)
## 107 Adjusted net savings, including particulate emission damage (% of GNI)
## 108 Adjusted savings: mineral depletion (% of GNI)
## 109 Services, value added per worker (constant 2015 US$)
## 110 Manufacturing, value added (constant 2015 US$)
## 111 External balance on goods and services (current LCU)
## 112 Changes in inventories (current US$)
## 113 Gross national expenditure (constant LCU)
## 114 Households and NPISHs Final consumption expenditure (constant LCU)
## 115 Military expenditure (current USD)
## 116 Fixed broadband subscriptions (per 100 people)
## 117 Travel services (% of commercial service exports)
## 118 Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)
## 119 Transport services (% of commercial service imports)
## 120 Merchandise imports from economies in the Arab World (% of total merchandise imports)
## 121 Binding coverage, primary products (%)
## 122 Binding coverage, manufactured products (%)
## 123 Urban population growth (annual %)
## 124 Researchers in R&D (per million people)
## 125 Population ages 65 and above, female (% of female population)
## 126 Population ages 30-34, male (% of male population)
## 127 Population ages 05-09, male (% of male population)
## 128 Survival to age 65, female (% of cohort)
## 129 Prevalence of severe food insecurity in the population (%)
## 130 Unemployment, female (% of female labor force) (modeled ILO estimate)
## 131 Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)
## 132 Ratio of female to male labor force participation rate (%) (modeled ILO estimate)
## 133 Labor force participation rate for ages 15-24, male (%) (national estimate)
## 134 Children in employment, male (% of male children ages 7-14)
## 135 Employment in industry, female (% of female employment) (modeled ILO estimate)
## 136 Employment to population ratio, 15+, male (%) (modeled ILO estimate)
## 137 Employment to population ratio, ages 15-24, female (%) (national estimate)
## 138 Multidimensional poverty index (scale 0-1)
## 139 Income share held by highest 10%
## 140 External health expenditure per capita, PPP (current international $)
## 141 Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)
## 142 Suicide mortality rate, male (per 100,000 male population)
## 143 Diarrhea treatment (% of children under 5 who received ORS packet)
## 144 Births attended by skilled health staff (% of total)
## 145 Prevalence of anemia among pregnant women (%)
## 146 Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)
## 147 People using at least basic drinking water services, rural (% of rural population)
## 148 Cause of death, by non-communicable diseases (% of total)
## 149 Total alcohol consumption per capita, female (liters of pure alcohol, projected estimates, female 15+ years of age)
## 150 Expenditure on tertiary education (% of government expenditure on education)
## 151 Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative)
## 152 Secondary education, teachers
## 153 School enrollment, secondary (% net)
## 154 Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative)
## 155 Children out of school, primary
## 156 Persistence to grade 5, male (% of cohort)
## 157 School enrollment, primary, female (% gross)
## 158 School enrollment, preprimary, male (% gross)
## 159 Literacy rate, youth female (% of females ages 15-24)
## 160 Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits)
## 161 Official exchange rate (LCU per US$, period average)
## 162 GNI per capita, PPP (constant 2017 international $)
## 163 Gross domestic income (constant LCU)
## 164 GDP (constant LCU)
## 165 Inflation, GDP deflator: linked series (annual %)
## 166 Adjusted savings: gross savings (% of GNI)
## 167 Services, value added (% of GDP)
## 168 Industry (including construction), value added (constant 2015 US$)
## 169 Agriculture, forestry, and fishing, value added (current LCU)
## 170 Gross capital formation (annual % growth)
## 171 Exports of goods and services (constant LCU)
## 172 Final consumption expenditure (current US$)
## 173 General government final consumption expenditure (current LCU)
## 174 Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)
## 175 Railways, goods transported (million ton-km)
## 176 CPIA structural policies cluster average (1=low to 6=high)
## 177 CPIA economic management cluster average (1=low to 6=high)
## 178 CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high)
## 179 CPIA quality of budgetary and financial management rating (1=low to 6=high)
## 180 Investment in water and sanitation with private participation (current US$)
## 181 Start-up procedures to register a business (number)
## 182 Time spent dealing with the requirements of government regulations (% of senior management time)
## 183 Firms using banks to finance working capital (% of firms)
## 184 Business extent of disclosure index (0=less disclosure to 10=more disclosure)
## 185 Other expense (% of expense)
## 186 Taxes on international trade (% of revenue)
## 187 Net lending (+) / net borrowing (-) (current LCU)
## 188 Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)
## 189 Broad money to total reserves ratio
## 190 Borrowers from commercial banks (per 1,000 adults)
## 191 Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)
## 192 Plant species (higher), threatened
## 193 PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)
## 194 Total greenhouse gas emissions (kt of CO2 equivalent)
## 195 Electric power consumption (kWh per capita)
## 196 Electricity production from hydroelectric sources (% of total)
## 197 IMF repurchases and charges (TDS, current US$)
## 198 Net official flows from UN agencies, WFP (current US$)
## 199 PPG, other private creditors (NFL, current US$)
## 200 Net official flows from UN agencies, IAEA (current US$)
## 201 External debt stocks, private nonguaranteed (PNG) (DOD, current US$)
## 202 Net bilateral aid flows from DAC donors, Poland (current US$)
## 203 Net bilateral aid flows from DAC donors, Denmark (current US$)
## 204 Personal remittances, received (% of GDP)
## 205 Communications, computer, etc. (% of service exports, BoP)
## 206 Current account balance (BoP, current US$)
## 207 Cereal yield (kg per hectare)
## 208 Urban land area where elevation is below 5 meters (sq. km)
## 209 Transport services (% of commercial service exports)
## 210 Merchandise exports to high-income economies (% of total merchandise exports)
## 211 Commercial service imports (current US$)
## 212 Ores and metals imports (% of merchandise imports)
## 213 Tariff rate, most favored nation, weighted mean, all products (%)
## 214 Import volume index (2000 = 100)
## 215 Rural population (% of total population)
## 216 Population growth (annual %)
## 217 Population ages 65 and above, female
## 218 Population ages 30-34, female (% of female population)
## 219 Population ages 05-09, female (% of female population)
## 220 Fertility rate, total (births per woman)
## 221 Consumption of iodized salt (% of households)
## 222 Unemployment, female (% of female labor force) (national estimate)
## 223 Unemployment, youth male (% of male labor force ages 15-24) (national estimate)
## 224 Ratio of female to male labor force participation rate (%) (national estimate)
## 225 Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate)
## 226 Children in employment, female (% of female children ages 7-14)
## 227 GDP per person employed (constant 2017 PPP $)
## 228 Employment to population ratio, 15+, male (%) (national estimate)
## 229 Employment in agriculture (% of total employment) (modeled ILO estimate)
## 230 Multidimensional poverty headcount ratio, male (% of male population)
## 231 Income share held by highest 20%
## 232 External health expenditure per capita (current US$)
## 233 Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)
## 234 Suicide mortality rate, female (per 100,000 female population)
## 235 Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding)
## 236 Exclusive breastfeeding (% of children under 6 months)
## 237 Lifetime risk of maternal death (%)
## 238 Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24)
## 239 Demand for family planning satisfied by modern methods (% of married women with demand for family planning)
## 240 Number of under-five deaths
## 241 Women who believe a husband is justified in beating his wife when she refuses sex with him (%)
## 242 Government expenditure per student, tertiary (% of GDP per capita)
## 243 Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative)
## 244 Trained teachers in secondary education (% of total teachers)
## 245 School enrollment, secondary, male (% gross)
## 246 Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative)
## 247 Adjusted net enrollment rate, primary, male (% of primary school age children)
## 248 Persistence to grade 5, female (% of cohort)
## 249 School enrollment, primary (% gross)
## 250 School enrollment, preprimary, female (% gross)
## 251 Real effective exchange rate index (2010 = 100)
## 252 Adequacy of social safety net programs (% of total welfare of beneficiary households)
## 253 DEC alternative conversion factor (LCU per US$)
## 254 GNI per capita, PPP (current international $)
## 255 Gross domestic savings (% of GDP)
## 256 GDP growth (annual %)
## 257 Inflation, GDP deflator (annual %)
## 258 Adjusted savings: natural resources depletion (% of GNI)
## 259 Services, value added (constant LCU)
## 260 Industry (including construction), value added (current LCU)
## 261 Agriculture, forestry, and fishing, value added (current US$)
## 262 Computer, communications and other services (% of commercial service exports)
## 263 Manufactures exports (% of merchandise exports)
## 264 Merchandise imports by the reporting economy (current US$)
## 265 Fuel imports (% of merchandise imports)
## 266 Tariff rate, applied, simple mean, all products (%)
## 267 International tourism, expenditures for travel items (current US$)
## 268 Completeness of birth registration (%)
## 269 Sex ratio at birth (male births per female births)
## 270 Population ages 60-64, female (% of female population)
## 271 Population ages 20-24, female (% of female population)
## 272 Population ages 0-14, male
## 273 Mortality rate, infant, male (per 1,000 live births)
## 274 International migrant stock, total
## 275 Unemployment with intermediate education (% of total labor force with intermediate education)
## 276 Labor force, female (% of total labor force)
## 277 Labor force with basic education, male (% of male working-age population with basic education)
## 278 Average working hours of children, working only, ages 7-14 (hours per week)
## 279 Child employment in services (% of economically active children ages 7-14)
## 280 Children in employment, unpaid family workers (% of children in employment, ages 7-14)
## 281 Self-employed, total (% of total employment) (modeled ILO estimate)
## 282 Child employment in agriculture, male (% of male economically active children ages 7-14)
## 283 Multidimensional poverty index, children (population ages 0-17) (scale 0-1)
## 284 Domestic private health expenditure per capita, PPP (current international $)
## 285 Current health expenditure (% of GDP)
## 286 Tuberculosis case detection rate (%, all forms)
## 287 Prevalence of stunting, height for age, female (% of children under 5)
## 288 Maternal mortality ratio (national estimate, per 100,000 live births)
## 289 ARI treatment (% of children under 5 taken to a health provider)
## 290 Use of insecticide-treated bed nets (% of under-5 population)
## 291 Children (ages 0-14) newly infected with HIV
## 292 Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, female (%)
## 293 Number of deaths ages 20-24 years
## 294 Women who believe a husband is justified in beating his wife when she burns the food (%)
## 295 Government expenditure per student, primary (% of GDP per capita)
## 296 Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative)
## 297 Trained teachers in secondary education, male (% of male teachers)
## 298 Secondary education, vocational pupils
## 299 Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative)
## 300 Primary education, teachers
## 301 Over-age students, primary, female (% of female enrollment)
## 302 Primary education, duration (years)
## 303 School enrollment, tertiary (gross), gender parity index (GPI)
## 304 Coverage of social insurance programs in 2nd quintile (% of population)
## 305 Coverage of unemployment benefits and ALMP in 2nd quintile (% of population)
## 306 Net secondary income (Net current transfers from abroad) (current US$)
## 307 GNI per capita (current LCU)
## 308 Oil rents (% of GDP)
## 309 GDP (current US$)
## 310 Adjusted net savings, excluding particulate emission damage (current US$)
## 311 Adjusted savings: energy depletion (current US$)
## 312 Services, value added (current US$)
## 313 Manufacturing, value added (annual % growth)
## 314 External balance on goods and services (constant LCU)
## 315 Changes in inventories (current LCU)
## 316 Gross national expenditure (% of GDP)
## 317 Households and NPISHs Final consumption expenditure per capita (constant 2015 US$)
## 318 Military expenditure (current LCU)
## 319 Secure Internet servers
## 320 Internally displaced persons, new displacement associated with conflict and violence (number of cases)
## 321 Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)
## 322 Net barter terms of trade index (2000 = 100)
## 323 Merchandise imports from high-income economies (% of total merchandise imports)
## 324 Share of tariff lines with international peaks, primary products (%)
## 325 Share of tariff lines with international peaks, manufactured products (%)
## 326 Urban population (% of total population)
## 327 Population, total
## 328 Population ages 65 and above, male (% of male population)
## 329 Population ages 35-39, male (% of male population)
## 330 Population ages 10-14, male (% of male population)
## 331 Wanted fertility rate (births per woman)
## 332 Adolescent fertility rate (births per 1,000 women ages 15-19)
## 333 Unemployment, male (% of male labor force) (modeled ILO estimate)
## 334 Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)
## 335 Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)
## 336 Labor force participation rate for ages 15-24, total (%) (national estimate)
## 337 Children in employment, study and work, female (% of female children in employment, ages 7-14)
## 338 Employment in industry (% of total employment) (modeled ILO estimate)
## 339 Employment to population ratio, 15+, total (%) (modeled ILO estimate)
## 340 Employment to population ratio, ages 15-24, male (%) (national estimate)
## 341 Poverty headcount ratio at $6.85 a day (2017 PPP) (% of population)
## 342 Income share held by lowest 10%
## 343 Domestic general government health expenditure (% of GDP)
## 344 Number of people pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure
## 345 Mortality caused by road traffic injury (per 100,000 population)
## 346 Prevalence of overweight, weight for height, male (% of children under 5)
## 347 Diabetes prevalence (% of population ages 20 to 79)
## 348 Prevalence of current tobacco use, females (% of female adults)
## 349 Immunization, HepB3 (% of one-year-old children)
## 350 People using at least basic drinking water services (% of population)
## 351 Probability of dying among children ages 5-9 years (per 1,000)
## 352 Total alcohol consumption per capita, male (liters of pure alcohol, projected estimates, male 15+ years of age)
## 353 Government expenditure on education, total (% of GDP)
## 354 Pupil-teacher ratio, tertiary
## 355 Secondary education, teachers (% female)
## 356 School enrollment, secondary, male (% net)
## 357 Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative)
## 358 Children out of school, female (% of female primary school age)
## 359 Persistence to last grade of primary, female (% of cohort)
## 360 Gross intake ratio in first grade of primary education, female (% of relevant age group)
## 361 Trained teachers in preprimary education, male (% of male teachers)
## 362 Literacy rate, youth male (% of males ages 15-24)
## 363 Coverage of social safety net programs in poorest quintile (% of population)
## 364 Price level ratio of PPP conversion factor (GDP) to market exchange rate
## 365 Gross savings (current LCU)
## 366 GNI (current US$)
## 367 GDP, PPP (constant 2017 international $)
## 368 GDP deflator: linked series (base year varies by country)
## 369 Adjusted savings: net national savings (% of GNI)
## 370 Adjusted savings: education expenditure (% of GNI)
## 371 Industry (including construction), value added (constant LCU)
## 372 Agriculture, forestry, and fishing, value added (annual % growth)
## 373 Gross capital formation (% of GDP)
## 374 Gross fixed capital formation, private sector (current LCU)
## 375 Final consumption expenditure (constant 2015 US$)
## 376 General government final consumption expenditure (annual % growth)
## 377 Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)
## 378 Rail lines (total route-km)
## 379 Logistics performance index: Ability to track and trace consignments (1=low to 5=high)
## 380 Mobile cellular subscriptions (per 100 people)
## 381 Source data assessment of statistical capacity (scale 0 - 100)
## 382 CPIA building human resources rating (1=low to 6=high)
## 383 Public private partnerships investment in water and sanitation (current US$)
## 384 Firms expected to give gifts in meetings with tax officials (% of firms)
## 385 Time to import, documentary compliance (hours)
## 386 Informal payments to public officials (% of firms)
## 387 Depth of credit information index (0=low to 8=high)
## 388 Subsidies and other transfers (% of expense)
## 389 Tax revenue (% of GDP)
## 390 Social contributions (current LCU)
## 391 Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+)
## 392 Wholesale price index (2010 = 100)
## 393 Total reserves (includes gold, current US$)
## 394 Level of water stress: freshwater withdrawal as a proportion of available freshwater resources
## 395 Urban population living in areas where elevation is below 5 meters (% of total population)
## 396 PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)
## 397 Agricultural methane emissions (% of total)
## 398 CO2 emissions from gaseous fuel consumption (% of total)
## 399 Electricity production from oil sources (% of total)
## 400 Public and publicly guaranteed debt service (% of exports of goods, services and primary income)
## 401 Net official aid received (current US$)
## 402 Net official flows from UN agencies, UNAIDS (current US$)
## 403 Net financial flows, IMF nonconcessional (NFL, current US$)
## 404 Short-term debt (% of exports of goods, services and primary income)
## 405 Net bilateral aid flows from DAC donors, Sweden (current US$)
## 406 Net bilateral aid flows from DAC donors, United Kingdom (current US$)
## 407 Listed domestic companies, total
## 408 Goods exports (BoP, current US$)
## 409 Net trade in goods and services (BoP, current US$)
## 410 Imports of goods and services (BoP, current US$)
## 411 Forest area (% of land area)
## 412 Agricultural machinery, tractors
## 413 Air transport, freight (million ton-km)
## 414 CPIA efficiency of revenue mobilization rating (1=low to 6=high)
## 415 CPIA business regulatory environment rating (1=low to 6=high)
## 416 Procedures to build a warehouse (number)
## 417 Cost of business start-up procedures (% of GNI per capita)
## 418 Value lost due to electrical outages (% of sales for affected firms)
## 419 Cost to export, border compliance (US$)
## 420 Human Capital Index (HCI), Upper Bound (scale 0-1)
## 421 Interest payments (current LCU)
## 422 Taxes on goods and services (% value added of industry and services)
## 423 Net incurrence of liabilities, total (current LCU)
## 424 Domestic credit provided by financial sector (% of GDP)
## 425 Monetary Sector credit to private sector (% GDP)
## 426 Bank nonperforming loans to total gross loans (%)
## 427 Pump price for gasoline (US$ per liter)
## 428 CO2 emissions from manufacturing industries and construction (% of total fuel combustion)
## 429 Nitrous oxide emissions in energy sector (% of total)
## 430 CO2 emissions from solid fuel consumption (kt)
## 431 Alternative and nuclear energy (% of total energy use)
## 432 Access to electricity, urban (% of urban population)
## 433 Net ODA received (% of central government expense)
## 434 Net official flows from UN agencies, UNPBF (current US$)
## 435 PPG, commercial banks (NFL, current US$)
## 436 Net financial flows, bilateral (NFL, current US$)
## 437 External debt stocks, total (DOD, current US$)
## 438 Net bilateral aid flows from DAC donors, Luxembourg (current US$)
## 439 Net bilateral aid flows from DAC donors, European Union institutions (current US$)
## 440 Portfolio equity, net inflows (BoP, current US$)
## 441 Grants, excluding technical cooperation (BoP, current US$)
## 442 Foreign direct investment, net outflows (BoP, current US$)
## 443 Crop production index (2014-2016 = 100)
## 444 Land under cereal production (hectares)
## 445 Imports of goods and services (constant LCU)
## 446 Gross fixed capital formation (annual % growth)
## 447 Gross national expenditure (current US$)
## 448 Households and NPISHs final consumption expenditure: linked series (current LCU)
## 449 Arms imports (SIPRI trend indicator values)
## 450 Fixed telephone subscriptions
## 451 Statistical performance indicators (SPI): Overall score (scale 0-100)
## 452 IDA resource allocation index (1=low to 6=high)
## 453 Industrial design applications, nonresident, by count
## 454 Labor tax and contributions (% of commercial profits)
## 455 Time to resolve insolvency (years)
## 456 Losses due to theft and vandalism (% of annual sales of affected firms)
## 457 Private credit bureau coverage (% of adults)
## 458 Primary government expenditures as a proportion of original approved budget (%)
## 459 Taxes on income, profits and capital gains (current LCU)
## 460 Social contributions (% of revenue)
## 461 Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24)
## 462 Deposit interest rate (%)
## 463 Total reserves (% of total external debt)
## 464 Annual freshwater withdrawals, total (billion cubic meters)
## 465 Population living in areas where elevation is below 5 meters (% of total population)
## 466 SF6 gas emissions (thousand metric tons of CO2 equivalent)
## 467 Methane emissions in energy sector (thousand metric tons of CO2 equivalent)
## 468 CO2 emissions (kg per 2015 US$ of GDP)
## 469 Renewable electricity output (% of total electricity output)
## 470 Multilateral debt service (TDS, current US$)
## 471 Net official aid received (constant 2020 US$)
## 472 Net official flows from UN agencies, UNICEF (current US$)
## 473 Net financial flows, IBRD (NFL, current US$)
## 474 Short-term debt (% of total external debt)
## 475 Net bilateral aid flows from DAC donors, Total (current US$)
## 476 Net bilateral aid flows from DAC donors, Greece (current US$)
## 477 Stocks traded, total value (current US$)
## 478 Service exports (BoP, current US$)
## 479 Net trade in goods (BoP, current US$)
## 480 Insurance and financial services (% of service imports, BoP)
## 481 Agricultural irrigated land (% of total agricultural land)
## 482 Fertilizer consumption (% of fertilizer production)
## 483 Merchandise exports to low- and middle-income economies within region (% of total merchandise exports)
## 484 ICT goods exports (% of total goods exports)
## 485 Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)
## 486 Agricultural raw materials imports (% of merchandise imports)
## 487 Bound rate, simple mean, all products (%)
## 488 International tourism, expenditures for passenger transport items (current US$)
## 489 Completeness of birth registration, rural (%)
## 490 Population ages 80 and above, female (% of female population)
## 491 Population ages 55-59, female (% of female population)
## 492 Population ages 15-64, total
## 493 Population ages 0-14, female
## 494 Mortality rate, infant, female (per 1,000 live births)
## 495 Refugee population by country or territory of asylum
## 496 Unemployment with intermediate education, female (% of female labor force with intermediate education)
## 497 Part time employment, male (% of total male employment)
## 498 Labor force with advanced education (% of total working-age population with advanced education)
## 499 Average working hours of children, working only, male, ages 7-14 (hours per week)
## 500 Child employment in services, female (% of female economically active children ages 7-14)
## 501 Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14)
## 502 Self-employed, female (% of female employment) (modeled ILO estimate)
## 503 Annualized average growth rate in per capita real survey mean consumption or income, total population (%)
## 504 Multidimensional poverty headcount ratio (% of total population)
## 505 Domestic private health expenditure (% of current health expenditure)
## 506 UHC service coverage index
## 507 Prevalence of severe wasting, weight for height (% of children under 5)
## 508 People using safely managed sanitation services, urban (% of urban population)
## 509 Prevalence of underweight, weight for age (% of children under 5)
## 510 Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)
## 511 Specialist surgical workforce (per 100,000 population)
## 512 Antiretroviral therapy coverage (% of people living with HIV)
## 513 Mortality rate, under-5, female (per 1,000 live births)
## 514 Number of deaths ages 10-14 years
## 515 Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)
## 516 Current education expenditure, tertiary (% of total expenditure in tertiary public institutions)
## 517 Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative)
## 518 Trained teachers in lower secondary education, male (% of male teachers)
## 519 Pupil-teacher ratio, secondary
## 520 Lower secondary completion rate, total (% of relevant age group)
## 521 Trained teachers in primary education, male (% of male teachers)
## 522 Net intake rate in grade 1, male (% of official school-age population)
## 523 Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative)
## 524 School enrollment, primary and secondary (gross), gender parity index (GPI)
## 525 Coverage of social insurance programs (% of population)
## 526 Coverage of unemployment benefits and ALMP (% of population)
## 527 Taxes less subsidies on products (current LCU)
## 528 GNI, PPP (constant 2017 international $)
## 529 GDP per capita, PPP (current international $)
## 530 Forest rents (% of GDP)
## 531 Adjusted net savings, including particulate emission damage (current US$)
## 532 Adjusted savings: mineral depletion (current US$)
## 533 Textiles and clothing (% of value added in manufacturing)
## 534 Manufacturing, value added (current LCU)
## 535 External balance on goods and services (current US$)
## 536 Gross fixed capital formation (% of GDP)
## 537 Gross national expenditure (constant 2015 US$)
## 538 High-technology exports (current US$)
## 539 Merchandise exports to economies in the Arab World (% of total merchandise exports)
## 540 Import unit value index (2015 = 100)
## 541 Insurance and financial services (% of commercial service imports)
## 542 Share of tariff lines with specific rates, all products (%)
## 543 International tourism, expenditures (% of total imports)
## 544 Rural population
## 545 Age dependency ratio, old (% of working-age population)
## 546 Population ages 65-69, female (% of female population)
## 547 Population ages 25-29, female (% of female population)
## 548 Population ages 0-14, total
## 549 Life expectancy at birth, total (years)
## 550 Prevalence of undernourishment (% of population)
## 551 Share of youth not in education, employment or training, male (% of male youth population)
## 552 Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
## 553 Labor force participation rate, female (% of female population ages 15+) (national estimate)
## 554 Children in employment, total (% of children ages 7-14)
## 555 Employment in services, male (% of male employment) (modeled ILO estimate)
## 556 Contributing family workers, male (% of male employment) (modeled ILO estimate)
## 557 Employment to population ratio, 15+, female (%) (national estimate)
## 558 Employment in agriculture, female (% of female employment) (modeled ILO estimate)
## 559 Multidimensional poverty headcount ratio, household (% of total households)
## 560 Income share held by third 20%
## 561 Current health expenditure per capita, PPP (current international $)
## 562 Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)
## 563 Prevalence of stunting, height for age (modeled estimate, % of children under 5)
## 564 People practicing open defecation, urban (% of urban population)
## 565 People using at least basic sanitation services, urban (% of urban population)
## 566 Number of maternal deaths
## 567 Incidence of HIV, all (per 1,000 uninfected population)
## 568 Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%)
## 569 Number of infant deaths
## 570 Women who believe a husband is justified in beating his wife when she neglects the children (%)
## 571 Government expenditure per student, secondary (% of GDP per capita)
## 572 Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative)
## 573 Trained teachers in upper secondary education, male (% of male teachers)
## 574 School enrollment, secondary (% gross)
## 575 Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative)
## 576 Adjusted net enrollment rate, primary (% of primary school age children)
## 577 Over-age students, primary (% of enrollment)
## 578 Primary education, pupils (% female)
## 579 Pupil-teacher ratio, preprimary
## 580 Coverage of social insurance programs in 4th quintile (% of population)
## 581 Coverage of unemployment benefits and ALMP in 4th quintile (% of population)
## 582 Net secondary income (Net current transfers from abroad) (constant LCU)
## 583 GNI per capita growth (annual %)
## 584 Gross domestic savings (current US$)
## 585 GDP: linked series (current LCU)
## 586 Exports as a capacity to import (constant LCU)
## 587 Adjusted savings: particulate emission damage (current US$)
## 588 Services, value added (constant 2015 US$)
## 589 Manufacturing, value added (% of GDP)
## 590 Trade (% of GDP)
## 591 Gross capital formation (current US$)
## 592 Exports of goods and services (current LCU)
## 593 Households and NPISHs Final consumption expenditure, PPP (current international $)
## 594 Military expenditure (% of general government expenditure)
## 595 Households and NPISHs Final consumption expenditure (annual % growth)
## 596 Armed forces personnel (% of total labor force)
## 597 Fixed broadband subscriptions
## 598 Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100)
## 599 CPIA quality of public administration rating (1=low to 6=high)
## 600 Scientific and technical journal articles
## 601 Other taxes payable by businesses (% of commercial profits)
## 602 Time required to enforce a contract (days)
## 603 Firms with female top manager (% of firms)
## 604 Average time to clear exports through customs (days)
## 605 Human Capital Index (HCI), Female (scale 0-1)
## 606 Taxes on income, profits and capital gains (% of total taxes)
## 607 Revenue, excluding grants (% of GDP)
## 608 Research and development expenditure (% of GDP)
## 609 Interest rate spread (lending rate minus deposit rate, %)
## 610 Total reserves minus gold (current US$)
## 611 Renewable internal freshwater resources, total (billion cubic meters)
## 612 Population in largest city
## 613 Disaster risk reduction progress score (1-5 scale; 5=best)
## 614 Methane emissions (kt of CO2 equivalent)
## 615 CO2 emissions from liquid fuel consumption (kt)
## 616 Electricity production from renewable sources, excluding hydroelectric (% of total)
## 617 Access to clean fuels and technologies for cooking, rural (% of rural population)
## 618 Net ODA received (% of gross capital formation)
## 619 Net official flows from UN agencies, UNDP (current US$)
## 620 Net financial flows, multilateral (NFL, current US$)
## 621 PPG, IDA (DOD, current US$)
## 622 Net ODA provided, to the least developed countries (current US$)
## 623 Net bilateral aid flows from DAC donors, Ireland (current US$)
## 624 Stocks traded, turnover ratio of domestic shares (%)
## 625 Exports of goods, services and primary income (BoP, current US$)
## 626 Foreign direct investment, net (BoP, current US$)
## 627 Service imports (BoP, current US$)
## 628 Land area (sq. km)
## 629 Agricultural land (sq. km)
## 630 Investment in ICT with private participation (current US$)
## 631 Time required to start a business, female (days)
## 632 Firms experiencing losses due to theft and vandalism (% of firms)
## 633 Time to export, border compliance (hours)
## 634 Human Capital Index (HCI), Male, Upper Bound (scale 0-1)
## 635 Interest payments (% of expense)
## 636 Customs and other import duties (% of tax revenue)
## 637 Net investment in nonfinancial assets (current LCU)
## 638 Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+)
## 639 Broad money (current LCU)
## 640 Bank capital to assets ratio (%)
## 641 Capture fisheries production (metric tons)
## 642 CO2 emissions from transport (% of total fuel combustion)
## 643 Nitrous oxide emissions (% change from 1990)
## 644 Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent)
## 645 Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)
## 646 Electricity production from coal sources (% of total)
## 647 Total debt service (% of exports of goods, services and primary income)
## 648 Net official flows from UN agencies, UNTA (current US$)
## 649 PNG, bonds (NFL, current US$)
## 650 Net flows on external debt, private nonguaranteed (PNG) (NFL, current US$)
## 651 Use of IMF credit (DOD, current US$)
## 652 Net bilateral aid flows from DAC donors, Norway (current US$)
## 653 Net bilateral aid flows from DAC donors, Czech Republic (current US$)
## 654 Personal transfers, receipts (BoP, current US$)
## 655 ICT service exports (BoP, current US$)
## 656 Secondary income, other sectors, payments (BoP, current US$)
## 657 Livestock production index (2014-2016 = 100)
## 658 Rural land area where elevation is below 5 meters (sq. km)
## 659 Logistics performance index: Competence and quality of logistics services (1=low to 5=high)
## 660 Liner shipping connectivity index (maximum value in 2004 = 100)
## 661 Methodology assessment of statistical capacity (scale 0 - 100)
## 662 CPIA financial sector rating (1=low to 6=high)
## 663 Public private partnerships investment in energy (current US$)
## 664 Start-up procedures to register a business, female (number)
## 665 Cost to import, border compliance (US$)
## 666 Firms using banks to finance investment (% of firms)
## 667 Ease of doing business rank (1=most business-friendly regulations)
## 668 Expense (current LCU)
## 669 Other taxes (current LCU)
## 670 Net lending (+) / net borrowing (-) (% of GDP)
## 671 Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)
## 672 Broad money growth (annual %)
## 673 Depositors with commercial banks (per 1,000 adults)
## 674 Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)
## 675 Mammal species, threatened
## 676 PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-1 value (% of total)
## 677 Total greenhouse gas emissions (% change from 1990)
## 678 Energy use (kg of oil equivalent per capita)
## 679 Electric power transmission and distribution losses (% of output)
## 680 Debt service (PPG and IMF only, % of exports of goods, services and primary income)
## 681 Net official flows from UN agencies, WHO (current US$)
## 682 PPG, private creditors (NFL, current US$)
## 683 Net official flows from UN agencies, IFAD (current US$)
## 684 External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)
## 685 Net bilateral aid flows from DAC donors, Portugal (current US$)
## 686 Net bilateral aid flows from DAC donors, Spain (current US$)
## 687 S&P Global Equity Indices (annual % change)
## 688 Primary income receipts (BoP, current US$)
## 689 Current account balance (% of GDP)
## 690 Trade in services (% of GDP)
## 691 Urban land area where elevation is below 5 meters (% of total land area)
## 692 Gross capital formation (constant 2015 US$)
## 693 Exports of goods and services (annual % growth)
## 694 Households and NPISHs final consumption expenditure (% of GDP)
## 695 General government final consumption expenditure (current US$)
## 696 Lead time to import, median case (days)
## 697 Air transport, passengers carried
## 698 CPIA policies for social inclusion/equity cluster average (1=low to 6=high)
## 699 CPIA debt policy rating (1=low to 6=high)
## 700 Investment in energy with private participation (current US$)
## 701 Time required to start a business (days)
## 702 Firms that spend on R&D (% of firms)
## 703 Cost to export, documentary compliance (US$)
## 704 Human Capital Index (HCI), Female, Upper Bound (scale 0-1)
## 705 Interest payments (% of revenue)
## 706 Customs and other import duties (current LCU)
## 707 Net incurrence of liabilities, total (% of GDP)
## 708 Domestic credit to private sector (% of GDP)
## 709 Claims on private sector (annual growth as % of broad money)
## 710 Automated teller machines (ATMs) (per 100,000 adults)
## 711 Aquaculture production (metric tons)
## 712 CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion)
## 713 Nitrous oxide emissions (thousand metric tons of CO2 equivalent)
## 714 CO2 emissions from solid fuel consumption (% of total)
## 715 Fossil fuel energy consumption (% of total)
## 716 Access to electricity (% of population)
## 717 Debt service on external debt, total (TDS, current US$)
## 718 Net official flows from UN agencies, UNRWA (current US$)
## 719 Commercial banks and other lending (PPG + PNG) (NFL, current US$)
## 720 Portfolio investment, bonds (PPG + PNG) (NFL, current US$)
## 721 External debt stocks (% of GNI)
## 722 Net bilateral aid flows from DAC donors, Netherlands (current US$)
## 723 Net bilateral aid flows from DAC donors, Switzerland (current US$)
## 724 Secondary income receipts (BoP, current US$)
## 725 Technical cooperation grants (BoP, current US$)
## 726 Foreign direct investment, net outflows (% of GDP)
## 727 Food production index (2014-2016 = 100)
## 728 Permanent cropland (% of land area)
## 729 Intentional homicides, male (per 100,000 male)
## 730 Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)
## 731 Agricultural raw materials exports (% of merchandise exports)
## 732 Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)
## 733 Tariff rate, applied, weighted mean, primary products (%)
## 734 Tariff rate, applied, weighted mean, manufactured products (%)
## 735 International tourism, receipts (current US$)
## 736 Population, male (% of total population)
## 737 Population ages 70-74, male (% of male population)
## 738 Population ages 45-49, male (% of male population)
## 739 Population ages 15-64, female (% of female population)
## 740 Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)
## 741 Death rate, crude (per 1,000 people)
## 742 Children in employment, wage workers, male (% of male children in employment, ages 7-14)
## 743 Unemployment with basic education, female (% of female labor force with basic education)
## 744 Labor force with intermediate education, male (% of male working-age population with intermediate education)
## 745 Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)
## 746 Children in employment, study and work (% of children in employment, ages 7-14)
## 747 Children in employment, self-employed, female (% of female children in employment, ages 7-14)
## 748 Wage and salaried workers, female (% of female employment) (modeled ILO estimate)
## 749 Employers, female (% of female employment) (modeled ILO estimate)
## 750 Survey mean consumption or income per capita, bottom 40% of population (2017 PPP $ per day)
## 751 Gini index
## 752 Out-of-pocket expenditure (% of current health expenditure)
## 753 Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)
## 754 Prevalence of wasting, weight for height (% of children under 5)
## 755 Mortality rate attributed to unintentional poisoning, female (per 100,000 female population)
## 756 People with basic handwashing facilities including soap and water (% of population)
## 757 Number of surgical procedures (per 100,000 population)
## 758 Community health workers (per 1,000 people)
## 759 Children (0-14) living with HIV
## 760 Women's share of population ages 15+ living with HIV (%)
## 761 Condom use, population ages 15-24, female (% of females ages 15-24)
## 762 Women Business and the Law Index Score (scale 1-100)
## 763 Tertiary education, academic staff (% female)
## 764 Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative)
## 765 Progression to secondary school (%)
## 766 Secondary education, general pupils
## 767 Lower secondary school starting age (years)
## 768 Repeaters, primary, male (% of male enrollment)
## 769 School enrollment, primary, female (% net)
## 770 Primary completion rate, male (% of relevant age group)
## 771 Literacy rate, adult total (% of people ages 15 and above)
## 772 Coverage of social safety net programs in richest quintile (% of population)
## 773 Coverage of social protection and labor programs (% of population)
## 774 Net primary income (Net income from abroad) (current LCU)
## 775 GNI growth (annual %)
## 776 GDP per capita (constant 2015 US$)
## 777 Gross value added at basic prices (GVA) (current LCU)
## 778 Adjusted net national income per capita (current US$)
## 779 Adjusted savings: net forest depletion (% of GNI)
## 780 Machinery and transport equipment (% of value added in manufacturing)
## 781 Financial intermediary services indirectly Measured (FISIM) (constant LCU)
## 782 Imports of goods and services (annual % growth)
## 783 Gross fixed capital formation (constant 2015 US$)
## 784 Gross national expenditure deflator (base year varies by country)
## 785 Households and NPISHs Final consumption expenditure (current LCU)
## 786 Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)
## 787 CPIA equity of public resource use rating (1=low to 6=high)
## 788 Patent applications, nonresidents
## 789 Tax payments (number)
## 790 Time required to register property (days)
## 791 Firms with female participation in ownership (% of firms)
## 792 Time to obtain an electrical connection (days)
## 793 Human Capital Index (HCI), Lower Bound (scale 0-1)
## 794 Compensation of employees (current LCU)
## 795 Taxes on exports (current LCU)
## 796 Net acquisition of financial assets (current LCU)
## 797 Real interest rate (%)
## 798 Claims on central government (annual growth as % of broad money)
## 799 Renewable internal freshwater resources per capita (cubic meters)
## 800 Population in the largest city (% of urban population)
## 801 GHG net emissions/removals by LUCF (Mt of CO2 equivalent)
## 802 Methane emissions (% change from 1990)
## 803 CO2 emissions from liquid fuel consumption (% of total)
## 804 Renewable energy consumption (% of total final energy consumption)
## 805 Access to clean fuels and technologies for cooking, urban (% of urban population)
## 806 Net ODA received (% of GNI)
## 807 Net official flows from UN agencies, UNECE (current US$)
## 808 Net financial flows, others (NFL, current US$)
## 809 IBRD loans and IDA credits (DOD, current US$)
## 810 Net ODA provided to the least developed countries (% of GNI)
## 811 Net bilateral aid flows from DAC donors, Iceland (current US$)
## 812 Net bilateral aid flows from DAC donors, Australia (current US$)
## 813 Transport services (% of service exports, BoP)
## 814 Portfolio Investment, net (BoP, current US$)
## 815 Charges for the use of intellectual property, payments (BoP, current US$)
## 816 Rural land area (sq. km)
## 817 Agricultural land (% of land area)
## 818 Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)
## 819 CPIA social protection rating (1=low to 6=high)
## 820 Trademark applications, nonresident, by count
## 821 Total tax and contribution rate (% of profit)
## 822 Cost of business start-up procedures, female (% of GNI per capita)
## 823 Firms that do not report all sales for tax purposes (% of firms)
## 824 Firms experiencing electrical outages (% of firms)
## 825 Human Capital Index (HCI), Male, Lower Bound (scale 0-1)
## 826 Goods and services expense (current LCU)
## 827 Taxes on goods and services (current LCU)
## 828 Central government debt, total (current LCU)
## 829 Claims on central government, etc. (% GDP)
## 830 Net domestic credit (current LCU)
## 831 Marine protected areas (% of territorial waters)
## 832 Population in urban agglomerations of more than 1 million (% of total population)
## 833 CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)
## 834 Agricultural nitrous oxide emissions (% of total)
## 835 CO2 emissions (kg per PPP $ of GDP)
## 836 GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)
## 837 Energy intensity level of primary energy (MJ/$2017 PPP GDP)
## 838 Net ODA received (% of imports of goods, services and primary income)
## 839 Net official flows from UN agencies, UNFPA (current US$)
## 840 PPG, official creditors (NFL, current US$)
## 841 Present value of external debt (% of exports of goods, services and primary income)
## 842 Net ODA provided, total (% of GNI)
## 843 Net bilateral aid flows from DAC donors, Japan (current US$)
## 844 Net bilateral aid flows from DAC donors, Belgium (current US$)
## 845 Foreign direct investment, net inflows (BoP, current US$)
## 846 Net secondary income (BoP, current US$)
## 847 Transport services (% of service imports, BoP)
## 848 Agricultural machinery, tractors per 100 sq. km of arable land
## 849 Arable land (hectares per person)
## 850 General government final consumption expenditure (constant 2015 US$)
## 851 Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)
## 852 Railways, passengers carried (million passenger-km)
## 853 CPIA trade rating (1=low to 6=high)
## 854 CPIA policy and institutions for environmental sustainability rating (1=low to 6=high)
## 855 Investment in transport with private participation (current US$)
## 856 Time required to start a business, male (days)
## 857 Firms offering formal training (% of firms)
## 858 Time to export, documentary compliance (hours)
## 859 Ease of doing business score (0 = lowest performance to 100 = best performance)
## 860 Other expense (current LCU)
## 861 Taxes on international trade (current LCU)
## 862 Net investment in nonfinancial assets (% of GDP)
## 863 Account ownership at a financial institution or with a mobile-money-service provider, richest 60% (% of population ages 15+)
## 864 Broad money (% of GDP)
## 865 Commercial bank branches (per 100,000 adults)
## 866 Total fisheries production (metric tons)
## 867 Fish species, threatened
## 868 PFC gas emissions (thousand metric tons of CO2 equivalent)
## 869 Other greenhouse gas emissions (% change from 1990)
## 870 Combustible renewables and waste (% of total energy)
## 871 Electricity production from oil, gas and coal sources (% of total)
## 872 Total debt service (% of GNI)
## 873 Net official flows from UN agencies, UNWTO (current US$)
## 874 PNG, commercial banks and other creditors (NFL, current US$)
## 875 Net official flows from UN agencies, FAO (current US$)
## 876 External debt stocks, long-term (DOD, current US$)
## 877 Net bilateral aid flows from DAC donors, New Zealand (current US$)
## 878 Net bilateral aid flows from DAC donors, Germany (current US$)
## 879 Personal remittances, received (current US$)
## 880 ICT service exports (% of service exports, BoP)
## 881 Personal remittances, paid (current US$)
## 882 Surface area (sq. km)
## 883 Rural land area where elevation is below 5 meters (% of total land area)
## 884 Intentional homicides (per 100,000 people)
## 885 Merchandise exports by the reporting economy, residual (% of total merchandise exports)
## 886 Food exports (% of merchandise exports)
## 887 Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)
## 888 Tariff rate, most favored nation, weighted mean, primary products (%)
## 889 Tariff rate, most favored nation, weighted mean, manufactured products (%)
## 890 International tourism, receipts (% of total exports)
## 891 Completeness of birth registration, female (%)
## 892 Population ages 75-79, female (% of female population)
## 893 Population ages 50-54, female (% of female population)
## 894 Population ages 15-64, male
## 895 Population ages 00-04, female (% of female population)
## 896 Contraceptive prevalence, any modern method (% of married women ages 15-49)
## 897 Children in employment, wage workers (% of children in employment, ages 7-14)
## 898 Unemployment with basic education, male (% of male labor force with basic education)
## 899 Labor force with intermediate education (% of total working-age population with intermediate education)
## 900 Labor force with advanced education, female (% of female working-age population with advanced education)
## 901 Average working hours of children, working only, female, ages 7-14 (hours per week)
## 902 Children in employment, self-employed, male (% of male children in employment, ages 7-14)
## 903 Wage and salaried workers, male (% of male employment) (modeled ILO estimate)
## 904 Employers, male (% of male employment) (modeled ILO estimate)
## 905 Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)
## 906 Poverty headcount ratio at $3.65 a day (2017 PPP) (% of population)
## 907 Out-of-pocket expenditure per capita (current US$)
## 908 Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure
## 909 Prevalence of severe wasting, weight for height, female (% of children under 5)
## 910 Mortality rate attributed to unintentional poisoning, male (per 100,000 male population)
## 911 Prevalence of underweight, weight for age, female (% of children under 5)
## 912 Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population)
## 913 Nurses and midwives (per 1,000 people)
## 914 Prevalence of HIV, female (% ages 15-24)
## 915 Prevalence of HIV, total (% of population ages 15-49)
## 916 Condom use, population ages 15-24, male (% of males ages 15-24)
## 917 Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)
## 918 Current education expenditure, primary (% of total expenditure in primary public institutions)
## 919 Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative)
## 920 Trained teachers in secondary education, female (% of female teachers)
## 921 Secondary education, general pupils (% female)
## 922 Lower secondary completion rate, female (% of relevant age group)
## 923 Repeaters, primary, total (% of total enrollment)
## 924 School enrollment, primary, male (% net)
## 925 Primary completion rate, total (% of relevant age group)
## 926 Compulsory education, duration (years)
## 927 Adequacy of social insurance programs (% of total welfare of beneficiary households)
## 928 Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households)
## 929 Net primary income (Net income from abroad) (constant LCU)
## 930 GNI (constant LCU)
## 931 GDP per capita growth (annual %)
## 932 Gross value added at basic prices (GVA) (constant 2015 US$)
## 933 Adjusted net national income per capita (constant 2015 US$)
## 934 Adjusted savings: consumption of fixed capital (current US$)
## 935 Other manufacturing (% of value added in manufacturing)
## 936 Industry (including construction), value added per worker (constant 2015 US$)
## 937 Commercial service exports (current US$)
## 938 Ores and metals exports (% of merchandise exports)
## 939 Merchandise imports from low- and middle-income economies within region (% of total merchandise imports)
## 940 ICT goods imports (% total goods imports)
## 941 Tariff rate, most favored nation, simple mean, all products (%)
## 942 International tourism, expenditures (current US$)
## 943 Completeness of death registration with cause-of-death information (%)
## 944 Age dependency ratio (% of working-age population)
## 945 Population ages 60-64, male (% of male population)
## 946 Population ages 20-24, male (% of male population)
## 947 Population ages 0-14, male (% of male population)
## 948 Life expectancy at birth, female (years)
## 949 International migrant stock (% of population)
## 950 Share of youth not in education, employment or training, female (% of female youth population)
## 951 Labor force, total
## 952 Labor force with basic education (% of total working-age population with basic education)
## 953 Children in employment, work only (% of children in employment, ages 7-14)
## 954 Employment in services, female (% of female employment) (modeled ILO estimate)
## 955 Contributing family workers, female (% of female employment) (modeled ILO estimate)
## 956 Female share of employment in senior and middle management (%)
## 957 Child employment in agriculture (% of economically active children ages 7-14)
## 958 Multidimensional poverty headcount ratio, female (% of female population)
## 959 Income share held by second 20%
## 960 Current health expenditure per capita (current US$)
## 961 Incidence of tuberculosis (per 100,000 people)
## 962 Prevalence of stunting, height for age, male (% of children under 5)
## 963 People practicing open defecation, rural (% of rural population)
## 964 People using at least basic sanitation services, rural (% of rural population)
## 965 Children with fever receiving antimalarial drugs (% of children under age 5 with fever)
## 966 Adults (ages 15+) and children (ages 0-14) newly infected with HIV
## 967 Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, male (%)
## 968 Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)
## 969 Women who believe a husband is justified in beating his wife when she goes out without telling him (%)
## 970 Expenditure on primary education (% of government expenditure on education)
## 971 Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative)
## 972 Trained teachers in upper secondary education, female (% of female teachers)
## 973 Secondary education, vocational pupils (% female)
## 974 Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative)
## 975 Primary education, teachers (% female)
## 976 Over-age students, primary, male (% of male enrollment)
## 977 Primary education, pupils
## 978 Preprimary education, duration (years)
## 979 Coverage of social insurance programs in 3rd quintile (% of population)
## 980 Coverage of unemployment benefits and ALMP in 3rd quintile (% of population)
## 981 Net secondary income (Net current transfers from abroad) (current LCU)
## 982 GNI per capita (constant 2015 US$)
## 983 Total natural resources rents (% of GDP)
## 984 GDP (current LCU)
## 985 Adjusted net savings, excluding particulate emission damage (% of GNI)
## 986 Adjusted savings: energy depletion (% of GNI)
## 987 Services, value added (current LCU)
## 988 Manufacturing, value added (constant LCU)
## 989 External balance on goods and services (% of GDP)
## 990 Changes in inventories (constant LCU)
## 991 Exports of goods and services (current US$)
## 992 Households and NPISHs Final consumption expenditure per capita growth (annual %)
## 993 Military expenditure (% of GDP)
## 994 Secure Internet servers (per 1 million people)
## 995 Internally displaced persons, new displacement associated with disasters (number of cases)
## 996 Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)
## 997 Medium and high-tech exports (% manufactured exports)
## 998 Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)
## 999 Tariff rate, applied, simple mean, primary products (%)
## 1000 Tariff rate, applied, simple mean, manufactured products (%)
## 1001 Unmet need for contraception (% of married women ages 15-49)
## 1002 Population, female
## 1003 Population ages 65 and above, total
## 1004 Population ages 40-44, female (% of female population)
## 1005 Population ages 15-19, female (% of female population)
## 1006 Female headed households (% of households with a female head)
## 1007 Mortality rate, adult, female (per 1,000 female adults)
## 1008 Unemployment, total (% of total labor force) (national estimate)
## 1009 Unemployment with advanced education, female (% of female labor force with advanced education)
## 1010 Labor force participation rate, total (% of total population ages 15+) (national estimate)
## 1011 Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate)
## 1012 Average working hours of children, study and work, male, ages 7-14 (hours per week)
## 1013 Child employment in manufacturing, female (% of female economically active children ages 7-14)
## 1014 Vulnerable employment, female (% of female employment) (modeled ILO estimate)
## 1015 Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)
## 1016 Poverty gap at $6.85 a day (2017 PPP) (%)
## 1017 Income share held by lowest 20%
## 1018 Domestic general government health expenditure (% of general government expenditure)
## 1019 Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)
## 1020 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population)
## 1021 Prevalence of overweight (modeled estimate, % of children under 5)
## 1022 Female genital mutilation prevalence (%)
## 1023 Prevalence of current tobacco use, males (% of male adults)
## 1024 Immunization, DPT (% of children ages 12-23 months)
## 1025 People using safely managed drinking water services, rural (% of rural population)
## 1026 Probability of dying among adolescents ages 10-14 years (per 1,000)
## 1027 Prevalence of anemia among women of reproductive age (% of women ages 15-49)
## 1028 Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)
## 1029 School enrollment, tertiary (% gross)
## 1030 Adolescents out of school, female (% of female lower secondary school age)
## 1031 School enrollment, secondary, private (% of total secondary)
## 1032 Secondary education, duration (years)
## 1033 Children out of school, primary, male
## 1034 Persistence to last grade of primary, male (% of cohort)
## 1035 Gross intake ratio in first grade of primary education, male (% of relevant age group)
## 1036 Trained teachers in preprimary education (% of total teachers)
## 1037 Literacy rate, youth total (% of people ages 15-24)
## 1038 Coverage of social safety net programs in 2nd quintile (% of population)
## 1039 PPP conversion factor, private consumption (LCU per international $)
## 1040 Gross savings (% of GNI)
## 1041 GNI (current LCU)
## 1042 Natural gas rents (% of GDP)
## 1043 Discrepancy in expenditure estimate of GDP (current LCU)
## 1044 Adjusted net national income (current US$)
## 1045 Adjusted savings: carbon dioxide damage (current US$)
## 1046 Industry (including construction), value added (% of GDP)
## 1047 Agriculture, forestry, and fishing, value added (constant LCU)
## 1048 Imports of goods and services (current US$)
## 1049 Gross fixed capital formation, private sector (% of GDP)
## 1050 Final consumption expenditure (annual % growth)
## 1051 General government final consumption expenditure (constant LCU)
## 1052 Individuals using the Internet (% of population)
## 1053 Air transport, registered carrier departures worldwide
## 1054 CPIA public sector management and institutions cluster average (1=low to 6=high)
## 1055 Trademark applications, resident, by count
## 1056 Time required to build a warehouse (days)
## 1057 Cost of business start-up procedures, male (% of GNI per capita)
## 1058 Firms visited or required meetings with tax officials (% of firms)
## 1059 Time required to get electricity (days)
## 1060 Human Capital Index (HCI), Male (scale 0-1)
## 1061 Goods and services expense (% of expense)
## 1062 Taxes on goods and services (% of revenue)
## 1063 Central government debt, total (% of GDP)
## 1064 Claims on other sectors of the domestic economy (% of GDP)
## 1065 Net foreign assets (current LCU)
## 1066 Terrestrial and marine protected areas (% of total territorial area)
## 1067 Pump price for diesel fuel (US$ per liter)
## 1068 CO2 emissions from electricity and heat production, total (% of total fuel combustion)
## 1069 Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)
## 1070 CO2 emissions (kg per 2017 PPP $ of GDP)
## 1071 Energy imports, net (% of energy use)
## 1072 Access to electricity, rural (% of rural population)
## 1073 Net ODA received per capita (current US$)
## 1074 Net official flows from UN agencies, UNIDIR (current US$)
## 1075 PPG, bonds (NFL, current US$)
## 1076 Present value of external debt (% of GNI)
## 1077 Net ODA provided, total (constant 2020 US$)
## 1078 Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)
## 1079 Net bilateral aid flows from DAC donors, Canada (current US$)
## 1080 Foreign direct investment, net inflows (% of GDP)
## 1081 Net capital account (BoP, current US$)
## 1082 Travel services (% of service imports, BoP)
## 1083 Cereal production (metric tons)
## 1084 Arable land (% of land area)
## 1085 Merchandise exports by the reporting economy (current US$)
## 1086 Fuel exports (% of merchandise exports)
## 1087 Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)
## 1088 Import unit value index (2015 = 100 )
## 1089 Binding coverage, all products (%)
## 1090 International tourism, receipts for passenger transport items (current US$)
## 1091 Completeness of birth registration, male (%)
## 1092 Population ages 75-79, male (% of male population)
## 1093 Population ages 50-54, male (% of male population)
## 1094 Population ages 15-64, male (% of male population)
## 1095 Population ages 00-04, male (% of male population)
## 1096 Contraceptive prevalence, any method (% of married women ages 15-49)
## 1097 Net migration
## 1098 Unemployment with basic education (% of total labor force with basic education)
## 1099 Part time employment, female (% of total female employment)
## 1100 Labor force with advanced education, male (% of male working-age population with advanced education)
## 1101 Children in employment, work only, female (% of female children in employment, ages 7-14)
## 1102 Children in employment, self-employed (% of children in employment, ages 7-14)
## 1103 Wage and salaried workers, total (% of total employment) (modeled ILO estimate)
## 1104 Employers, total (% of total employment) (modeled ILO estimate)
## 1105 Survey mean consumption or income per capita, total population (2017 PPP $ per day)
## 1106 Poverty gap at $3.65 a day (2017 PPP) (%)
## 1107 Out-of-pocket expenditure per capita, PPP (current international $)
## 1108 Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)
## 1109 Prevalence of severe wasting, weight for height, male (% of children under 5)
## 1110 People using safely managed sanitation services, rural (% of rural population)
## 1111 Prevalence of underweight, weight for age, male (% of children under 5)
## 1112 Mortality rate attributed to household and ambient air pollution, age-standardized, male (per 100,000 male population)
## 1113 Physicians (per 1,000 people)
## 1114 Prevalence of HIV, male (% ages 15-24)
## 1115 Mortality rate, under-5 (per 1,000 live births)
## 1116 Number of deaths ages 5-9 years
## 1117 Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)
## 1118 Current education expenditure, secondary (% of total expenditure in secondary public institutions)
## 1119 Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative)
## 1120 Trained teachers in lower secondary education, female (% of female teachers)
## 1121 Pupil-teacher ratio, lower secondary
## 1122 Lower secondary completion rate, male (% of relevant age group)
## 1123 Trained teachers in primary education, female (% of female teachers)
## 1124 Net intake rate in grade 1, female (% of official school-age population)
## 1125 Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative)
## 1126 School enrollment, primary (gross), gender parity index (GPI)
## 1127 Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits)
## 1128 Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)
## 1129 Taxes less subsidies on products (current US$)
## 1130 GNI, PPP (current international $)
## 1131 GDP per capita (constant LCU)
## 1132 Gross value added at basic prices (GVA) (constant LCU)
## 1133 Adjusted net national income per capita (annual % growth)
## 1134 Adjusted savings: consumption of fixed capital (% of GNI)
## 1135 Medium and high-tech manufacturing value added (% manufacturing value added)
## 1136 Manufacturing, value added (current US$)
## 1137 Imports of goods and services (% of GDP)
## 1138 Gross fixed capital formation (constant LCU)
## 1139 Gross national expenditure (current LCU)
## 1140 Households and NPISHs Final consumption expenditure (constant 2015 US$)
## 1141 Armed forces personnel, total
## 1142 Fixed telephone subscriptions (per 100 people)
## 1143 Internally displaced persons, total displaced by conflict and violence (number of people)
## 1144 Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)
## 1145 Export volume index (2000 = 100)
## 1146 Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)
## 1147 Tariff rate, most favored nation, simple mean, primary products (%)
## 1148 Tariff rate, most favored nation, simple mean, manufactured products (%)
## 1149 International tourism, number of arrivals
## 1150 Population, female (% of total population)
## 1151 Population ages 65 and above (% of total population)
## 1152 Population ages 40-44, male (% of male population)
## 1153 Population ages 15-19, male (% of male population)
## 1154 Women who were first married by age 15 (% of women ages 20-24)
## 1155 Mortality rate, adult, male (per 1,000 male adults)
## 1156 Unemployment, total (% of total labor force) (modeled ILO estimate)
## 1157 Unemployment with advanced education, male (% of male labor force with advanced education)
## 1158 Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)
## 1159 Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate)
## 1160 Children in employment, study and work, male (% of male children in employment, ages 7-14)
## 1161 Child employment in manufacturing, male (% of male economically active children ages 7-14)
## 1162 Vulnerable employment, male (% of male employment) (modeled ILO estimate)
## 1163 Employment to population ratio, ages 15-24, total (%) (national estimate)
## 1164 Average transaction cost of sending remittances to a specific country (%)
## 1165 Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population)
## 1166 Domestic general government health expenditure per capita (current US$)
## 1167 Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)
## 1168 Prevalence of wasting, weight for height, female (% of children under 5)
## 1169 Prevalence of overweight, weight for height (% of children under 5)
## 1170 People with basic handwashing facilities including soap and water, rural (% of rural population)
## 1171 Risk of catastrophic expenditure for surgical care (% of people at risk)
## 1172 Immunization, measles (% of children ages 12-23 months)
## 1173 People using safely managed drinking water services, urban (% of urban population)
## 1174 Probability of dying among adolescents ages 15-19 years (per 1,000)
## 1175 Prevalence of anemia among children (% of children ages 6-59 months)
## 1176 Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)
## 1177 School enrollment, tertiary, female (% gross)
## 1178 Adolescents out of school, male (% of male lower secondary school age)
## 1179 Progression to secondary school, female (%)
## 1180 Secondary education, pupils
## 1181 Children out of school, male (% of male primary school age)
## 1182 Persistence to last grade of primary, total (% of cohort)
## 1183 Gross intake ratio in first grade of primary education, total (% of relevant age group)
## 1184 Primary school starting age (years)
## 1185 Literacy rate, adult female (% of females ages 15 and above)
## 1186 Coverage of social safety net programs in 3rd quintile (% of population)
## 1187 Adequacy of social protection and labor programs (% of total welfare of beneficiary households)
## 1188 Gross savings (% of GDP)
## 1189 GNI: linked series (current LCU)
## 1190 GDP per capita (current US$)
## 1191 Discrepancy in expenditure estimate of GDP (constant LCU)
## 1192 Adjusted net national income (constant 2015 US$)
## 1193 Adjusted savings: carbon dioxide damage (% of GNI)
## 1194 Chemicals (% of value added in manufacturing)
## 1195 Agriculture, forestry, and fishing, value added (% of GDP)
## 1196 Imports of goods and services (current LCU)
## 1197 Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)
## 1198 CPIA macroeconomic management rating (1=low to 6=high)
## 1199 Industrial design applications, resident, by count
## 1200 Number of visits or required meetings with tax officials (average for affected firms)
## 1201 Strength of legal rights index (0=weak to 12=strong)
## 1202 Time required to obtain an operating license (days)
## 1203 Public credit registry coverage (% of adults)
## 1204 Human Capital Index (HCI) (scale 0-1)
## 1205 Taxes on income, profits and capital gains (% of revenue)
## 1206 Revenue, excluding grants (current LCU)
## 1207 Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
## 1208 Lending interest rate (%)
## 1209 Total reserves in months of imports
## 1210 Annual freshwater withdrawals, total (% of internal resources)
## 1211 Population living in slums (% of urban population)
## 1212 Bird species, threatened
## 1213 Energy related methane emissions (% of total)
## 1214 CO2 emissions (kt)
## 1215 Electricity production from renewable sources, excluding hydroelectric (kWh)
## 1216 Multilateral debt service (% of public and publicly guaranteed debt service)
## 1217 Net official development assistance received (current US$)
## 1218 Net official flows from UN agencies, UNHCR (current US$)
## 1219 Net financial flows, IDA (NFL, current US$)
## 1220 PPG, IBRD (DOD, current US$)
## 1221 Net bilateral aid flows from DAC donors, United States (current US$)
## 1222 Net bilateral aid flows from DAC donors, Hungary (current US$)
## 1223 Stocks traded, total value (% of GDP)
## 1224 Charges for the use of intellectual property, receipts (BoP, current US$)
## 1225 Net errors and omissions (BoP, current US$)
## 1226 Goods imports (BoP, current US$)
## 1227 Average precipitation in depth (mm per year)
## 1228 Fertilizer consumption (kilograms per hectare of arable land)
## 1229 Mobile cellular subscriptions
## 1230 Periodicity and timeliness assessment of statistical capacity (scale 0 - 100)
## 1231 CPIA gender equality rating (1=low to 6=high)
## 1232 Public private partnerships investment in transport (current US$)
## 1233 Time to prepare and pay taxes (hours)
## 1234 Time to import, border compliance (hours)
## 1235 Firms competing against unregistered firms (% of firms)
## 1236 New businesses registered (number)
## 1237 Subsidies and other transfers (current LCU)
## 1238 Tax revenue (current LCU)
## 1239 Grants and other revenue (% of revenue)
## 1240 Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+)
## 1241 Inflation, consumer prices (annual %)
## 1242 Bank liquid reserves to bank assets ratio (%)
## 1243 Annual freshwater withdrawals, industry (% of total freshwater withdrawal)
## 1244 Rural population living in areas where elevation is below 5 meters (% of total population)
## 1245 PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-3 value (% of total)
## 1246 Agricultural methane emissions (thousand metric tons of CO2 equivalent)
## 1247 CO2 emissions from gaseous fuel consumption (kt)
## 1248 Electricity production from nuclear sources (% of total)
## 1249 Public and publicly guaranteed debt service (% of GNI)
## 1250 Net official development assistance and official aid received (constant 2020 US$)
## 1251 Net financial flows, RDB nonconcessional (NFL, current US$)
## 1252 Net financial flows, IMF concessional (NFL, current US$)
## 1253 Short-term debt (% of total reserves)
## 1254 Net bilateral aid flows from DAC donors, Slovenia (current US$)
## 1255 Net bilateral aid flows from DAC donors, France (current US$)
## 1256 Market capitalization of listed domestic companies (% of GDP)
## 1257 Insurance and financial services (% of service exports, BoP)
## 1258 Net primary income (BoP, current US$)
## 1259 Primary income payments (BoP, current US$)
## 1260 Forest area (sq. km)
## 1261 Battle-related deaths (number of people)
## 1262 Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)
## 1263 Travel services (% of commercial service imports)
## 1264 Merchandise imports (current US$)
## 1265 Bound rate, simple mean, primary products (%)
## 1266 Bound rate, simple mean, manufactured products (%)
## 1267 Urban population
## 1268 Technicians in R&D (per million people)
## 1269 Population ages 65 and above, male
## 1270 Population ages 35-39, female (% of female population)
## 1271 Population ages 10-14, female (% of female population)
## 1272 Survival to age 65, male (% of cohort)
## 1273 Vitamin A supplementation coverage rate (% of children ages 6-59 months)
## 1274 Unemployment, male (% of male labor force) (national estimate)
## 1275 Unemployment, youth total (% of total labor force ages 15-24) (national estimate)
## 1276 Labor force participation rate, male (% of male population ages 15+) (national estimate)
## 1277 Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate)
## 1278 Average working hours of children, study and work, female, ages 7-14 (hours per week)
## 1279 Employment in industry, male (% of male employment) (modeled ILO estimate)
## 1280 Employment to population ratio, 15+, total (%) (national estimate)
## 1281 Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)
## 1282 Poverty headcount ratio at national poverty lines (% of population)
## 1283 Proportion of people living below 50 percent of median income (%)
## 1284 Domestic general government health expenditure (% of current health expenditure)
## 1285 Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)
## 1286 Suicide mortality rate (per 100,000 population)
## 1287 Prevalence of overweight, weight for height, female (% of children under 5)
## 1288 Low-birthweight babies (% of births)
## 1289 Prevalence of current tobacco use (% of adults)
## 1290 Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV)
## 1291 People using at least basic drinking water services, urban (% of urban population)
## 1292 Number of neonatal deaths
## 1293 Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)
## 1294 Government expenditure on education, total (% of government expenditure)
## 1295 Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative)
## 1296 Secondary education, teachers, female
## 1297 School enrollment, secondary, female (% net)
## 1298 Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative)
## 1299 Children out of school, primary, female
## 1300 Persistence to grade 5, total (% of cohort)
## 1301 School enrollment, primary, male (% gross)
## 1302 Trained teachers in preprimary education, female (% of female teachers)
## 1303 Literacy rate, youth (ages 15-24), gender parity index (GPI)
## 1304 Coverage of social safety net programs (% of population)
## 1305 PPP conversion factor, GDP (LCU per international $)
## 1306 Gross savings (current US$)
## 1307 GNI, Atlas method (current US$)
## 1308 GDP, PPP (current international $)
## 1309 GDP deflator (base year varies by country)
## 1310 Adjusted savings: net national savings (current US$)
## 1311 Adjusted savings: education expenditure (current US$)
## 1312 Industry (including construction), value added (annual % growth)
## 1313 Agriculture, forestry, and fishing, value added (constant 2015 US$)
## 1314 Gross capital formation (constant LCU)
## 1315 Exports of goods and services (% of GDP)
## 1316 Final consumption expenditure (current LCU)
## 1317 Intentional homicides, female (per 100,000 female)
## 1318 Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)
## 1319 Export unit value index (2015 = 100)
## 1320 Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)
## 1321 Share of tariff lines with specific rates, primary products (%)
## 1322 Share of tariff lines with specific rates, manufactured products (%)
## 1323 International tourism, number of departures
## 1324 Population, male
## 1325 Population ages 70-74, female (% of female population)
## 1326 Population ages 45-49, female (% of female population)
## 1327 Population ages 15-64, female
## 1328 Women who were first married by age 18 (% of women ages 20-24)
## 1329 Birth rate, crude (per 1,000 people)
## 1330 Children in employment, wage workers, female (% of female children in employment, ages 7-14)
## 1331 Unemployment with advanced education (% of total labor force with advanced education)
## 1332 Labor force with intermediate education, female (% of female working-age population with intermediate education)
## 1333 Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate)
## 1334 Average working hours of children, study and work, ages 7-14 (hours per week)
## 1335 Child employment in manufacturing (% of economically active children ages 7-14)
## 1336 Vulnerable employment, total (% of total employment) (modeled ILO estimate)
## 1337 Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)
## 1338 Average transaction cost of sending remittances from a specific country (%)
## 1339 Poverty gap at $2.15 a day (2017 PPP) (%)
## 1340 Domestic general government health expenditure per capita, PPP (current international $)
## 1341 Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure
## 1342 Prevalence of wasting, weight for height, male (% of children under 5)
## 1343 Mortality rate attributed to unintentional poisoning (per 100,000 population)
## 1344 People with basic handwashing facilities including soap and water, urban (% of urban population)
## 1345 Risk of impoverishing expenditure for surgical care (% of people at risk)
## 1346 Hospital beds (per 1,000 people)
## 1347 People using safely managed drinking water services (% of population)
## 1348 Probability of dying among youth ages 20-24 years (per 1,000)
## 1349 Prevalence of anemia among non-pregnant women (% of women ages 15-49)
## 1350 Proportion of seats held by women in national parliaments (%)
## 1351 School enrollment, tertiary, male (% gross)
## 1352 Adolescents out of school (% of lower secondary school age)
## 1353 Progression to secondary school, male (%)
## 1354 Secondary education, pupils (% female)
## 1355 Children out of school (% of primary school age)
## 1356 Repeaters, primary, female (% of female enrollment)
## 1357 School enrollment, primary (% net)
## 1358 Primary completion rate, female (% of relevant age group)
## 1359 Literacy rate, adult male (% of males ages 15 and above)
## 1360 Coverage of social safety net programs in 4th quintile (% of population)
## 1361 Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits)
## 1362 Net primary income (Net income from abroad) (current US$)
## 1363 GNI (constant 2015 US$)
## 1364 GDP per capita (current LCU)
## 1365 Gross value added at basic prices (GVA) (current US$)
## 1366 Adjusted net national income (annual % growth)
## 1367 Adjusted savings: net forest depletion (current US$)
## 1368 Food, beverages and tobacco (% of value added in manufacturing)
## 1369 Financial intermediary services indirectly Measured (FISIM) (current LCU)
## 1370 Imports of goods and services (constant 2015 US$)
## 1371 Gross fixed capital formation (current LCU)
## 1372 Final consumption expenditure (% of GDP)
## 1373 Households and NPISHs Final consumption expenditure (current US$)
## 1374 Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)
## 1375 Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)
## 1376 CPIA property rights and rule-based governance rating (1=low to 6=high)
## 1377 Patent applications, residents
## 1378 Profit tax (% of commercial profits)
## 1379 Procedures to register property (number)
## 1380 Firms formally registered when operations started (% of firms)
## 1381 Power outages in firms in a typical month (number)
## 1382 Human Capital Index (HCI), Female, Lower Bound (scale 0-1)
## 1383 Compensation of employees (% of expense)
## 1384 Taxes on exports (% of tax revenue)
## 1385 Net acquisition of financial assets (% of GDP)
## 1386 Risk premium on lending (lending rate minus treasury bill rate, %)
## 1387 Claims on other sectors of the domestic economy (annual growth as % of broad money)
## 1388 Terrestrial protected areas (% of total land area)
## 1389 Population in urban agglomerations of more than 1 million
## 1390 Droughts, floods, extreme temperatures (% of population, average 1990-2009)
## 1391 Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)
## 1392 CO2 emissions (metric tons per capita)
## 1393 GDP per unit of energy use (PPP $ per kg of oil equivalent)
## 1394 Access to clean fuels and technologies for cooking (% of population)
## 1395 Net official development assistance received (constant 2020 US$)
## 1396 Net official flows from UN agencies, UNEP (current US$)
## 1397 IFC, private nonguaranteed (NFL, current US$)
## 1398 Present value of external debt (current US$)
## 1399 Net ODA provided, total (current US$)
## 1400 Net bilateral aid flows from DAC donors, Italy (current US$)
## 1401 Net bilateral aid flows from DAC donors, Austria (current US$)
## 1402 Travel services (% of service exports, BoP)
## 1403 Reserves and related items (BoP, current US$)
## 1404 Imports of goods, services and primary income (BoP, current US$)
## 1405 Urban land area (sq. km)
## 1406 Arable land (hectares)
## 1407 Gross fixed capital formation (current US$)
## 1408 Final consumption expenditure (constant LCU)
## 1409 General government final consumption expenditure (% of GDP)
## 1410 Logistics performance index: Overall (1=low to 5=high)
## 1411 Container port traffic (TEU: 20 foot equivalent units)
## 1412 Statistical Capacity Score (Overall Average) (scale 0 - 100)
## 1413 CPIA fiscal policy rating (1=low to 6=high)
## 1414 Public private partnerships investment in ICT (current US$)
## 1415 Start-up procedures to register a business, male (number)
## 1416 Cost to import, documentary compliance (US$)
## 1417 Bribery incidence (% of firms experiencing at least one bribe payment request)
## 1418 New business density (new registrations per 1,000 people ages 15-64)
## 1419 Expense (% of GDP)
## 1420 Other taxes (% of revenue)
## 1421 Grants and other revenue (current LCU)
## 1422 Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+)
## 1423 Consumer price index (2010 = 100)
## 1424 Domestic credit to private sector by banks (% of GDP)
## 1425 Annual freshwater withdrawals, domestic (% of total freshwater withdrawal)
## 1426 Population density (people per sq. km of land area)
## 1427 PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-2 value (% of total)
## 1428 HFC gas emissions (thousand metric tons of CO2 equivalent)
## 1429 CO2 intensity (kg per kg of oil equivalent energy use)
## 1430 Electricity production from natural gas sources (% of total)
## 1431 Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$)
## 1432 Net official development assistance and official aid received (current US$)
## 1433 Net financial flows, RDB concessional (NFL, current US$)
## 1434 Net official flows from UN agencies, ILO (current US$)
## 1435 External debt stocks, short-term (DOD, current US$)
## 1436 Net bilateral aid flows from DAC donors, Slovak Republic (current US$)
## 1437 Net bilateral aid flows from DAC donors, Finland (current US$)
## 1438 Market capitalization of listed domestic companies (current US$)
## 1439 Exports of goods and services (BoP, current US$)
## 1440 Net financial account (BoP, current US$)
## 1441 Communications, computer, etc. (% of service imports, BoP)
## 1442 Land area where elevation is below 5 meters (% of total land area)
## SOURCE_NOTE
## 1 High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery.
## 2 Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars.
## 3 Computer, communications and other services (% of commercial service imports) include such activities as international telecommunications, and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaneous business, professional, and technical services; and personal, cultural, and recreational services.
## 4 Manufactures comprise the commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (nonferrous metals).
## 5 Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.
## 6 Merchandise trade as a share of GDP is the sum of merchandise exports and imports divided by the value of GDP, all in current U.S. dollars.
## 7 Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.
## 8 Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.
## 9 Male population between the ages 65 to 69 as a percentage of the total male population.
## 10 Male population between the ages 25 to 29 as a percentage of the total male population.
## 11 Population between the ages 0 to 14 as a percentage of the total population. Population is based on the de facto definition of population.
## 12 Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
## 13 The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources.
## 14 Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.
## 15 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
## 16 Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 17 Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 18 Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).
## 19 Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household.
## 20 Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
## 21 Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).
## 22 The average percentage of dimensions in which poor people are deprived
## 23 Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.
## 24 Share of current health expenditures funded from external sources. External sources compose of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. External sources either flow through the government scheme or are channeled through non-governmental organizations or other schemes.
## 25 Number of people pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure. This indicator shows the number of people living in households experiencing impoverishing out-of-pocket health expenditures, defined as expenditures without which the household they live in would have been above the $1.90 poverty line, but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
## 26 Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.
## 27 People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.
## 28 The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.
## 29 Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.
## 30 Number of young people (ages 15-24) newly infected with HIV.
## 31 Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.
## 32 Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.
## 33 Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children.
## 34 Expenditure on secondary education is expressed as a percentage of total general government expenditure on education. General government usually refers to local, regional and central governments.
## 35 The percentage of population ages 25 and over that attained or completed Master's or equivalent.
## 36 Trained teachers in upper secondary education are the percentage of upper secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 37 Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
## 38 The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
## 39 Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.
## 40 Private enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise.
## 41 Primary school pupil-teacher ratio is the average number of pupils per teacher in primary school.
## 42 Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.
## 43 Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.
## 44 Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
## 45 The terms of trade effect equals capacity to import less exports of goods and services in constant prices. Data are in constant local currency.
## 46 GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant local currency.
## 47 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in current local currency.
## 48 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2015 prices, expressed in U.S. dollars. Dollar figures for GDP are converted from domestic currencies using 2015 official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
## 49 Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production.
## 50 Particulate emissions damage is the damage due to exposure of a country's population to ambient concentrations of particulates measuring less than 2.5 microns in diameter (PM2.5), ambient ozone pollution, and indoor concentrations of PM2.5 in households cooking with solid fuels. Damages are calculated as foregone labor income due to premature death. Estimates of health impacts from the Global Burden of Disease Study 2013 are for 1990, 1995, 2000, 2005, 2010, and 2013. Data for other years have been extrapolated from trends in mortality rates.
## 51 Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. Services correspond to ISIC divisions 45-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4.
## 52 Industry (including construction) corresponds to ISIC divisions 05-43 and includes manufacturing (ISIC divisions 10-33). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Data are in current U.S. dollars.
## 53 Value added per worker is a measure of labor productivity—value added per unit of input. Value added denotes the net output of a sector after adding up all outputs and subtracting intermediate inputs. Data are in constant 2015 U.S. dollars. Agriculture corresponds to the International Standard Industrial Classification (ISIC) tabulation categories A and B (revision 3) or tabulation category A (revision 4), and includes forestry, hunting, and fishing as well as cultivation of crops and livestock production.
## 54 Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in current local currency.
## 55 Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in constant 2015 prices, expressed in U.S. dollars.
## 56 Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. Data are converted to constant 2017 international dollars using purchasing power parity rates.
## 57 Arms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Data cover major conventional weapons such as aircraft, armored vehicles, artillery, radar systems, missiles, and ships designed for military use. Excluded are transfers of other military equipment such as small arms and light weapons, trucks, small artillery, ammunition, support equipment, technology transfers, and other services. Figures are SIPRI Trend Indicator Values (TIVs) expressed in US$ m. A '0' indicates that the value of deliveries is less than US$0.5m
## 58 Lead time to export is the median time (the value for 50 percent of shipments) from shipment point to port of loading. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of shipments) and the median case (50 percent of shipments). The data are exponentiated averages of the logarithm of single value responses and of midpoint values of range responses for the median case.
## 59 Export values are the current value of exports (f.o.b.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's export value indexes are reported for most economies. For selected economies for which UNCTAD does not publish data, the export value indexes are derived from export volume indexes (line 72) and corresponding unit value indexes of exports (line 74) in the IMF's International Financial Statistics.
## 60 Insurance and financial services cover freight insurance on goods exported and other direct insurance such as life insurance; financial intermediation services such as commissions, foreign exchange transactions, and brokerage services; and auxiliary services such as financial market operational and regulatory services.
## 61 Merchandise imports by the reporting economy residuals are the total merchandise imports by the reporting economy from the rest of the world as reported in the IMF's Direction of trade database, less the sum of imports by the reporting economy from high-, low-, and middle-income economies according to the World Bank classification of economies. Includes trade with unspecified partners or with economies not covered by World Bank classification. Data are as a percentage of total merchandise imports by the economy.
## 62 Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels).
## 63 Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied.
## 64 International tourism receipts for travel items are expenditures by international inbound visitors in the reporting economy. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These receipts should include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except in cases where these are so important as to justify a separate classification. Excluded is the international carriage of travelers, which is covered in passenger travel items. Data are in current U.S. dollars.
## 65 Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
## 66 Male population between the ages 80 and above as a percentage of the total male population.
## 67 Male population between the ages 55 to 59 as a percentage of the total male population.
## 68 Total population between the ages 15 to 64 as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 69 Female population between the ages 0 to 14 as a percentage of the total female population. Population is based on the de facto definition of population.
## 70 Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.
## 71 Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant.
## 72 The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
## 73 Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.
## 74 The ratio of the labor force with basic education to the working-age population with basic education. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
## 75 Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school.
## 76 Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Services correspond to divisions 6-9 (ISIC revision 2), categories G-P (ISIC revision 3), or categories G-U (ISIC revision 4). Services include wholesale and retail trade, hotels and restaurants, transport, financial intermediation, real estate, public administration, education, health and social work, other community services, and private household activity. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
## 77 Unpaid family workers are people who work without pay in a market-oriented establishment operated by a related person living in the same household.
## 78 Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include four sub-categories of employers, own-account workers, members of producers' cooperatives, and contributing family workers.
## 79 Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Agriculture corresponds to division 1 (ISIC revision 2), categories A and B (ISIC revision 3), or category A (ISIC revision 4) and includes hunting, forestry, and fishing. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
## 80 The percentage of children who are multidimensionally poor
## 81 Current private expenditures on health per capita expressed in current US dollars. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.
## 82 Newborns protected against tetanus are the percentage of births by women of child-bearing age who are immunized against tetanus.
## 83 Tuberculosis treatment success rate is the percentage of all new tuberculosis cases (or new and relapse cases for some countries) registered under a national tuberculosis control programme in a given year that successfully completed treatment, with or without bacteriological evidence of success ("cured" and "treatment completed" respectively).
## 84 The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.
## 85 Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).
## 86 Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.
## 87 Incidence of malaria is the number of new cases of malaria in a year per 1,000 population at risk.
## 88 Number of adults (ages 15-49) newly infected with HIV.
## 89 Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.
## 90 Number of deaths of adolescents ages 15-19 years
## 91 Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him.
## 92 Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration).
## 93 The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
## 94 Trained teachers in lower secondary education are the percentage of lower secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 95 Upper secondary school pupil-teacher ratio is the average number of pupils per teacher in upper secondary school.
## 96 The percentage of population ages 25 and over that attained or completed lower secondary education.
## 97 Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 98 Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.
## 99 The percentage of population ages 25 and over that attained or completed primary education.
## 100 Gender parity index for gross enrollment ratio in secondary education is the ratio of girls to boys enrolled at secondary level in public and private schools.
## 101 Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.
## 102 Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
## 103 Taxes less subsidies on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current account made by general government to private enterprises and unincorporated public enterprises. The grants may take the form of payments to ensure a guaranteed price or to enable maintenance of prices of goods and services below costs of production, and other forms of assistance to producers. Data are in constant local currency.
## 104 GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.
## 105 GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2017 international dollars.
## 106 Mineral rents are the difference between the value of production for a stock of minerals at world prices and their total costs of production. Minerals included in the calculation are tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate.
## 107 Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage.
## 108 Mineral depletion is the ratio of the value of the stock of mineral resources to the remaining reserve lifetime (capped at 25 years). It covers tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate.
## 109 Value added per worker is a measure of labor productivity—value added per unit of input. Value added denotes the net output of a sector after adding up all outputs and subtracting intermediate inputs. Data are in constant 2015 U.S. dollars. Services corresponds to the International Standard Industrial Classification (ISIC) tabulation categories G-P (revision 3) or tabulation categories G-U (revision 4), and includes wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social and personal services.
## 110 Manufacturing refers to industries belonging to ISIC divisions 10-33. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Data are in constant 2015 prices, expressed in U.S. dollars.
## 111 External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in current local currency.
## 112 Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in current U.S. dollars.
## 113 Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data are in constant local currency.
## 114 Household and NPISHs final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. This indicator includes the expenditures of nonprofit institutions serving households even when reported separately by the country. Data are in constant local currency.
## 115 Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another).
## 116 Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.
## 117 Travel services (% of commercial service exports) covers goods and services acquired from an economy by travelers in that economy for their own use during visits of less than one year for business or personal purposes. Travel services include the goods and services consumed by travelers, such as lodging and meals and transport (within the economy visited).
## 118 Merchandise exports to low- and middle-income economies outside region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 119 Transport services (% of commercial service imports) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of goods (freight), rental of carriers with crew, and related support and auxiliary services. Excluded are freight insurance, which is included in insurance services; goods procured in ports by nonresident carriers and repairs of transport equipment, which are included in goods; repairs of railway facilities, harbors, and airfield facilities, which are included in construction services; and rental of carriers without crew, which is included in other services.
## 120 Merchandise imports from economies in the Arab World are the sum of merchandise imports by the reporting economy from economies in the Arab World. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 121 Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
## 122 Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
## 123 Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.
## 124 The number of researchers engaged in Research &Development (R&D), expressed as per million. Researchers are professionals who conduct research and improve or develop concepts, theories, models techniques instrumentation, software of operational methods. R&D covers basic research, applied research, and experimental development.
## 125 Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 126 Male population between the ages 30 to 34 as a percentage of the total male population.
## 127 Male population between the ages 5 to 9 as a percentage of the total male population.
## 128 Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.
## 129 The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.
## 130 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
## 131 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
## 132 Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.
## 133 Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 134 Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.
## 135 Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).
## 136 Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
## 137 Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
## 138 Proportion of the population that is multidimensionally poor adjusted by the intensity of the deprivations
## 139 Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.
## 140 Current external expenditures on health per capita expressed in international dollars at purchasing power parity. External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.
## 141 Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure. This indicator shows the fraction of a country’s population experiencing out-of-pocket health impoverishing expenditures, defined as expenditures without which the household they live in would have been above the $ 1.90 poverty line, but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
## 142 Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
## 143 Percentage of children under age 5 with diarrhea in the two weeks preceding the survey who received oral rehydration salts (ORS packets or pre-packaged ORS fluids).
## 144 Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.
## 145 Prevalence of anemia, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level.
## 146 Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period.
## 147 The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.
## 148 Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
## 149 Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.
## 150 Expenditure on tertiary education is expressed as a percentage of total general government expenditure on education. General government usually refers to local, regional and central governments.
## 151 The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
## 152 Secondary education teachers includes full-time and part-time teachers.
## 153 Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
## 154 The percentage of population ages 25 and over that attained or completed upper secondary education.
## 155 Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
## 156 Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.
## 157 Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
## 158 Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.
## 159 Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
## 160 Benefit incidence of social safety net programs to poorest quintile shows the percentage of total social safety net benefits received by the poorest 20% of the population. Social safety net programs include cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.
## 161 Official exchange rate refers to the exchange rate determined by national authorities or to the rate determined in the legally sanctioned exchange market. It is calculated as an annual average based on monthly averages (local currency units relative to the U.S. dollar).
## 162 GNI per capita based on purchasing power parity (PPP). PPP GNI is gross national income (GNI) converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in the United States. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant 2017 international dollars.
## 163 Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant local currency.
## 164 GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant local currency.
## 165 Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years.
## 166 Gross savings are the difference between gross national income and public and private consumption, plus net current transfers.
## 167 Services correspond to ISIC divisions 50-99 and they include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4.
## 168 Industry (including construction) corresponds to ISIC divisions 05-43 and includes manufacturing (ISIC divisions 10-33). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Data are in constant 2015 prices, expressed in U.S. dollars.
## 169 Agriculture, forestry, and fishing corresponds to ISIC divisions 1-3 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Data are in current local currency.
## 170 Annual growth rate of gross capital formation based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." According to the 2008 SNA, net acquisitions of valuables are also considered capital formation.
## 171 Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in constant local currency.
## 172 Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). Data are in current U.S. dollars.
## 173 General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. Data are in current local currency.
## 174 Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated efficiency of customs clearance processes (i.e. speed, simplicity and predictability of formalities), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.
## 175 Goods transported by railway are the volume of goods transported by railway, measured in metric tons times kilometers traveled.
## 176 The structural policies cluster includes trade, financial sector, and business regulatory environment.
## 177 The economic management cluster includes macroeconomic management, fiscal policy, and debt policy.
## 178 Transparency, accountability, and corruption in the public sector assess the extent to which the executive can be held accountable for its use of funds and for the results of its actions by the electorate and by the legislature and judiciary, and the extent to which public employees within the executive are required to account for administrative decisions, use of resources, and results obtained. The three main dimensions assessed here are the accountability of the executive to oversight institutions and of public employees for their performance, access of civil society to information on public affairs, and state capture by narrow vested interests.
## 179 Quality of budgetary and financial management assesses the extent to which there is a comprehensive and credible budget linked to policy priorities, effective financial management systems, and timely and accurate accounting and fiscal reporting, including timely and audited public accounts.
## 180 Investment in water and sanitation projects with private participation refers to commitments to infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid waste projects, and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.
## 181 Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.
## 182 Time spent dealing with the requirements of government regulations is the proportion of senior management's time, in a typical week, that is spent dealing with the requirements imposed by government regulations (e.g., taxes, customs, labor regulations, licensing and registration, including dealings with officials, and completing forms).
## 183 Firms using banks to finance working capital are the percentage of firms using bank loans to finance working capital.
## 184 Disclosure index measures the extent to which investors are protected through disclosure of ownership and financial information. The index ranges from 0 to 10, with higher values indicating more disclosure.
## 185 Other expense is spending on dividends, rent, and other miscellaneous expenses, including provision for consumption of fixed capital.
## 186 Taxes on international trade include import duties, export duties, profits of export or import monopolies, exchange profits, and exchange taxes.
## 187 Net lending (+) / net borrowing (–) equals government revenue minus expense, minus net investment in nonfinancial assets. It is also equal to the net result of transactions in financial assets and liabilities. Net lending/net borrowing is a summary measure indicating the extent to which government is either putting financial resources at the disposal of other sectors in the economy or abroad, or utilizing the financial resources generated by other sectors in the economy or from abroad.
## 188 Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (female, % age 15+).
## 189 Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.
## 190 Borrowers from commercial banks are the reported number of resident customers that are nonfinancial corporations (public and private) and households who obtained loans from commercial banks and other banks functioning as commercial banks. For many countries data cover the total number of loan accounts due to lack of information on loan account holders.
## 191 Water productivity is calculated as GDP in constant prices divided by annual total water withdrawal.
## 192 Higher plants are native vascular plant species. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.
## 193 Population-weighted exposure to ambient PM2.5 pollution is defined as the average level of exposure of a nation's population to concentrations of suspended particles measuring less than 2.5 microns in aerodynamic diameter, which are capable of penetrating deep into the respiratory tract and causing severe health damage. Exposure is calculated by weighting mean annual concentrations of PM2.5 by population in both urban and rural areas.
## 194 Total greenhouse gas emissions in kt of CO2 equivalent are composed of CO2 totals excluding short-cycle biomass burning (such as agricultural waste burning and savanna burning) but including other biomass burning (such as forest fires, post-burn decay, peat fires and decay of drained peatlands), all anthropogenic CH4 sources, N2O sources and F-gases (HFCs, PFCs and SF6).
## 195 Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants.
## 196 Sources of electricity refer to the inputs used to generate electricity. Hydropower refers to electricity produced by hydroelectric power plants.
## 197 IMF repurchases are total repayments of outstanding drawings from the General Resources Account during the year specified, excluding repayments due in the reserve tranche. IMF charges cover interest payments with respect to all uses of IMF resources, excluding those resulting from drawings in the reserve tranche. Data are in current U.S. dollars.
## 198 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 199 Public and publicly guaranteed other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars.
## 200 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 201 Private nonguaranteed external debt comprises long-term external obligations of private debtors that are not guaranteed for repayment by a public entity. Data are in current U.S. dollars.
## 202 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 203 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 204 Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees.
## 205 Communications, computer, information, and other services cover international telecommunications; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaneous business, professional, and technical services; personal, cultural, and recreational services; manufacturing services on physical inputs owned by others; and maintenance and repair services and government services not included elsewhere.
## 206 Current account balance is the sum of net exports of goods and services, net primary income, and net secondary income. Data are in current U.S. dollars.
## 207 Cereal yield, measured as kilograms per hectare of harvested land, includes wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded. The FAO allocates production data to the calendar year in which the bulk of the harvest took place. Most of a crop harvested near the end of a year will be used in the following year.
## 208 Urban land area below 5m is the total urban land area in square kilometers where the elevation is 5 meters or less.
## 209 Transport services (% of commercial service exports) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of goods (freight), rental of carriers with crew, and related support and auxiliary services. Excluded are freight insurance, which is included in insurance services; goods procured in ports by nonresident carriers and repairs of transport equipment, which are included in goods; repairs of railway facilities, harbors, and airfield facilities, which are included in construction services; and rental of carriers without crew, which is included in other services.
## 210 Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 211 Commercial service imports are total service imports minus imports of government services not included elsewhere. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) as the economic output of intangible commodities that may be produced, transferred, and consumed at the same time. Definitions may vary among reporting economies.
## 212 Ores and metals comprise commodities in SITC sections 27 (crude fertilizer, minerals nes); 28 (metalliferous ores, scrap); and 68 (non-ferrous metals).
## 213 Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database.
## 214 Import volume indexes are derived from UNCTAD's volume index series and are the ratio of the import value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year’s trade values as weights. For economies for which UNCTAD does not publish data, the import volume indexes (lines 73) in the IMF's International Financial Statistics are used.
## 215 Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.
## 216 Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 217 Female population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 218 Female population between the ages 30 to 34 as a percentage of the total female population.
## 219 Female population between the ages 5 to 9 as a percentage of the total female population.
## 220 Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.
## 221 Percentage of households which have salt they used for cooking that tested positive (>0ppm) for presence of iodine.
## 222 Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
## 223 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
## 224 Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.
## 225 Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 226 Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.
## 227 GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2017 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.
## 228 Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
## 229 Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).
## 230 The percentage of male population who are multidimensionally poor
## 231 Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.
## 232 Current external expenditures on health per capita expressed in current US dollars. External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.
## 233 Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, as a percentage of the $1.90 poverty line. The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending.
## 234 Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
## 235 Children with diarrhea who received oral rehydration and continued feeding refer to the percentage of children under age five with diarrhea in the two weeks prior to the survey who received either oral rehydration therapy or increased fluids, with continued feeding.
## 236 Exclusive breastfeeding refers to the percentage of children less than six months old who are fed breast milk alone (no other liquids) in the past 24 hours.
## 237 Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.
## 238 Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.
## 239 Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods.
## 240 Number of children dying before reaching age five.
## 241 Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him.
## 242 Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
## 243 The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
## 244 Trained teachers in secondary education are the percentage of secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 245 Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
## 246 The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
## 247 Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.
## 248 Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.
## 249 Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
## 250 Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.
## 251 Real effective exchange rate is the nominal effective exchange rate (a measure of the value of a currency against a weighted average of several foreign currencies) divided by a price deflator or index of costs.
## 252 Adequacy of social safety net programs is measured by the total transfer amount received by the population participating in social safety net programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Social safety net programs include cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.
## 253 The DEC alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method. As a rule, it is the official exchange rate reported in the IMF's International Financial Statistics (line rf). Exceptions arise where further refinements are made by World Bank staff. It is expressed in local currency units per U.S. dollar.
## 254 This indicator provides per capita values for gross national income (GNI. Formerly GNP) expressed in current international dollars converted by purchasing power parity (PPP) conversion factor. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. PPP conversion factor is a spatial price deflator and currency converter that eliminates the effects of the differences in price levels between countries.
## 255 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption).
## 256 Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.
## 257 Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.
## 258 Natural resource depletion is the sum of net forest depletion, energy depletion, and mineral depletion. Net forest depletion is unit resource rents times the excess of roundwood harvest over natural growth. Energy depletion is the ratio of the value of the stock of energy resources to the remaining reserve lifetime (capped at 25 years). It covers coal, crude oil, and natural gas. Mineral depletion is the ratio of the value of the stock of mineral resources to the remaining reserve lifetime (capped at 25 years). It covers tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate.
## 259 Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges and import duties. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in constant local currency.
## 260 Industry (including construction) corresponds to ISIC divisions 05-43 and includes manufacturing (ISIC divisions 10-33). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Data are in current local currency.
## 261 Agriculture, forestry, and fishing corresponds to ISIC divisions 1-3 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Data are in current U.S. dollars.
## 262 Computer, communications and other services (% of commercial service exports) include such activities as international telecommunications, and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaneous business, professional, and technical services; and personal, cultural, and recreational services.
## 263 Manufactures comprise commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (non-ferrous metals).
## 264 Merchandise imports by the reporting economy are the total merchandise imports by the reporting economy from the rest of the world, as reported in the IMF's Direction of trade database. Data are in current U.S. dollars.
## 265 Fuels comprise the commodities in SITC section 3 (mineral fuels, lubricants and related materials).
## 266 Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs.
## 267 International tourism expenditures are expenditures of international outbound visitors in other countries. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These may include expenditures by residents traveling abroad as same-day visitors, except in cases where these are so important as to justify a separate classification. Excluded is the international carriage of travelers, which is covered in passenger travel items. Data are in current U.S. dollars.
## 268 Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
## 269 Sex ratio at birth refers to male births per female births. The data are 5 year averages.
## 270 Female population between the ages 60 to 64 as a percentage of the total female population.
## 271 Female population between the ages 20 to 24 as a percentage of the total female population.
## 272 Male population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 273 Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.
## 274 International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.
## 275 The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
## 276 Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period.
## 277 The ratio of the labor force with basic education to the working-age population with basic education. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
## 278 Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school.
## 279 Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Services correspond to divisions 6-9 (ISIC revision 2), categories G-P (ISIC revision 3), or categories G-U (ISIC revision 4). Services include wholesale and retail trade, hotels and restaurants, transport, financial intermediation, real estate, public administration, education, health and social work, other community services, and private household activity. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
## 280 Unpaid family workers are people who work without pay in a market-oriented establishment operated by a related person living in the same household.
## 281 Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include four sub-categories of employers, own-account workers, members of producers' cooperatives, and contributing family workers.
## 282 Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Agriculture corresponds to division 1 (ISIC revision 2), categories A and B (ISIC revision 3), or category A (ISIC revision 4) and includes hunting, forestry, and fishing. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
## 283 Proportion of the child population that is multidimensionally poor adjusted by the intensity of the deprivations
## 284 Current private expenditures on health per capita expressed in international dollars at purchasing power parity.
## 285 Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.
## 286 Tuberculosis case detection rate (all forms) is the number of new and relapse tuberculosis cases notified to WHO in a given year, divided by WHO's estimate of the number of incident tuberculosis cases for the same year, expressed as a percentage. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.
## 287 Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.
## 288 Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.
## 289 Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, dispensary, village health worker, clinic, and private physician.
## 290 Use of insecticide-treated bed nets refers to the percentage of children under age five who slept under an insecticide-treated bednet to prevent malaria.
## 291 Number of children (ages 0-14) newly infected with HIV.
## 292 Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).
## 293 Number of deaths of youths ages 20-24 years
## 294 Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food.
## 295 Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
## 296 The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
## 297 Trained teachers in secondary education are the percentage of secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 298 Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training.
## 299 The percentage of population ages 25 and over that attained or completed lower secondary education.
## 300 Primary education teachers includes full-time and part-time teachers.
## 301 Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education.
## 302 Primary duration refers to the number of grades (years) in primary school.
## 303 Gender parity index for gross enrollment ratio in tertiary education is the ratio of women to men enrolled at tertiary level in public and private schools.
## 304 Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.
## 305 Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
## 306 Net secondary income (from abroad) comprises transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net secondary income is equal to the unrequited transfers of income from nonresidents to residents minus the unrequited transfers from residents to nonresidents. Data are in current U.S. dollars.
## 307 GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current local currency.
## 308 Oil rents are the difference between the value of crude oil production at regional prices and total costs of production.
## 309 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
## 310 Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage.
## 311 Energy depletion is the ratio of the value of the stock of energy resources to the remaining reserve lifetime (capped at 25 years). It covers coal, crude oil, and natural gas.
## 312 Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges and import duties. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current U.S. dollars.
## 313 Annual growth rate for manufacturing value added based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. Manufacturing refers to industries belonging to ISIC divisions 10-33. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4.
## 314 External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in constant local currency.
## 315 Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in current local currency.
## 316 Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment).
## 317 Household final consumption expenditure per capita (private consumption per capita) is calculated using private consumption in constant 2015 prices and World Bank population estimates. Household final consumption expenditure is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. Data are in constant 2015 U.S. dollars.
## 318 Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.)
## 319 The number of distinct, publicly-trusted TLS/SSL certificates found in the Netcraft Secure Server Survey.
## 320 Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "New Displacement" refers to the number of new cases or incidents of displacement recorded over the specified year, rather than the number of people displaced. This is done because people may have been displaced more than once.
## 321 Merchandise exports to low- and middle-income economies in Europe and Central Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Europe and Central Asia region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 322 Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights.
## 323 Merchandise imports from high-income economies are the sum of merchandise imports by the reporting economy from high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 324 Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
## 325 Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
## 326 Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.
## 327 Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.
## 328 Male population 65 years of age or older as a percentage of the total male population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 329 Male population between the ages 35 to 39 as a percentage of the total male population.
## 330 Male population between the ages 10 to 14 as a percentage of the total male population.
## 331 Wanted fertility rate is an estimate of what the total fertility rate would be if all unwanted births were avoided.
## 332 Adolescent fertility rate is the number of births per 1,000 women ages 15-19.
## 333 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
## 334 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
## 335 Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 336 Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 337 Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity.
## 338 Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).
## 339 Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
## 340 Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
## 341 Poverty headcount ratio at $6.85 a day is the percentage of the population living on less than $6.85 a day at 2017 international prices.
## 342 Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.
## 343 Public expenditure on health from domestic sources as a share of the economy as measured by GDP.
## 344 Number of people pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure. This indicator shows the number of households experiencing impoverishing out-of-pocket health expenditures, defined as expenditures without which the household would have been above the $3.20 poverty line, but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
## 345 Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.
## 346 Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.
## 347 Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes. It is calculated by adjusting to a standard population age-structure.
## 348 The percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.
## 349 Child immunization rate, hepatitis B is the percentage of children ages 12-23 months who received hepatitis B vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized after three doses.
## 350 The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.
## 351 Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.
## 352 Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.
## 353 General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.
## 354 Tertiary school pupil-teacher ratio is the average number of pupils per teacher in tertiary school.
## 355 Female teachers as a percentage of total secondary education teachers includes full-time and part-time teachers.
## 356 Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
## 357 The percentage of population ages 25 and over that attained or completed upper secondary education.
## 358 Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.
## 359 Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.
## 360 Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.
## 361 Trained teachers in preprimary education are the percentage of preprimary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 362 Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
## 363 Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.
## 364 Price level ratio is the ratio of a purchasing power parity (PPP) conversion factor to an exchange rate. It provides a measure of the differences in price levels between countries by indicating the number of units of the common currency needed to buy the same volume of the aggregation level in each country. At the level of GDP, they provide a measure of the differences in the general price levels of countries.
## 365 Gross savings are calculated as gross national income less total consumption, plus net transfers. Data are in current local currency.
## 366 GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars.
## 367 PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2017 international dollars.
## 368 The GDP implicit deflator is calculated as the ratio of GDP in current local currency to GDP in constant local currency. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. The base year varies by country.
## 369 Net national savings are equal to gross national savings less the value of consumption of fixed capital.
## 370 Education expenditure refers to the current operating expenditures in education, including wages and salaries and excluding capital investments in buildings and equipment.
## 371 Industry (including construction) corresponds to ISIC divisions 05-43 and includes manufacturing (ISIC divisions 10-33). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Data are in constant local currency.
## 372 Annual growth rate for agricultural, forestry, and fishing value added based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. Agriculture corresponds to ISIC divisions 01-03 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4.
## 373 Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." According to the 1993 SNA, net acquisitions of valuables are also considered capital formation.
## 374 Private investment covers gross outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets.
## 375 Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). Data are in constant 2015 prices, expressed in U.S. dollars.
## 376 Annual percentage growth of general government final consumption expenditure based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. General government final consumption expenditure (general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation.
## 377 Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents assessed the ease of arranging competitively priced shipments to markets, on a rating ranging from 1 (very difficult) to 5 (very easy). Scores are averaged across all respondents.
## 378 Rail lines are the length of railway route available for train service, irrespective of the number of parallel tracks.
## 379 Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the ability to track and trace consignments when shipping to the market, on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.
## 380 Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.
## 381 The source data indicator reflects whether a country conducts data collection activities in line with internationally recommended periodicity, and whether data from administrative systems are available. The source data score is calculated as the weighted average of 5 underlying indicator scores. The final source data score contributes 1/3 of the overall Statistical Capacity Indicator score.
## 382 Building human resources assesses the national policies and public and private sector service delivery that affect the access to and quality of health and education services, including prevention and treatment of HIV/AIDS, tuberculosis, and malaria.
## 383 Public Private Partnerships in water and sanitation (current US$) refers to commitments to infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid waste projects, and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.
## 384 Firms expected to give gifts in meetings with tax officials is the percentage of firms that answered positively to the question "was a gift or informal payment expected or requested during a meeting with tax officials?"
## 385 Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study.
## 386 Informal payments to public officials are the percentage of firms expected to make informal payments to public officials to "get things done" with regard to customs, taxes, licenses, regulations, services, and the like.
## 387 Depth of credit information index measures rules affecting the scope, accessibility, and quality of credit information available through public or private credit registries. The index ranges from 0 to 8, with higher values indicating the availability of more credit information, from either a public registry or a private bureau, to facilitate lending decisions.
## 388 Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, social assistance benefits, and employer social benefits in cash and in kind.
## 389 Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue.
## 390 Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes operated by governments.
## 391 Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (secondary education or more, % of population ages 15+).
## 392 Wholesale price index refers to a mix of agricultural and industrial goods at various stages of production and distribution, including import duties. The Laspeyres formula is generally used.
## 393 Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (December 31) London prices. Data are in current U.S. dollars.
## 394 The level of water stress: freshwater withdrawal as a proportion of available freshwater resources is the ratio between total freshwater withdrawn by all major sectors and total renewable freshwater resources, after taking into account environmental water requirements. Main sectors, as defined by ISIC standards, include agriculture; forestry and fishing; manufacturing; electricity industry; and services. This indicator is also known as water withdrawal intensity.
## 395 Urban population below 5m is the percentage of the total population, living in areas where the elevation is 5 meters or less.
## 396 Percent of population exposed to ambient concentrations of PM2.5 that exceed the WHO guideline value is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 10 micrograms per cubic meter, the guideline value recommended by the World Health Organization as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed.
## 397 Agricultural methane emissions are emissions from animals, animal waste, rice production, agricultural waste burning (nonenergy, on-site), and savanna burning.
## 398 Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of natural gas as an energy source.
## 399 Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products.
## 400 Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. Exports refer to exports of goods, services, and income.
## 401 Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. Data are in current U.S. dollars.
## 402 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 403 Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IMF is the International Monetary Fund, which provides nonconcessional lending through the credit it provides to its members, mainly to meet balance of payments needs. Data are in current U.S. dollars.
## 404 Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt.
## 405 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 406 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 407 Listed domestic companies, including foreign companies which are exclusively listed, are those which have shares listed on an exchange at the end of the year. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies, such as holding companies and investment companies, regardless of their legal status, are excluded. A company with several classes of shares is counted once. Only companies admitted to listing on the exchange are included.
## 408 Goods exports refer to all movable goods (including nonmonetary gold and net exports of goods under merchanting) involved in a change of ownership from residents to nonresidents. Data are in current U.S. dollars.
## 409 Net trade in goods and services is derived by offsetting imports of goods and services against exports of goods and services. Exports and imports of goods and services comprise all transactions involving a change of ownership of goods and services between residents of one country and the rest of the world. Data are in current U.S. dollars.
## 410 Imports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from nonresidents to residents of general merchandise, nonmonetary gold, and services. Data are in current U.S. dollars.
## 411 Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.
## 412 Agricultural machinery refers to the number of wheel and crawler tractors (excluding garden tractors) in use in agriculture at the end of the calendar year specified or during the first quarter of the following year.
## 413 Air freight is the volume of freight, express, and diplomatic bags carried on each flight stage (operation of an aircraft from takeoff to its next landing), measured in metric tons times kilometers traveled.
## 414 Efficiency of revenue mobilization assesses the overall pattern of revenue mobilization--not only the de facto tax structure, but also revenue from all sources as actually collected.
## 415 Business regulatory environment assesses the extent to which the legal, regulatory, and policy environments help or hinder private businesses in investing, creating jobs, and becoming more productive.
## 416 Number of procedures to build a warehouse is the number of interactions of a company's employees or managers with external parties, including government agency staff, public inspectors, notaries, land registry and cadastre staff, and technical experts apart from architects and engineers.
## 417 Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.
## 418 Average losses due to electrical outages, as percentage of total annual sales. The value represents average losses for all firms which reported outages (please see indicator IC.ELC.OUTG.ZS).
## 419 Border compliance captures the time and cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. The time and cost for this segment include time and cost for customs clearance and inspection procedures conducted by other government agencies.
## 420 The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.
## 421 Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents.
## 422 Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal monopolies.
## 423 Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of liabilities should be offset by the net acquisition of financial assets.
## 424 Domestic credit provided by the financial sector includes all credit to various sectors on a gross basis, with the exception of credit to the central government, which is net. The financial sector includes monetary authorities and deposit money banks, as well as other financial corporations where data are available (including corporations that do not accept transferable deposits but do incur such liabilities as time and savings deposits). Examples of other financial corporations are finance and leasing companies, money lenders, insurance corporations, pension funds, and foreign exchange companies.
## 425 Domestic credit to private sector refers to financial resources provided to the private sector, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises.
## 426 Bank nonperforming loans to total gross loans are the value of nonperforming loans divided by the total value of the loan portfolio (including nonperforming loans before the deduction of specific loan-loss provisions). The loan amount recorded as nonperforming should be the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.
## 427 Fuel prices refer to the pump prices of the most widely sold grade of gasoline. Prices have been converted from the local currency to U.S. dollars.
## 428 CO2 emissions from manufacturing industries and construction contains the emissions from combustion of fuels in industry. The IPCC Source/Sink Category 1 A 2 includes these emissions. However, in the 1996 IPCC Guidelines, the IPCC category also includes emissions from industry autoproducers that generate electricity and/or heat. The IEA data are not collected in a way that allows the energy consumption to be split by specific end-use and therefore, autoproducers are shown as a separate item (Unallocated Autoproducers). Manufacturing industries and construction also includes emissions from coke inputs into blast furnaces, which may be reported either in the transformation sector, the industry sector or the separate IPCC Source/Sink Category 2, Industrial Processes.
## 429 Nitrous oxide emissions from energy processes are emissions produced by the combustion of fossil fuels and biofuels.
## 430 Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source.
## 431 Clean energy is noncarbohydrate energy that does not produce carbon dioxide when generated. It includes hydropower and nuclear, geothermal, and solar power, among others.
## 432 Access to electricity, urban is the percentage of urban population with access to electricity.
## 433 Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent).
## 434 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 435 Public and publicly guaranteed commercial bank loans from private banks and other private financial institutions. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars.
## 436 Bilateral debt includes loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars.
## 437 Total external debt is debt owed to nonresidents repayable in currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Data are in current U.S. dollars.
## 438 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 439 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 440 Portfolio equity includes net inflows from equity securities other than those recorded as direct investment and including shares, stocks, depository receipts (American or global), and direct purchases of shares in local stock markets by foreign investors. Data are in current U.S. dollars.
## 441 Grants are defined as legally binding commitments that obligate a specific value of funds available for disbursement for which there is no repayment requirement. Data are in current U.S. dollars.
## 442 Foreign direct investment refers to direct investment equity flows in an economy. It is the sum of equity capital, reinvestment of earnings, and other capital. Direct investment is a category of cross-border investment associated with a resident in one economy having control or a significant degree of influence on the management of an enterprise that is resident in another economy. Ownership of 10 percent or more of the ordinary shares of voting stock is the criterion for determining the existence of a direct investment relationship. This series shows net outflows of investment from the reporting economy to the rest of the world. Data are in current U.S. dollars.
## 443 Crop production index shows agricultural production for each year relative to the base period 2014-2016. It includes all crops except fodder crops. Regional and income group aggregates for the FAO's production indexes are calculated from the underlying values in international dollars, normalized to the base period 2014-2016.
## 444 Land under cereal production refers to harvested area, although some countries report only sown or cultivated area. Cereals include wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded.
## 445 Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in constant local currency.
## 446 Average annual growth of gross fixed capital formation based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 2008 SNA, net acquisitions of valuables are also considered capital formation.
## 447 Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data are in current U.S. dollars.
## 448 Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. Data are in local currency, at current prices.
## 449 Arms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Data cover major conventional weapons such as aircraft, armored vehicles, artillery, radar systems, missiles, and ships designed for military use. Excluded are transfers of other military equipment such as small arms and light weapons, trucks, small artillery, ammunition, support equipment, technology transfers, and other services. Figures are SIPRI Trend Indicator Values (TIVs) expressed in US$ m. A '0' indicates that the value of deliveries is less than US$0.5m.
## 450 Fixed telephone subscriptions refers to the sum of active number of analogue fixed telephone lines, voice-over-IP (VoIP) subscriptions, fixed wireless local loop (WLL) subscriptions, ISDN voice-channel equivalents and fixed public payphones.
## 451 The SPI overall score is a composite score measuing country performance across five pillars: data use, data services, data products, data sources, and data infrastructure. The new Statistical Performance Indicators (SPI) will replace the Statistical Capacity Index (SCI), which the World Bank has regularly published since 2004. Although the goals are the same, to offer a better tool to measure the statistical systems of countries, the new SPI framework has expanded into new areas including in the areas of data use, administrative data, geospatial data, data services, and data infrastructure. The SPI provides a framework that can help countries measure where they stand in several dimensions and offers an ambitious measurement agenda for the international community.
## 452 IDA Resource Allocation Index is obtained by calculating the average score for each cluster and then by averaging those scores. For each of 16 criteria countries are rated on a scale of 1 (low) to 6 (high).
## 453 Industrial design applications are applications to register an industrial design with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Hague System. Industrial designs are applied to a wide variety of industrial products and handicrafts. They refer to the ornamental or aesthetic aspects of a useful article, including compositions of lines or colors or any three-dimensional forms that give a special appearance to a product or handicraft. The holder of a registered industrial design has exclusive rights against unauthorized copying or imitation of the design by third parties. Industrial design registrations are valid for a limited period. The term of protection is usually 15 years for most jurisdictions. However, differences in legislation do exist, notably in China (which provides for a 10-year term from the application date). Non-resident application refers to an application filed with the IP office of or acting on behalf of a state or jurisdiction in which the first-named applicant in the application is not domiciled. Design count is used to render application data for industrial applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system.
## 454 Labor tax and contributions is the amount of taxes and mandatory contributions on labor paid by the business.
## 455 Time to resolve insolvency is the number of years from the filing for insolvency in court until the resolution of distressed assets.
## 456 Average losses as a result of theft, robbery, vandalism or arson that occurred on the establishment’s premises calculated as a percentage of annual sales. The value represents the average losses for all firms which reported losses (please see indicator IC.FRM.THEV.ZS).
## 457 Private credit bureau coverage reports the number of individuals or firms listed by a private credit bureau with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population.
## 458 Primary government expenditures as a proportion of original approved budget measures the extent to which aggregate budget expenditure outturn reflects the amount originally approved, as defined in government budget documentation and fiscal reports. The coverage is budgetary central government (BCG) and the time period covered is the last three completed fiscal years.
## 459 Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragovernmental payments are eliminated in consolidation.
## 460 Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes operated by governments.
## 461 Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (young adults, % of population ages 15-24).
## 462 Deposit interest rate is the rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability.
## 463 International reserves to total external debt stocks.
## 464 Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including withdrawals for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002.
## 465 Population below 5m is the percentage of the total population living in areas where the elevation is 5 meters or less.
## 466 Sulfur hexafluoride is used largely to insulate high-voltage electric power equipment.
## 467 Methane emissions from energy processes are emissions from the production, handling, transmission, and combustion of fossil fuels and biofuels.
## 468 Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.
## 469 Renewable electricity is the share of electrity generated by renewable power plants in total electricity generated by all types of plants.
## 470 Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Debt service payments are the sum of principal repayments and interest payments actually made in the year specified. Data are in current U.S. dollars.
## 471 Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. Data are in constant 2020 U.S. dollars.
## 472 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 473 Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IBRD is the International Bank for Reconstruction and Development, the founding and largest member of the World Bank Group. Data are in current U.S. dollars.
## 474 Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Total external debt is debt owed to nonresidents repayable in currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt.
## 475 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 476 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 477 The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.
## 478 Services refer to economic output of intangible commodities that may be produced, transferred, and consumed at the same time. Data are in current U.S. dollars.
## 479 Net trade in goods is the difference between exports and imports of goods. Trade in services is not included. Data are in current U.S. dollars.
## 480 Insurance and financial services cover various types of insurance provided to nonresidents by resident insurance enterprises and vice versa, and financial intermediary and auxiliary services (except those of insurance enterprises and pension funds) exchanged between residents and nonresidents.
## 481 Agricultural irrigated land refers to agricultural areas purposely provided with water, including land irrigated by controlled flooding.
## 482 Fertilizer consumption measures the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including ground rock phosphate). Traditional nutrients--animal and plant manures--are not included. For the purpose of data dissemination, FAO has adopted the concept of a calendar year (January to December). Some countries compile fertilizer data on a calendar year basis, while others are on a split-year basis.
## 483 Merchandise exports to low- and middle-income economies within region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in the same World Bank region as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. No figures are shown for high-income economies, because they are a separate category in the World Bank classification of economies.
## 484 Information and communication technology goods exports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous).
## 485 Merchandise imports from low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Sub-Saharan Africa region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 486 Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap).
## 487 Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable.
## 488 International tourism expenditures for passenger transport items are expenditures of international outbound visitors in other countries for all services provided during international transportation by nonresident carriers. Also included are passenger services performed within an economy by nonresident carriers. Excluded are passenger services provided to nonresidents by resident carriers within the resident economies; these are included in travel items. In addition to the services covered by passenger fares--including fares that are a part of package tours but excluding cruise fares, which are included in travel--passenger services include such items as charges for excess baggage, vehicles, or other personal accompanying effects and expenditures for food, drink, or other items for which passengers make expenditures while on board carriers. Data are in current U.S. dollars.
## 489 Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
## 490 Female population between the ages 80 and above as a percentage of the total female population.
## 491 Female population between the ages 55 to 59 as a percentage of the total female population.
## 492 Total population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 493 Female population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 494 Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.
## 495 Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.
## 496 The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
## 497 Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.
## 498 The ratio of the labor force with advanced education to the working-age population with advanced education. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
## 499 Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school.
## 500 Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Services correspond to divisions 6-9 (ISIC revision 2), categories G-P (ISIC revision 3), or categories G-U (ISIC revision 4). Services include wholesale and retail trade, hotels and restaurants, transport, financial intermediation, real estate, public administration, education, health and social work, other community services, and private household activity. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
## 501 Unpaid family workers are people who work without pay in a market-oriented establishment operated by a related person living in the same household.
## 502 Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include four sub-categories of employers, own-account workers, members of producers' cooperatives, and contributing family workers.
## 503 The growth rate in the welfare aggregate of the total population is computed as the annualized average growth rate in per capita real consumption or income of the total population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2017 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2017 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.
## 504 The percentage of people who are multidimensionally poor
## 505 Share of current health expenditures funded from domestic private sources. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.
## 506 Coverage index for essential health services (based on tracer interventions that include reproductive, maternal, newborn and child health, infectious diseases, noncommunicable diseases and service capacity and access). It is presented on a scale of 0 to 100.
## 507 Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.
## 508 The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.
## 509 Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's child growth standards released in 2006.
## 510 Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
## 511 Specialist surgical workforce is the number of specialist surgical, anaesthetic, and obstetric (SAO) providers who are working in each country per 100,000 population.
## 512 Antiretroviral therapy coverage indicates the percentage of all people living with HIV who are receiving antiretroviral therapy.
## 513 Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.
## 514 Number of deaths of adolescents ages 10-14 years
## 515 Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women age 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
## 516 Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration).
## 517 The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
## 518 Trained teachers in lower secondary education are the percentage of lower secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 519 Secondary school pupil-teacher ratio is the average number of pupils per teacher in secondary school.
## 520 Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.
## 521 Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 522 Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.
## 523 The percentage of population ages 25 and over that attained or completed primary education.
## 524 Gender parity index for gross enrollment ratio in primary and secondary education is the ratio of girls to boys enrolled at primary and secondary levels in public and private schools.
## 525 Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.
## 526 Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
## 527 Taxes less subsidies on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current account made by general government to private enterprises and unincorporated public enterprises. The grants may take the form of payments to ensure a guaranteed price or to enable maintenance of prices of goods and services below costs of production, and other forms of assistance to producers. Data are in current local currency.
## 528 PPP GNI (formerly PPP GNP) is gross national income (GNI) converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in the United States. Gross national income is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant 2017 international dollars.
## 529 This indicator provides per capita values for gross domestic product (GDP) expressed in current international dollars converted by purchasing power parity (PPP) conversion factor. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. conversion factor is a spatial price deflator and currency converter that controls for price level differences between countries. Total population is a mid-year population based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 530 Forest rents are roundwood harvest times the product of regional prices and a regional rental rate.
## 531 Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage.
## 532 Mineral depletion is the ratio of the value of the stock of mineral resources to the remaining reserve lifetime (capped at 25 years). It covers tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate.
## 533 Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Textiles and clothing correspond to ISIC divisions 17-19.
## 534 Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current local currency.
## 535 External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in current U.S. dollars.
## 536 Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 1993 SNA, net acquisitions of valuables are also considered capital formation.
## 537 Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data are in constant 2015 prices, expressed in U.S. dollars.
## 538 High-technology exports are products with high R&D intensity, such as aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery. Data are in current U.S. dollars.
## 539 Merchandise exports to economies in the Arab World are the sum of merchandise exports by the reporting economy to economies in the Arab World. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 540 Import value indexes are the current value of imports (c.i.f.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's import value indexes are reported for most economies. For selected economies for which UNCTAD does not publish data, the import value indexes are derived from import volume indexes (line 73) and corresponding unit value indexes of imports (line 75) in the IMF's International Financial Statistics.
## 541 Insurance and financial services cover freight insurance on goods imported and other direct insurance such as life insurance; financial intermediation services such as commissions, foreign exchange transactions, and brokerage services; and auxiliary services such as financial market operational and regulatory services.
## 542 Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures.
## 543 International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day visitors, except in cases where these are important enough to justify separate classification. For some countries they do not include expenditures for passenger transport items. Their share in imports is calculated as a ratio to imports of goods and services, which comprise all transactions between residents of a country and the rest of the world involving a change of ownership from nonresidents to residents of general merchandise, goods sent for processing and repairs, nonmonetary gold, and services.
## 544 Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.
## 545 Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.
## 546 Female population between the ages 65 to 69 as a percentage of the total female population.
## 547 Female population between the ages 25 to 29 as a percentage of the total female population.
## 548 Total population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 549 Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
## 550 Prevalence of undernourishments is the percentage of the population whose habitual food consumption is insufficient to provide the dietary energy levels that are required to maintain a normal active and healthy life. Data showing as 2.5 may signify a prevalence of undernourishment below 2.5%.
## 551 Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.
## 552 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
## 553 Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 554 Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.
## 555 Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).
## 556 Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household.
## 557 Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
## 558 Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).
## 559 The percentage of households who are multidimensionally poor
## 560 Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.
## 561 Current expenditures on health per capita expressed in international dollars at purchasing power parity.
## 562 Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, expressed in US dollars (2011 PPP). The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending.
## 563 Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.
## 564 People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.
## 565 The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.
## 566 A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.
## 567 Number of new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period.
## 568 Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).
## 569 Number of infants dying before reaching one year of age.
## 570 Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children.
## 571 Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
## 572 The percentage of population ages 25 and over that attained or completed Master's or equivalent.
## 573 Trained teachers in upper secondary education are the percentage of upper secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 574 Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
## 575 The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
## 576 Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.
## 577 Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education.
## 578 Female pupils as a percentage of total pupils at primary level include enrollments in public and private schools.
## 579 Preprimary school pupil-teacher ratio is the average number of pupils per teacher in preprimary school.
## 580 Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.
## 581 Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
## 582 Net secondary income comprises transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents to residents minus the unrequited transfers from residents to nonresidents. Data are in constant local currency.
## 583 Annual percentage growth rate of GNI per capita based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad.
## 584 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in current U.S. dollars.
## 585 GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. Data are in current local currency.
## 586 Exports as a capacity to import equals the current price value of exports of goods and services deflated by the import price index. Data are in constant local currency.
## 587 Particulate emissions damage is the damage due to exposure of a country's population to ambient concentrations of particulates measuring less than 2.5 microns in diameter (PM2.5), ambient ozone pollution, and indoor concentrations of PM2.5 in households cooking with solid fuels. Damages are calculated as foregone labor income due to premature death. Estimates of health impacts from the Global Burden of Disease Study 2013 are for 1990, 1995, 2000, 2005, 2010, and 2013. Data for other years have been extrapolated from trends in mortality rates.
## 588 Services correspond to ISIC divisions 45-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Data are in constant 2015 prices, expressed in U.S. dollars.
## 589 Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.
## 590 Trade is the sum of exports and imports of goods and services measured as a share of gross domestic product.
## 591 Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in current U.S. dollars.
## 592 Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in current local currency.
## 593 This indicator provides values for households and NPISHs final consumption expenditure expressed in current international dollars converted by purchasing power parity (PPP) conversion factor. Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. PPP conversion factor is a spatial price deflator and currency converter that eliminates the effects of the differences in price levels between countries. From July 2020, “Households and NPISHs final consumption expenditure: linked series (current LCU)” [NE.CON.PRVT.CN.AD] is used as underlying expenditure in local currency unit so that it’s in line with time series of PPP conversion factor, private consumption (LCU per international $), which are extrapolated with linked CPI.
## 594 Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.)
## 595 Annual percentage growth of household and NPISHs final consumption expenditure based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. Household and NPISHs final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. This indicator includes the expenditures of nonprofit institutions serving households even when reported separately by the country.
## 596 Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. Labor force comprises all people who meet the International Labour Organization's definition of the economically active population.
## 597 Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.
## 598 The data services pillar overall score is a composite indicator based on four dimensions of data services: (i) the quality of data releases, (ii) the richness and openness of online access, (iii) the effectiveness of advisory and analytical services related to statistics, and (iv) the availability and use of data access services such as secure microdata access. Advisory and analytical services might incorporate elements related to data stewardship services including input to national data strategies, advice on data ethics and calling out misuse of data in accordance with the Fundamental Principles of Official Statistics.
## 599 Quality of public administration assesses the extent to which civilian central government staff is structured to design and implement government policy and deliver services effectively.
## 600 Scientific and technical journal articles refer to the number of scientific and engineering articles published in the following fields: physics, biology, chemistry, mathematics, clinical medicine, biomedical research, engineering and technology, and earth and space sciences.
## 601 Other taxes payable by businesses include the amounts paid for property taxes, turnover taxes, and other small taxes such as municipal fees and vehicle and fuel taxes.
## 602 Time required to enforce a contract is the number of calendar days from the filing of the lawsuit in court until the final determination and, in appropriate cases, payment.
## 603 Firms with female top manager refers to the percentage of firms in the private sector who have females as top managers. Top manager refers to the highest ranking manager or CEO of the establishment. This person may be the owner if he/she works as the manager of the firm. The results are based on surveys of more than 100,000 private firms.
## 604 Average time to clear exports through customs is the average number of days to clear direct exports through customs.
## 605 The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.
## 606 Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragovernmental payments are eliminated in consolidation.
## 607 Revenue is cash receipts from taxes, social contributions, and other revenues such as fines, fees, rent, and income from property or sales. Grants are also considered as revenue but are excluded here.
## 608 Gross domestic expenditures on research and development (R&D), expressed as a percent of GDP. They include both capital and current expenditures in the four main sectors: Business enterprise, Government, Higher education and Private non-profit. R&D covers basic research, applied research, and experimental development.
## 609 Interest rate spread is the interest rate charged by banks on loans to private sector customers minus the interest rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability.
## 610 Total reserves minus gold comprise special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. Gold holdings are excluded. Data are in current U.S. dollars.
## 611 Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country.
## 612 Population in largest city is the urban population living in the country's largest metropolitan area.
## 613 Disaster risk reduction progress score is an average of self-assessment scores, ranging from 1 to 5, submitted by countries under Priority 1 of the Hyogo Framework National Progress Reports. The Hyogo Framework is a global blueprint for disaster risk reduction efforts that was adopted by 168 countries in 2005. Assessments of "Priority 1" include four indicators that reflect the degree to which countries have prioritized disaster risk reduction and the strengthening of relevant institutions.
## 614 Methane emissions are those stemming from human activities such as agriculture and from industrial methane production.
## 615 Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of petroleum-derived fuels as an energy source.
## 616 Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels.
## 617 Access to clean fuels and technologies for cooking, rural is the proportion of rural population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.
## 618 Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent).
## 619 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 620 Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars.
## 621 Public and publicly guaranteed debt outstanding from the International Development Association (IDA) is concessional. Concessional debt is defined as loans with an original grant element of 35 percent or more. The grant element of a loan is the grant equivalent expressed as a percentage of the amount committed. It is used as a measure of the overall cost of borrowing. The grant equivalent of a loan is its commitment (present) value, less the discounted present value of its contractual debt service; conventionally, future service payments are discounted at 5 percent. Data are in current U.S. dollars.
## 622 Net Official development assistance (ODA) comprises grants or loans to developing countries and territories on the OECD/DAC list of aid recipients that are undertaken by the official sector with promotion of economic development and welfare as the main objective and at concessional financial terms. The list of least developed countries (LDCs) has been agreed by the General Assembly, on the recommendation of the Committee for Development Policy, Economic and Social Council.
## 623 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 624 Turnover ratio is the value of domestic shares traded divided by their market capitalization. The value is annualized by multiplying the monthly average by 12.
## 625 Exports of goods, services and primary income is the sum of goods exports, service exports and primary income receipts. Data are in current U.S. dollars.
## 626 Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows total net FDI. In BPM6, financial account balances are calculated as the change in assets minus the change in liabilities. Net FDI outflows are assets and net FDI inflows are liabilities. Data are in current U.S. dollars.
## 627 Services refer to economic output of intangible commodities that may be produced, transferred, and consumed at the same time. Data are in current U.S. dollars.
## 628 Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.
## 629 Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.
## 630 Investment in ICT projects with private participation refers to commitments to projects in ICT backbone infrastructure (including land based and submarine cables) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are operations and management contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars and available 2015 onwards only.
## 631 Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.
## 632 Percent of firms experiencing losses due to theft, robbery, vandalism or arson that occurred on the establishment's premises.
## 633 Border compliance captures the time and cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. The time and cost for this segment include time and cost for customs clearance and inspection procedures conducted by other government agencies.
## 634 The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.
## 635 Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents.
## 636 Customs and other import duties are all levies collected on goods that are entering the country or services delivered by nonresidents to residents. They include levies imposed for revenue or protection purposes and determined on a specific or ad valorem basis as long as they are restricted to imported goods or services.
## 637 Net investment in government nonfinancial assets includes fixed assets, inventories, valuables, and nonproduced assets. Nonfinancial assets are stores of value and provide benefits either through their use in the production of goods and services or in the form of property income and holding gains. Net investment in nonfinancial assets also includes consumption of fixed capital.
## 638 Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (poorest 40%, share of population ages 15+).
## 639 Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.
## 640 Bank capital to assets is the ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.
## 641 Capture fisheries production measures the volume of fish catches landed by a country for all commercial, industrial, recreational and subsistence purposes.
## 642 CO2 emissions from transport contains emissions from the combustion of fuel for all transport activity, regardless of the sector, except for international marine bunkers and international aviation. This includes domestic aviation, domestic navigation, road, rail and pipeline transport, and corresponds to IPCC Source/Sink Category 1 A 3. In addition, the IEA data are not collected in a way that allows the autoproducer consumption to be split by specific end-use and therefore, autoproducers are shown as a separate item (Unallocated Autoproducers).
## 643 Nitrous oxide emissions are emissions from agricultural biomass burning, industrial activities, and livestock management. Each year of data shows the percentage change to that year from 1990.
## 644 Other greenhouse gas emissions are by-product emissions of hydrofluorocarbons, perfluorocarbons, and sulfur hexafluoride.
## 645 Energy use per PPP GDP is the kilogram of oil equivalent of energy use per constant PPP GDP. Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport. PPP GDP is gross domestic product converted to 2017 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.
## 646 Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, and blast furnace gas). Peat is also included in this category.
## 647 Total debt service to exports of goods, services and primary income. Total debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF.
## 648 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 649 Nonguaranteed long-term debt from bonds that are privately placed. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars.
## 650 Private nonguaranteed external debt is an external obligation of a private debtor that is not guaranteed for repayment by a public entity. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.
## 651 Use of IMF Credit: Data related to the operations of the IMF are provided by the IMF Treasurer’s Department. They are converted from special drawing rights into dollars using end-of-period exchange rates for stocks and average-over-the-period exchange rates for flows. IMF trust fund operations under the Enhanced Structural Adjustment Facility, Extended Fund Facility, Poverty Reduction and Growth Facility, and Structural Adjustment Facility (Enhanced Structural Adjustment Facility in 1999) are presented together with all of the IMF’s special facilities (buffer stock, supplemental reserve, compensatory and contingency facilities, oil facilities, and other facilities). SDR allocations are also included in this category. According to the BPM6, SDR allocations are recorded as the incurrence of a debt liability of the member receiving them (because of a requirement to repay the allocation in certain circumstances, and also because interest accrues). This debt item is introduced for the first time this year with historical data starting in 1999.
## 652 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 653 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 654 Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Data are in current U.S. dollars.
## 655 Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions). Data are in current U.S. dollars.
## 656 Secondary income refers to transfers recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars.
## 657 Livestock production index includes meat and milk from all sources, dairy products such as cheese, and eggs, honey, raw silk, wool, and hides and skins.
## 658 Rural land area below 5m is the total rural land area in square kilometers where the elevation is 5 meters or less.
## 659 Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the overall level of competence and quality of logistics services (e.g. transport operators, customs brokers), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.
## 660 The Liner Shipping Connectivity Index captures how well countries are connected to global shipping networks. It is computed by the United Nations Conference on Trade and Development (UNCTAD) based on five components of the maritime transport sector: number of ships, their container-carrying capacity, maximum vessel size, number of services, and number of companies that deploy container ships in a country's ports. For each component a country's value is divided by the maximum value of each component in 2004, the five components are averaged for each country, and the average is divided by the maximum average for 2004 and multiplied by 100. The index generates a value of 100 for the country with the highest average index in 2004. . The underlying data come from Containerisation International Online.
## 661 The methodology indicator measures a country’s ability to adhere to internationally recommended standards and methods. The methodology score is calculated as the weighted average of 10 underlying indicator scores. The final methodology score contributes 1/3 of the overall Statistical Capacity Indicator score.
## 662 Financial sector assesses the structure of the financial sector and the policies and regulations that affect it.
## 663 Public Private Partnerships in energy (current US$) refers to commitments to infrastructure projects in energy (electricity and natural gas transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects such as windmills are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.
## 664 Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.
## 665 Border compliance captures the time and cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. The time and cost for this segment include time and cost for customs clearance and inspection procedures conducted by other government agencies.
## 666 Firms using banks to finance investment are the percentage of firms using banks to finance investments.
## 667 Ease of doing business ranks economies from 1 to 190, with first place being the best. The ranking of economies is determined by sorting the aggregate ease of doing business scores. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation.
## 668 Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefits, and other expenses such as rent and dividends.
## 669 Other taxes include employer payroll or labor taxes, taxes on property, and taxes not allocable to other categories, such as penalties for late payment or nonpayment of taxes.
## 670 Net lending (+) / net borrowing (–) equals government revenue minus expense, minus net investment in nonfinancial assets. It is also equal to the net result of transactions in financial assets and liabilities. Net lending/net borrowing is a summary measure indicating the extent to which government is either putting financial resources at the disposal of other sectors in the economy or abroad, or utilizing the financial resources generated by other sectors in the economy or from abroad.
## 671 Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (male, % age 15+).
## 672 Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.
## 673 Depositors with commercial banks are the reported number of deposit account holders at commercial banks and other resident banks functioning as commercial banks that are resident nonfinancial corporations (public and private) and households. For many countries data cover the total number of deposit accounts due to lack of information on account holders. The major types of deposits are checking accounts, savings accounts, and time deposits.
## 674 Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture are total withdrawals for irrigation and livestock production. Data are for the most recent year available for 1987-2002.
## 675 Mammal species are mammals excluding whales and porpoises. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.
## 676 Percent of population exposed to ambient concentrations of PM2.5 that exceed the World Health Organization (WHO) Interim Target 1 (IT-1) is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 35 micrograms per cubic meter. The Air Quality Guideline (AQG) of 10 micrograms per cubic meter is recommended by the WHO as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed.
## 677 Total greenhouse gas emissions are composed of CO2 totals excluding short-cycle biomass burning (such as agricultural waste burning and savanna burning) but including other biomass burning (such as forest fires, post-burn decay, peat fires and decay of drained peatlands), all anthropogenic CH4 sources, N2O sources and F-gases (HFCs, PFCs and SF6). Each year of data shows the percentage change to that year from 1990.
## 678 Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport.
## 679 Electric power transmission and distribution losses include losses in transmission between sources of supply and points of distribution and in the distribution to consumers, including pilferage.
## 680 Debt service, the sum of principal repayments and interest actually paid in currency, goods, or services, is expressed as a percentage of exports of goods and services--all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, net exports of goods under merchanting, nonmonetary gold, and services. This series differs from the standard debt to exports series in that it covers only long-term public and publicly guaranteed debt and repayments (repurchases and charges) to the IMF.
## 681 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 682 Public and publicly guaranteed debt from private creditors include bonds that are either publicly issued or privately placed; commercial bank loans from private banks and other private financial institutions; and other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars.
## 683 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 684 Public and publicly guaranteed debt comprises long-term external obligations of public debtors, including the national government, Public Corporations, State Owned Enterprises, Development Banks and Other Mixed Enterprises, political subdivisions (or an agency of either), autonomous public bodies, and external obligations of private debtors that are guaranteed for repayment by a public entity. Data are in current U.S. dollars.
## 685 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 686 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 687 S&P Global Equity Indices measure the U.S. dollar price change in the stock markets covered by the S&P/IFCI and S&P/Frontier BMI country indices.
## 688 Primary income receipts refer to employee compensation paid to resident workers working abroad and investment income (receipts on direct investment, portfolio investment, other investments, and receipts on reserve assets). Data are in current U.S. dollars.
## 689 Current account balance is the sum of net exports of goods and services, net primary income, and net secondary income.
## 690 Trade in services is the sum of service exports and imports divided by the value of GDP, all in current U.S. dollars.
## 691 Urban land area below 5m is the percentage of total land where the urban land elevation is 5 meters or less.
## 692 Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." According to the 2008 SNA, net acquisitions of valuables are also considered capital formation. Data are in constant 2015 prices, expressed in U.S. dollars.
## 693 Annual growth rate of exports of goods and services based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments.
## 694 Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. This item also includes any statistical discrepancy in the use of resources relative to the supply of resources.
## 695 General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. Data are in current U.S. dollars.
## 696 Lead time to import is the median time (the value for 50 percent of shipments) from port of discharge to arrival at the consignee. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of shipments) and the median case (50 percent of shipments). The data are exponentiated averages of the logarithm of single value responses and of midpoint values of range responses for the median case.
## 697 Air passengers carried include both domestic and international aircraft passengers of air carriers registered in the country.
## 698 The policies for social inclusion and equity cluster includes gender equality, equity of public resource use, building human resources, social protection and labor, and policies and institutions for environmental sustainability.
## 699 Debt policy assesses whether the debt management strategy is conducive to minimizing budgetary risks and ensuring long-term debt sustainability.
## 700 Investment in energy projects with private participation refers to commitments to infrastructure projects in energy (electricity and natural gas: generation, transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects such as windmills are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.
## 701 Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.
## 702 Percent of firms that spend on research and development.
## 703 Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study.
## 704 The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.
## 705 Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents.
## 706 Customs and other import duties are all levies collected on goods that are entering the country or services delivered by nonresidents to residents. They include levies imposed for revenue or protection purposes and determined on a specific or ad valorem basis as long as they are restricted to imported goods or services.
## 707 Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of liabilities should be offset by the net acquisition of financial assets.
## 708 Domestic credit to private sector refers to financial resources provided to the private sector by financial corporations, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises. The financial corporations include monetary authorities and deposit money banks, as well as other financial corporations where data are available (including corporations that do not accept transferable deposits but do incur such liabilities as time and savings deposits). Examples of other financial corporations are finance and leasing companies, money lenders, insurance corporations, pension funds, and foreign exchange companies.
## 709 Claims on private sector (IFS line 32D..ZK or 32D..ZF) include gross credit from the financial system to individuals, enterprises, nonfinancial public entities not included under net domestic credit, and financial institutions not included elsewhere.
## 710 Automated teller machines are computerized telecommunications devices that provide clients of a financial institution with access to financial transactions in a public place.
## 711 Aquaculture is understood to mean the farming of aquatic organisms including fish, molluscs, crustaceans and aquatic plants. Aquaculture production specifically refers to output from aquaculture activities, which are designated for final harvest for consumption.
## 712 CO2 emissions from other sectors, less residential buildings and commercial and public services, contains the emissions from commercial/institutional activities, residential, agriculture/forestry, fishing and other emissions not specified elsewhere that are included in the IPCC Source/Sink Categories 1 A 4 and 1 A 5. In the 1996 IPCC Guidelines, the category also includes emissions from autoproducers in the commercial/residential/agricultural sectors that generate electricity and/or heat. The IEA data are not collected in a way that allows the energy consumption to be split by specific end-use and therefore, autoproducers are shown as a separate item (Unallocated Autoproducers).
## 713 Nitrous oxide emissions are emissions from agricultural biomass burning, industrial activities, and livestock management.
## 714 Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source.
## 715 Fossil fuel comprises coal, oil, petroleum, and natural gas products.
## 716 Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources.
## 717 Total debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF. Data are in current U.S. dollars.
## 718 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 719 Commercial bank and other lending includes net commercial bank lending (public and publicly guaranteed and private nonguaranteed) and other private credits. Data are in current U.S. dollars.
## 720 Bonds are securities issued with a fixed rate of interest for a period of more than one year. They include net flows through cross-border public and publicly guaranteed and private nonguaranteed bond issues. Data are in current U.S. dollars.
## 721 Total external debt stocks to gross national income. Total external debt is debt owed to nonresidents repayable in currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad.
## 722 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 723 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 724 Secondary income refers to transfers recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars.
## 725 Technical cooperation grants include free-standing technical cooperation grants, which are intended to finance the transfer of technical and managerial skills or of technology for the purpose of building up general national capacity without reference to any specific investment projects; and investment-related technical cooperation grants, which are provided to strengthen the capacity to execute specific investment projects. Data are in current U.S. dollars.
## 726 Foreign direct investment refers to direct investment equity flows in an economy. It is the sum of equity capital, reinvestment of earnings, and other capital. Direct investment is a category of cross-border investment associated with a resident in one economy having control or a significant degree of influence on the management of an enterprise that is resident in another economy. Ownership of 10 percent or more of the ordinary shares of voting stock is the criterion for determining the existence of a direct investment relationship. This series shows net outflows of investment from the reporting economy to the rest of the world, and is divided by GDP.
## 727 Food production index covers food crops that are considered edible and that contain nutrients. Coffee and tea are excluded because, although edible, they have no nutritive value.
## 728 Permanent cropland is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber.
## 729 Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
## 730 Merchandise exports to low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Sub-Saharan Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 731 Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap).
## 732 Merchandise imports from low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Latin America and the Caribbean region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 733 Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
## 734 Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
## 735 International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Data are in current U.S. dollars.
## 736 Male population is the percentage of the population that is male. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 737 Male population between the ages 70 to 74 as a percentage of the total male population.
## 738 Male population between the ages 45 to 49 as a percentage of the total male population.
## 739 Female population between the ages 15 to 64 as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 740 Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.
## 741 Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
## 742 Wage workers (also known as employees) are people who hold explicit (written or oral) or implicit employment contracts that provide basic remuneration that does not depend directly on the revenue of the unit for which they work.
## 743 The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
## 744 The ratio of the labor force with intermediate education to the working-age population with intermediate education. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
## 745 Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 746 Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity.
## 747 Self-employed workers are people whose remuneration depends directly on the profits derived from the goods and services they produce, with or without other employees, and include employers, own-account workers, and members of producers cooperatives.
## 748 Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.
## 749 Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s).
## 750 Mean consumption or income per capita (2017 PPP $ per day) of the bottom 40%, used in calculating the growth rate in the welfare aggregate of the bottom 40% of the population in the income distribution in a country.
## 751 Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.
## 752 Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.
## 753 Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
## 754 Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.
## 755 Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.
## 756 The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
## 757 The number of procedures undertaken in an operating theatre per 100,000 population per year in each country. A procedure is defined as the incision, excision, or manipulation of tissue that needs regional or general anaesthesia, or profound sedation to control pain.
## 758 Community health workers include various types of community health aides, many with country-specific occupational titles such as community health officers, community health-education workers, family health workers, lady health visitors and health extension package workers.
## 759 Children living with HIV refers to the number of children ages 0-14 who are infected with HIV.
## 760 Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population ages 15+ who are living with HIV.
## 761 Condom use, female is the percentage of the female population ages 15-24 who used a condom at last intercourse in the last 12 months.
## 762 The index measures how laws and regulations affect women’s economic opportunity. Overall scores are calculated by taking the average score of each index (Mobility, Workplace, Pay, Marriage, Parenthood, Entrepreneurship, Assets and Pension), with 100 representing the highest possible score.
## 763 Tertiary education, academic staff (% female) is the share of female academic staff in tertiary education.
## 764 The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
## 765 Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
## 766 Secondary general pupils are the number of secondary students enrolled in general education programs, including teacher training.
## 767 Lower secondary school starting age is the age at which students would enter lower secondary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through the system without repeating or skipping a grade.
## 768 Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.
## 769 Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
## 770 Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
## 771 Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
## 772 Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.
## 773 Coverage of social protection and labor programs (SPL) shows the percentage of population participating in social insurance, social safety net, and unemployment benefits and active labor market programs. Estimates include both direct and indirect beneficiaries.
## 774 Net primary income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ownership of foreign financial claims (interest, dividends, rent, etc.) and nonfinancial property income (patents, copyrights, etc.). Data are in current local currency.
## 775 GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad.
## 776 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2015 U.S. dollars.
## 777 Gross value added at basic prices (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at basic prices is derived by subtracting net product taxes from GDP. Data are in current local currency.
## 778 Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.
## 779 Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth.
## 780 Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Machinery and transport equipment correspond to ISIC divisions 29, 30, 32, 34, and 35.
## 781 Financial intermediation services indirectly measured (FISIM) is an indirect measure of the value of financial intermediation services (i.e. output) provided but for which financial institutions do not charge explicitly as compared to explicit bank charges. Although the 1993 SNA recommends that the FISIM are allocated as intermediate and final consumption to the users, many countries still make a global (negative) adjustment to the sum of gross value added.
## 782 Annual growth rate of imports of goods and services based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments.
## 783 Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 2008 SNA, net acquisitions of valuables are also considered capital formation. Data are in constant 2015 prices, expressed in U.S. dollars.
## 784 Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment).
## 785 Household and NPISHs final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. This indicator includes the expenditures of nonprofit institutions serving households even when reported separately by the country. Data are in current local currency.
## 786 The data products overall score is a composite score measureing whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system’s performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.
## 787 Equity of public resource use assesses the extent to which the pattern of public expenditures and revenue collection affects the poor and is consistent with national poverty reduction priorities.
## 788 Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a new technical solution to a problem. A patent provides protection for the invention to the owner of the patent for a limited period, generally 20 years.
## 789 Tax payments by businesses are the total number of taxes paid by businesses, including electronic filing. The tax is counted as paid once a year even if payments are more frequent.
## 790 Time required to register property is the number of calendar days needed for businesses to secure rights to property.
## 791 Firms with female participation in ownership are the percentage of firms with a woman among the principal owners.
## 792 The average wait, in days, experienced to obtain an electrical connection from the day an establishment applies for it to the day it receives the service.
## 793 The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.
## 794 Compensation of employees consists of all payments in cash, as well as in kind (such as food and housing), to employees in return for services rendered, and government contributions to social insurance schemes such as social security and pensions that provide benefits to employees.
## 795 Taxes on exports are all levies on goods being transported out of the country or services being delivered to nonresidents by residents. Rebates on exported goods that are repayments of previously paid general consumption taxes, excise taxes, or import duties are deducted from the gross amounts receivable from these taxes, not from amounts receivable from export taxes.
## 796 Net acquisition of government financial assets includes domestic and foreign financial claims, SDRs, and gold bullion held by monetary authorities as a reserve asset. The net acquisition of financial assets should be offset by the net incurrence of liabilities.
## 797 Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator. The terms and conditions attached to lending rates differ by country, however, limiting their comparability.
## 798 Claims on central government (IFS line 32AN..ZK) include loans to central government institutions net of deposits.
## 799 Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country. Renewable internal freshwater resources per capita are calculated using the World Bank's population estimates.
## 800 Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.
## 801 GHG net emissions/removals by LUCF refers to changes in atmospheric levels of all greenhouse gases attributable to forest and land-use change activities, including but not limited to (1) emissions and removals of CO2 from decreases or increases in biomass stocks due to forest management, logging, fuelwood collection, etc.; (2) conversion of existing forests and natural grasslands to other land uses; (3) removal of CO2 from the abandonment of formerly managed lands (e.g. croplands and pastures); and (4) emissions and removals of CO2 in soil associated with land-use change and management. For Annex-I countries under the UNFCCC, these data are drawn from the annual GHG inventories submitted to the UNFCCC by each country; for non-Annex-I countries, data are drawn from the most recently submitted National Communication where available. Because of differences in reporting years and methodologies, these data are not generally considered comparable across countries. Data are in million metric tons.
## 802 Methane emissions are those stemming from human activities such as agriculture and from industrial methane production. Each year of data shows the percentage change to that year from 1990.
## 803 Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of petroleum-derived fuels as an energy source.
## 804 Renewable energy consumption is the share of renewables energy in total final energy consumption.
## 805 Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.
## 806 Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent).
## 807 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 808 Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Others is a residual category in the World Bank's Debtor Reporting System. It includes such institutions as the Caribbean Development Fund, Council of Europe, European Development Fund, Islamic Development Bank, Nordic Development Fund, and the like. Data are in current U.S. dollars.
## 809 IBRD loans and IDA credits are public and publicly guaranteed debt extended by the World Bank Group. The International Bank for Reconstruction and Development (IBRD) lends at market rates. Credits from the International Development Association (IDA) are at concessional rates. Data are in current U.S. dollars.
## 810 Net Official development assistance (ODA) comprises grants or loans to developing countries and territories on the OECD/DAC list of aid recipients that are undertaken by the official sector with promotion of economic development and welfare as the main objective and at concessional financial terms. The list of least developed countries (LDCs) has been agreed by the General Assembly, on the recommendation of the Committee for Development Policy, Economic and Social Council. Series is shown as a share of donors' GNI.
## 811 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 812 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 813 Transport covers all transport services (sea, air, land, internal waterway, pipeline, space and electricity transmission) performed by residents of one economy for those of another and involving the carriage of passengers, the movement of goods (freight), rental of carriers with crew, and related support and auxiliary services. Also included are postal and courier services. Excluded are freight insurance (included in insurance services); goods procured in ports by nonresident carriers (included in goods); maintenance and repairs on transport equipment (included in maintenance and repair services n.i.e.); and repairs of railway facilities, harbors, and airfield facilities (included in construction).
## 814 Portfolio investment covers transactions in equity securities and debt securities. Data are in current U.S. dollars.
## 815 Charges for the use of intellectual property are payments and receipts between residents and nonresidents for the authorized use of proprietary rights (such as patents, trademarks, copyrights, industrial processes and designs including trade secrets, and franchises) and for the use, through licensing agreements, of produced originals or prototypes (such as copyrights on books and manuscripts, computer software, cinematographic works, and sound recordings) and related rights (such as for live performances and television, cable, or satellite broadcast). Data are in current U.S. dollars.
## 816 Rural land area in square kilometers, derived from urban extent grids which distinguish urban and rural areas based on a combination of population counts (persons), settlement points, and the presence of Nighttime Lights. Areas are defined as urban where contiguous lighted cells from the Nighttime Lights or approximated urban extents based on buffered settlement points for which the total population is greater than 5,000 persons.
## 817 Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.
## 818 The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.
## 819 Social protection and labor assess government policies in social protection and labor market regulations that reduce the risk of becoming poor, assist those who are poor to better manage further risks, and ensure a minimal level of welfare to all people.
## 820 Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Madrid System. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner of the mark by ensuring the exclusive right to use it to identify goods or services, or to authorize another to use it in return for payment. The period of protection varies, but a trademark can be renewed indefinitely beyond the time limit on payment of additional fees. Non-resident application refers to an application filed with the IP office of or acting on behalf of a state or jurisdiction in which the first-named applicant in the application is not domiciled. Class count is used to render application data for trademark applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system.
## 821 Total tax rate measures the amount of taxes and mandatory contributions payable by businesses after accounting for allowable deductions and exemptions as a share of commercial profits. Taxes withheld (such as personal income tax) or collected and remitted to tax authorities (such as value added taxes, sales taxes or goods and service taxes) are excluded.
## 822 Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.
## 823 Firms that do not report all sales for tax purposes are the percentage of firms that expressed that a typical firm reports less than 100 percent of sales for tax purposes; such firms are termed "informal firms."
## 824 Percent of firms experiencing electrical outages during the previous fiscal year.
## 825 The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.
## 826 Goods and services include all government payments in exchange for goods and services used for the production of market and nonmarket goods and services. Own-account capital formation is excluded.
## 827 Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal monopolies.
## 828 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.
## 829 Claims on central government (IFS line 52AN or 32AN) include loans to central government institutions net of deposits.
## 830 Net domestic credit is the sum of net claims on the central government and claims on other sectors of the domestic economy (IFS line 32). Data are in current local currency.
## 831 Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment.
## 832 Population in urban agglomerations of more than one million is the percentage of a country's population living in metropolitan areas that in 2018 had a population of more than one million people.
## 833 CO2 emissions from residential buildings and commercial and public services contains all emissions from fuel combustion in households. This corresponds to IPCC Source/Sink Category 1 A 4 b. Commercial and public services includes emissions from all activities of ISIC Divisions 41, 50-52, 55, 63-67, 70-75, 80, 85, 90-93 and 99.
## 834 Agricultural nitrous oxide emissions are emissions produced through fertilizer use (synthetic and animal manure), animal waste management, agricultural waste burning (nonenergy, on-site), and savanna burning.
## 835 Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.
## 836 GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to 2017 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.
## 837 Energy intensity level of primary energy is the ratio between energy supply and gross domestic product measured at purchasing power parity. Energy intensity is an indication of how much energy is used to produce one unit of economic output. Lower ratio indicates that less energy is used to produce one unit of output.
## 838 Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent).
## 839 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 840 Public and publicly guaranteed debt from official creditors includes loans from international organizations (multilateral loans) and loans from governments (bilateral loans). Loans from international organization include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Government loans include loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars.
## 841 Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. This calculation assumes that the PV of loans with a negative grant element is equal to the nominal value of the loan. The exports denominator is a three-year average.
## 842 Net Official development assistance (ODA) comprises grants or loans to developing countries and territories on the OECD/DAC list of aid recipients that are undertaken by the official sector with promotion of economic development and welfare as the main objective and at concessional financial terms. It is shown as a share of donors' GNI.
## 843 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 844 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 845 Foreign direct investment refers to direct investment equity flows in the reporting economy. It is the sum of equity capital, reinvestment of earnings, and other capital. Direct investment is a category of cross-border investment associated with a resident in one economy having control or a significant degree of influence on the management of an enterprise that is resident in another economy. Ownership of 10 percent or more of the ordinary shares of voting stock is the criterion for determining the existence of a direct investment relationship. Data are in current U.S. dollars.
## 846 Secondary income refers to transfers recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars.
## 847 Transport covers all transport services (sea, air, land, internal waterway, pipeline, space and electricity transmission) performed by residents of one economy for those of another and involving the carriage of passengers, the movement of goods (freight), rental of carriers with crew, and related support and auxiliary services. Also included are postal and courier services. Excluded are freight insurance (included in insurance services); goods procured in ports by nonresident carriers (included in goods); maintenance and repairs on transport equipment (included in maintenance and repair services n.i.e.); and repairs of railway facilities, harbors, and airfield facilities (included in construction).
## 848 Agricultural machinery refers to the number of wheel and crawler tractors (excluding garden tractors) in use in agriculture at the end of the calendar year specified or during the first quarter of the following year. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.
## 849 Arable land (hectares per person) includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.
## 850 General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. Data are in constant 2015 prices, expressed in U.S. dollars.
## 851 Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the quality of trade and transport related infrastructure (e.g. ports, railroads, roads, information technology), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.
## 852 Passengers carried by railway are the number of passengers transported by rail times kilometers traveled.
## 853 Trade assesses how the policy framework fosters trade in goods.
## 854 Policy and institutions for environmental sustainability assess the extent to which environmental policies foster the protection and sustainable use of natural resources and the management of pollution.
## 855 Investment in transport projects with private participation refers to commitments to infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.
## 856 Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.
## 857 Firms offering formal training are the percentage of firms offering formal training programs for their permanent, full-time employees.
## 858 Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study.
## 859 The ease of doing business scores benchmark economies with respect to regulatory best practice, showing the proximity to the best regulatory performance on each Doing Business indicator. An economy’s score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance.
## 860 Other expense is spending on dividends, rent, and other miscellaneous expenses, including provision for consumption of fixed capital.
## 861 Taxes on international trade include import duties, export duties, profits of export or import monopolies, exchange profits, and exchange taxes.
## 862 Net investment in government nonfinancial assets includes fixed assets, inventories, valuables, and nonproduced assets. Nonfinancial assets are stores of value and provide benefits either through their use in the production of goods and services or in the form of property income and holding gains. Net investment in nonfinancial assets also includes consumption of fixed capital.
## 863 Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (richest 60%, share of population ages 15+).
## 864 Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.
## 865 Commercial bank branches are retail locations of resident commercial banks and other resident banks that function as commercial banks that provide financial services to customers and are physically separated from the main office but not organized as legally separated subsidiaries.
## 866 Total fisheries production measures the volume of aquatic species caught by a country for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included.
## 867 Fish species are based on Froese, R. and Pauly, D. (eds). 2008. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.
## 868 Perfluorocarbons, used as a replacement for chlorofluorocarbons in manufacturing semiconductors, are a byproduct of aluminum smelting and uranium enrichment.
## 869 Other greenhouse gas emissions are by-product emissions of hydrofluorocarbons, perfluorocarbons, and sulfur hexafluoride. Each year of data shows the percentage change to that year from 1990.
## 870 Combustible renewables and waste comprise solid biomass, liquid biomass, biogas, industrial waste, and municipal waste, measured as a percentage of total energy use.
## 871 Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products. Gas refers to natural gas but excludes natural gas liquids. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, and blast furnace gas). Peat is also included in this category.
## 872 Total debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF.
## 873 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 874 Nonguaranteed long-term commercial bank loans from private banks and other private financial institutions. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars.
## 875 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 876 Long-term debt is debt that has an original or extended maturity of more than one year. It has three components: public, publicly guaranteed, and private nonguaranteed debt. Data are in current U.S. dollars.
## 877 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 878 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 879 Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. Data are in current U.S. dollars.
## 880 Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions).
## 881 Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. Data are in current U.S. dollars.
## 882 Surface area is a country's total area, including areas under inland bodies of water and some coastal waterways.
## 883 Rural land area below 5m is the percentage of total land where the rural land elevation is 5 meters or less.
## 884 Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
## 885 Merchandise exports by the reporting economy residuals are the total merchandise exports by the reporting economy to the rest of the world as reported in the IMF's Direction of trade database, less the sum of exports by the reporting economy to high-, low-, and middle-income economies according to the World Bank classification of economies. Includes trade with unspecified partners or with economies not covered by World Bank classification. Data are as a percentage of total merchandise exports by the economy.
## 886 Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels).
## 887 Merchandise imports from low- and middle-income economies in Middle East and North Africa are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Middle East and North Africa region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 888 Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
## 889 Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
## 890 International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Their share in exports is calculated as a ratio to exports of goods and services, which comprise all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, goods sent for processing and repairs, nonmonetary gold, and services.
## 891 Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
## 892 Female population between the ages 75 to 79 as a percentage of the total female population.
## 893 Female population between the ages 50 to 54 as a percentage of the total female population.
## 894 Male population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 895 Female population between the ages 0 to 4 as a percentage of the total female population.
## 896 Contraceptive prevalence, any modern method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.
## 897 Wage workers (also known as employees) are people who hold explicit (written or oral) or implicit employment contracts that provide basic remuneration that does not depend directly on the revenue of the unit for which they work.
## 898 The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
## 899 The ratio of the labor force with intermediate education to the working-age population with intermediate education. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
## 900 The ratio of the labor force with advanced education to the working-age population with advanced education. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
## 901 Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school.
## 902 Self-employed workers are people whose remuneration depends directly on the profits derived from the goods and services they produce, with or without other employees, and include employers, own-account workers, and members of producers cooperatives.
## 903 Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.
## 904 Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s).
## 905 The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2017 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2017 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.
## 906 Poverty headcount ratio at $3.65 a day is the percentage of the population living on less than $3.65 a day at 2017 international prices.
## 907 Health expenditure through out-of-pocket payments per capita in USD. Out of pocket payments are spending on health directly out of pocket by households in each country.
## 908 Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
## 909 Prevalence of severe wasting, female, is the proportion of girls under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.
## 910 Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.
## 911 Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.
## 912 Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
## 913 Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.
## 914 Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.
## 915 Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.
## 916 Condom use, male is the percentage of the male population ages 15-24 who used a condom at last intercourse in the last 12 months.
## 917 The average time women spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.
## 918 Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration).
## 919 The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
## 920 Trained teachers in secondary education are the percentage of secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 921 Secondary general pupils are the number of secondary students enrolled in general education programs, including teacher training.
## 922 Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.
## 923 Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.
## 924 Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
## 925 Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
## 926 Duration of compulsory education is the number of years that children are legally obliged to attend school.
## 927 Adequacy of social insurance programs is measured by the total transfer amount received by the population participating in social insurance programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Social insurance programs include old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.
## 928 Adequacy of unemployment benefits and active labor market programs (ALMP) is measured by the total transfer amount received by the population participating in unemployment benefits and active labor market programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Unemployment benefits and active labor market programs include unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
## 929 Net primary income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ownership of foreign financial claims (interest, dividends, rent, etc.) and nonfinancial property income (patents, copyrights, etc.). Data are in constant local currency.
## 930 GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant local currency.
## 931 Annual percentage growth rate of GDP per capita based on constant local currency. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.
## 932 Gross value added at basic prices (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at basic prices is derived by subtracting net product taxes from GDP. Data are in constant 2015 prices, expressed in U.S. dollars.
## 933 Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.
## 934 Consumption of fixed capital represents the replacement value of capital used up in the process of production.
## 935 Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Other manufacturing, a residual, covers wood and related products (ISIC division 20), paper and related products (ISIC divisions 21 and 22), petroleum and related products (ISIC division 23), basic metals and mineral products (ISIC division27), fabricated metal products and professional goods (ISIC division 28), and other industries (ISIC divisions 25, 26, 31, 33, 36, and 37). Includes unallocated data. When data for textiles, machinery, or chemicals are shown as not available, they are included in other manufacturing.
## 936 Value added per worker is a measure of labor productivity—value added per unit of input. Value added denotes the net output of a sector after adding up all outputs and subtracting intermediate inputs. Data are in constant 2015 U.S. dollars. Industry corresponds to the International Standard Industrial Classification (ISIC) tabulation categories C-F (revision 3) or tabulation categories B-F (revision 4), and includes mining and quarrying (including oil production), manufacturing, construction, and public utilities (electricity, gas, and water).
## 937 Commercial service exports are total service exports minus exports of government services not included elsewhere. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) as the economic output of intangible commodities that may be produced, transferred, and consumed at the same time. Definitions may vary among reporting economies.
## 938 Ores and metals comprise the commodities in SITC sections 27 (crude fertilizer, minerals nes); 28 (metalliferous ores, scrap); and 68 (non-ferrous metals).
## 939 Merchandise imports from low- and middle-income economies within region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in the same World Bank region according to the World Bank classification of economies. Data are as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. No figures are shown for high-income economies, because they are a separate category in the World Bank classification of economies.
## 940 Information and communication technology goods imports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous).
## 941 Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups.
## 942 International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day visitors, except in cases where these are important enough to justify separate classification. For some countries they do not include expenditures for passenger transport items. Data are in current U.S. dollars.
## 943 Completeness of death registration is the estimated percentage of deaths that are registered with their cause of death information in the vital registration system of a country.
## 944 Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.
## 945 Male population between the ages 60 to 64 as a percentage of the total male population.
## 946 Male population between the ages 20 to 24 as a percentage of the total male population.
## 947 Male population between the ages 0 to 14 as a percentage of the total male population. Population is based on the de facto definition of population.
## 948 Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
## 949 International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.
## 950 Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.
## 951 Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave.
## 952 The ratio of the labor force with basic education to the working-age population with basic education. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
## 953 Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school.
## 954 Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).
## 955 Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household.
## 956 The proportion of females in total employment in senior and middle management. It corresponds to major group 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 (hospitality, retail and other services managers) and minus category 13 in ISCO-88 (general managers), since these comprise mainly managers of small enterprises.
## 957 Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Agriculture corresponds to division 1 (ISIC revision 2), categories A and B (ISIC revision 3), or category A (ISIC revision 4) and includes hunting, forestry, and fishing. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
## 958 The percentage of female population who are multidimensionally poor
## 959 Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.
## 960 Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.
## 961 Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.
## 962 Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.
## 963 People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.
## 964 The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.
## 965 Malaria treatment refers to the percentage of children under age five who were ill with fever in the last two weeks and received any appropriate (locally defined) anti-malarial drugs.
## 966 Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.
## 967 Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).
## 968 Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
## 969 Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him.
## 970 Expenditure on primary education is expressed as a percentage of total general government expenditure on education. General government usually refers to local, regional and central governments.
## 971 The percentage of population ages 25 and over that attained or completed Master's or equivalent.
## 972 Trained teachers in upper secondary education are the percentage of upper secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 973 Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training.
## 974 The percentage of population ages 25 and over that attained or completed lower secondary education.
## 975 Female teachers as a percentage of total primary education teachers includes full-time and part-time teachers.
## 976 Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education.
## 977 Primary education pupils is the total number of pupils enrolled at primary level in public and private schools.
## 978 Preprimary duration refers to the number of grades (years) in preprimary school.
## 979 Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.
## 980 Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
## 981 Net secondary income (from abroad) comprises transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net secondary income is equal to the unrequited transfers of income from nonresidents to residents minus the unrequited transfers from residents to nonresidents. Data are in current local currency.
## 982 GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant 2015 U.S. dollars.
## 983 Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents.
## 984 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current local currency.
## 985 Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage.
## 986 Energy depletion is the ratio of the value of the stock of energy resources to the remaining reserve lifetime (capped at 25 years). It covers coal, crude oil, and natural gas.
## 987 Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges and import duties. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current local currency.
## 988 Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in constant local currency.
## 989 External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services).
## 990 Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in constant local currency.
## 991 Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in current U.S. dollars.
## 992 Annual percentage growth of household final consumption expenditure per capita, which is calculated using household final consumption expenditure in constant 2010 prices and World Bank population estimates. Household final consumption expenditure (private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country.
## 993 Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.)
## 994 The number of distinct, publicly-trusted TLS/SSL certificates found in the Netcraft Secure Server Survey.
## 995 Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "New Displacement" refers to the number of new cases or incidents of displacement recorded over the specified year, rather than the number of people displaced. This is done because people may have been displaced more than once.
## 996 Merchandise exports to low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Latin America and the Caribbean region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 997 Share of medium and high-tech manufactured exports in total manufactured exports.
## 998 Merchandise imports from low- and middle-income economies outside region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 999 Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
## 1000 Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
## 1001 Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.
## 1002 Female population is based on the de facto definition of population, which counts all female residents regardless of legal status or citizenship.
## 1003 Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 1004 Female population between the ages 40 to 44 as a percentage of the total female population.
## 1005 Female population between the ages 15 to 19 as a percentage of the total female population.
## 1006 Female headed households shows the percentage of households with a female head.
## 1007 Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.
## 1008 Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
## 1009 The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
## 1010 Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 1011 Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 1012 Average working hours of children studying and working refer to the average weekly working hours of those children who are attending school in combination with economic activity.
## 1013 Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Manufacturing corresponds to division 3 (ISIC revision 2), category D (ISIC revision 3), or category C (ISIC revision 4). Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
## 1014 Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.
## 1015 Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
## 1016 Poverty gap at $6.85 a day (2017 PPP) is the mean shortfall in income or consumption from the poverty line $6.85 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.
## 1017 Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.
## 1018 Public expenditure on health from domestic sources as a share of total public expenditure. It indicates the priority of the government to spend on health from own domestic public resources.
## 1019 Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, as a percentage of the $3.20 poverty line. The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending.
## 1020 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
## 1021 Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.
## 1022 Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons.
## 1023 The percentage of the male population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.
## 1024 Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.
## 1025 The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.
## 1026 Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year.
## 1027 Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.
## 1028 Women participating in the three decisions (own health care, major household purchases, and visiting family) is the percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in all of the three decisions (own health care, large purchases and visits to family, relatives, and friends).
## 1029 Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
## 1030 Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school.
## 1031 Private enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise.
## 1032 Secondary duration refers to the number of grades (years) in secondary school.
## 1033 Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
## 1034 Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.
## 1035 Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.
## 1036 Trained teachers in preprimary education are the percentage of preprimary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 1037 Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
## 1038 Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.
## 1039 Purchasing power parity (PPP) conversion factor is a spatial price deflator and currency converter that controls for price level differences between countries, thereby allowing volume comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for household final consumption expenditure.
## 1040 Gross savings are calculated as gross national income less total consumption, plus net transfers.
## 1041 GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current local currency.
## 1042 Natural gas rents are the difference between the value of natural gas production at regional prices and total costs of production.
## 1043 Discrepancy in expenditure estimate of GDP is the discrepancy included in final consumption expenditure, etc. (total consumption, etc.). This discrepancy is included to ensure that GDP from the expenditure side equals GDP measured by the income or output approach. Data are in current local currency.
## 1044 Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.
## 1045 Cost of damage due to carbon dioxide emissions from fossil fuel use and the manufacture of cement, estimated to be US$40 per ton of CO2 (the unit damage in 2017 US dollars for CO2 emitted in 2020) times the number of tons of CO2 emitted.
## 1046 Industry (including construction) corresponds to ISIC divisions 05-43 and includes manufacturing (ISIC divisions 10-33). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Note: For VAB countries, gross value added at factor cost is used as the denominator.
## 1047 Agriculture, forestry, and fishing corresponds to ISIC divisions 1-3 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Data are in constant local currency.
## 1048 Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in current U.S. dollars.
## 1049 Private investment covers gross outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets.
## 1050 Average annual growth of final consumption expenditure based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate includes any statistical discrepancy in the use of resources relative to the supply of resources.
## 1051 General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. Data are in constant local currency.
## 1052 Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
## 1053 Registered carrier departures worldwide are domestic takeoffs and takeoffs abroad of air carriers registered in the country.
## 1054 The public sector management and institutions cluster includes property rights and rule-based governance, quality of budgetary and financial management, efficiency of revenue mobilization, quality of public administration, and transparency, accountability, and corruption in the public sector.
## 1055 Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Madrid System. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner of the mark by ensuring the exclusive right to use it to identify goods or services, or to authorize another to use it in return for payment. The period of protection varies, but a trademark can be renewed indefinitely beyond the time limit on payment of additional fees. Resident application refers to an application filed with the IP office of or acting on behalf of the state or jurisdiction in which the first-named applicant in the application has residence. Class count is used to render application data for trademark applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system.
## 1056 Time required to build a warehouse is the number of calendar days needed to complete the required procedures for building a warehouse. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.
## 1057 Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.
## 1058 Percent of firms that were visited or required to meet with tax officials.
## 1059 Time required to get electricity is the number of days to obtain a permanent electricity connection. The measure captures the median duration that the electricity utility and experts indicate is necessary in practice, rather than required by law, to complete a procedure.
## 1060 The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.
## 1061 Goods and services include all government payments in exchange for goods and services used for the production of market and nonmarket goods and services. Own-account capital formation is excluded.
## 1062 Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal monopolies.
## 1063 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.
## 1064 Claims on other sectors of the domestic economy (IFS line 52S or 32S) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds.
## 1065 Net foreign assets are the sum of foreign assets held by monetary authorities and deposit money banks, less their foreign liabilities. Data are in current local currency.
## 1066 Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment. Sites protected under local or provincial law are excluded.
## 1067 Fuel prices refer to the pump prices of the most widely sold grade of diesel fuel. Prices have been converted from the local currency to U.S. dollars.
## 1068 CO2 emissions from electricity and heat production is the sum of three IEA categories of CO2 emissions: (1) Main Activity Producer Electricity and Heat which contains the sum of emissions from main activity producer electricity generation, combined heat and power generation and heat plants. Main activity producers (formerly known as public utilities) are defined as those undertakings whose primary activity is to supply the public. They may be publicly or privately owned. This corresponds to IPCC Source/Sink Category 1 A 1 a. For the CO2 emissions from fuel combustion (summary) file, emissions from own on-site use of fuel in power plants (EPOWERPLT) are also included. (2) Unallocated Autoproducers which contains the emissions from the generation of electricity and/or heat by autoproducers. Autoproducers are defined as undertakings that generate electricity and/or heat, wholly or partly for their own use as an activity which supports their primary activity. They may be privately or publicly owned. In the 1996 IPCC Guidelines, these emissions would normally be distributed between industry, transport and "other" sectors. (3) Other Energy Industries contains emissions from fuel combusted in petroleum refineries, for the manufacture of solid fuels, coal mining, oil and gas extraction and other energy-producing industries. This corresponds to the IPCC Source/Sink Categories 1 A 1 b and 1 A 1 c. According to the 1996 IPCC Guidelines, emissions from coke inputs to blast furnaces can either be counted here or in the Industrial Processes source/sink category. Within detailed sectoral calculations, certain non-energy processes can be distinguished. In the reduction of iron in a blast furnace through the combustion of coke, the primary purpose of the coke oxidation is to produce pig iron and the emissions can be considered as an industrial process. Care must be taken not to double count these emissions in both Energy and Industrial Processes. In the IEA estimations, these emissions have been included in this category.
## 1069 Nitrous oxide emissions from energy processes are emissions produced by the combustion of fossil fuels and biofuels.
## 1070 Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.
## 1071 Net energy imports are estimated as energy use less production, both measured in oil equivalents. A negative value indicates that the country is a net exporter. Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport.
## 1072 Access to electricity, rural is the percentage of rural population with access to electricity.
## 1073 Net official development assistance (ODA) per capita consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients; and is calculated by dividing net ODA received by the midyear population estimate. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent).
## 1074 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 1075 Public and publicly guaranteed debt from bonds that are either publicly issued or privately placed. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars.
## 1076 Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. This calculation assumes that the PV of loans with a negative grant element is equal to the nominal value of the loan. The GNI denominator is a three-year average.
## 1077 Net Official development assistance (ODA) comprises grants or loans to developing countries and territories on the OECD/DAC list of aid recipients that are undertaken by the official sector with promotion of economic development and welfare as the main objective and at concessional financial terms. Data are in constant 2020 U.S. dollars.
## 1078 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 1079 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 1080 Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net inflows (new investment inflows less disinvestment) in the reporting economy from foreign investors, and is divided by GDP.
## 1081 Net capital account records acquisitions and disposals of nonproduced nonfinancial assets, such as land sold to embassies and sales of leases and licenses, as well as capital transfers, including government debt forgiveness. The use of the term capital account in this context is designed to be consistent with the System of National Accounts, which distinguishes between capital transactions and financial transactions. Data are in current U.S. dollars.
## 1082 Travel covers goods and services acquired from an economy by travelers for their own use during visits of less than one year in that economy for either business or personal purposes. Travel includes local transport (i.e., transport within the economy being visited and provided by a resident of that economy), but excludes international transport (which is included in passenger transport. Travel also excludes goods for resale, which are included in general merchandise.
## 1083 Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded.
## 1084 Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.
## 1085 Merchandise exports by the reporting economy are the total merchandise exports by the reporting economy to the rest of the world, as reported in the IMF's Direction of trade database. Data are in current US$.
## 1086 Fuels comprise the commodities in SITC section 3 (mineral fuels, lubricants and related materials).
## 1087 Merchandise imports from low- and middle-income economies in South Asia are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the South Asia region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 1088 Import unit value indices come from UNCTAD's trade database. Unit value indices are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, interna¬tional and national sources, and UNCTAD secretariat estimates.
## 1089 Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable.
## 1090 International tourism receipts for passenger transport items are expenditures by international inbound visitors for all services provided in the international transportation by resident carriers. Also included are passenger services performed within an economy by nonresident carriers. Excluded are passenger services provided to nonresidents by resident carriers within the resident economies; these are included in travel items. In addition to the services covered by passenger fares--including fares that are a part of package tours but excluding cruise fares, which are included in travel--passenger services include such items as charges for excess baggage, vehicles, or other personal accompanying effects and expenditures for food, drink, or other items for which passengers make expenditures while on board carriers. Data are in current U.S. dollars.
## 1091 Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
## 1092 Male population between the ages 75 to 79 as a percentage of the total male population.
## 1093 Male population between the ages 50 to 54 as a percentage of the total male population.
## 1094 Male population between the ages 15 to 64 as a percentage of the total male population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 1095 Male population between the ages 0 to 4 as a percentage of the total male population.
## 1096 Contraceptive prevalence, any method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, any method of contraception (modern or traditional). Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception. Traditional methods of contraception include rhythm (e.g., fertility awareness based methods, periodic abstinence), withdrawal and other traditional methods.
## 1097 Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.
## 1098 The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
## 1099 Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.
## 1100 The ratio of the labor force with advanced education to the working-age population with advanced education. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
## 1101 Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school.
## 1102 Self-employed workers are people whose remuneration depends directly on the profits derived from the goods and services they produce, with or without other employees, and include employers, own-account workers, and members of producers cooperatives.
## 1103 Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.
## 1104 Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s).
## 1105 Mean consumption or income per capita (2017 PPP $ per day) used in calculating the growth rate in the welfare aggregate of total population.
## 1106 Poverty gap at $3.65 a day (2017 PPP) is the mean shortfall in income or consumption from the poverty line $3.65 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.
## 1107 Health expenditure through out-of-pocket payments per capita in international dollars at purchasing power parity.
## 1108 Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
## 1109 Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.
## 1110 The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.
## 1111 Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.
## 1112 Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
## 1113 Physicians include generalist and specialist medical practitioners.
## 1114 Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.
## 1115 Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.
## 1116 Number of deaths of children ages 5-9 years
## 1117 The average time men spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.
## 1118 Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration).
## 1119 The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
## 1120 Trained teachers in lower secondary education are the percentage of lower secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 1121 Lower secondary school pupil-teacher ratio is the average number of pupils per teacher in lower secondary school.
## 1122 Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.
## 1123 Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 1124 Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.
## 1125 The percentage of population ages 25 and over that attained or completed primary education.
## 1126 Gender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools.
## 1127 Benefit incidence of social insurance programs to poorest quintile shows the percentage of total social insurance benefits received by the poorest 20% of the population. Social insurance programs include old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.
## 1128 Benefit incidence of unemployment benefits and active labor market programs (ALMP) to poorest quintile shows the percentage of total unemployment and active labor market programs benefits received by the poorest 20% of the population. Unemployment benefits and active labor market programs include unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
## 1129 Taxes less subsidies on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current account made by general government to private enterprises and unincorporated public enterprises. The grants may take the form of payments to ensure a guaranteed price or to enable maintenance of prices of goods and services below costs of production, and other forms of assistance to producers. Data are in current U.S. dollars.
## 1130 This indicator provides values for gross national income (GNI. Formerly GNP) expressed in current international dollars converted by purchasing power parity (PPP) conversion factor. Gross national income is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. PPP conversion factor is a spatial price deflator and currency converter that eliminates the effects of the differences in price levels between countries. From July 2020, “GNI: linked series (current LCU)” [NY.GNP.MKTP.CN.AD] is used as underlying GNI in local currency unit so that it’s in line with time series of PPP conversion factors, which are extrapolated with linked deflators.
## 1131 GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant local currency.
## 1132 Gross value added at basic prices (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at basic prices is derived by subtracting net product taxes from GDP. Data are in constant local currency.
## 1133 Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.
## 1134 Consumption of fixed capital represents the replacement value of capital used up in the process of production.
## 1135 The proportion of medium and high-tech industry value added in total value added of manufacturing
## 1136 Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current U.S. dollars.
## 1137 Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments.
## 1138 Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in constant local currency.
## 1139 Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data are in current local currency.
## 1140 Household and NPISHs final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. This indicator includes the expenditures of nonprofit institutions serving households even when reported separately by the country. Data are in constant 2015 prices, expressed in U.S. dollars.
## 1141 Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces.
## 1142 Fixed telephone subscriptions refers to the sum of active number of analogue fixed telephone lines, voice-over-IP (VoIP) subscriptions, fixed wireless local loop (WLL) subscriptions, ISDN voice-channel equivalents and fixed public payphones.
## 1143 Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. “People displaced” refers to the number of people living in displacement as of the end of each year, and reflects the stock of people displaced at the end of the previous year, plus inflows of new cases arriving over the year as well as births over the year to those displaced, minus outflows which may include returnees, those who settled elsewhere, those who integrated locally, those who travelled over borders, and deaths.
## 1144 Merchandise exports to low- and middle-income economies in Middle East and North Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Middle East and North Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 1145 Export volume indexes are derived from UNCTAD's volume index series and are the ratio of the export value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year’s trade values as weights. For economies for which UNCTAD does not publish data, the export volume indexes (lines 72) in the IMF's International Financial Statistics are used.
## 1146 Merchandise imports from low- and middle-income economies in East Asia and Pacific are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the East Asia and Pacific region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 1147 Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
## 1148 Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
## 1149 International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.
## 1150 Female population is the percentage of the population that is female. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 1151 Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 1152 Male population between the ages 40 to 44 as a percentage of the total male population.
## 1153 Male population between the ages 15 to 19 as a percentage of the total male population.
## 1154 Women who were first married by age 15 refers to the percentage of women ages 20-24 who were first married by age 15.
## 1155 Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.
## 1156 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
## 1157 The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
## 1158 Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 1159 Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 1160 Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity.
## 1161 Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Manufacturing corresponds to division 3 (ISIC revision 2), category D (ISIC revision 3), or category C (ISIC revision 4). Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
## 1162 Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.
## 1163 Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
## 1164 Average transaction cost of sending remittance to a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database to a specific country.
## 1165 Poverty headcount ratio at $2.15 a day is the percentage of the population living on less than $2.15 a day at 2017 purchasing power adjusted prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.
## 1166 Public expenditure on health from domestic sources per capita expressed in current US dollars.
## 1167 Proportion of population pushed below the $3.20 ($2011 PPP) poverty line by out-of-pocket health care expenditure. This indicator shows the fraction of a country’s population experiencing out-of-pocket health impoverishing expenditures, defined as expenditures without which the household they live in would have been above the $3.20 poverty line, but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
## 1168 Prevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.
## 1169 Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.
## 1170 The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
## 1171 The proportion of population at risk of catastrophic expenditure when surgical care is required. Catastrophic expenditure is defined as direct out of pocket payments for surgical and anaesthesia care exceeding 10% of total income.
## 1172 Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.
## 1173 The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.
## 1174 Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year.
## 1175 Prevalence of anemia, children ages 6-59 months, is the percentage of children ages 6-59 months whose hemoglobin level is less than 110 grams per liter, adjusted for altitude.
## 1176 Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.
## 1177 Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
## 1178 Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school.
## 1179 Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
## 1180 Secondary education pupils is the total number of pupils enrolled at secondary level in public and private schools.
## 1181 Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.
## 1182 Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.
## 1183 Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.
## 1184 Primary school starting age is the age at which students would enter primary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through the system without repeating or skipping a grade.
## 1185 Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
## 1186 Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.
## 1187 Adequacy of social protection and labor programs (SPL) is measured by the total transfer amount received by the population participating in social insurance, social safety net, and unemployment benefits and active labor market programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Estimates include both direct and indirect beneficiaries.
## 1188 Gross savings are calculated as gross national income less total consumption, plus net transfers.
## 1189 GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. Data are in local currency, at current prices.
## 1190 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars.
## 1191 A statistical discrepancy usually arises when the GDP components are estimated independently by industrial origin and by expenditure categories. This item represents the discrepancy in the use of resources (i.e., the estimate of GDP by expenditure categories). Data are in constant local currency.
## 1192 Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.
## 1193 Cost of damage due to carbon dioxide emissions from fossil fuel use and the manufacture of cement, estimated to be US$40 per ton of CO2 (the unit damage in 2017 US dollars for CO2 emitted in 2020) times the number of tons of CO2 emitted.
## 1194 Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Chemicals correspond to ISIC division 24.
## 1195 Agriculture, forestry, and fishing corresponds to ISIC divisions 1-3 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Note: For VAB countries, gross value added at factor cost is used as the denominator.
## 1196 Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in current local currency.
## 1197 The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.
## 1198 Macroeconomic management assesses the monetary, exchange rate, and aggregate demand policy framework.
## 1199 Industrial design applications are applications to register an industrial design with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Hague System. Industrial designs are applied to a wide variety of industrial products and handicrafts. They refer to the ornamental or aesthetic aspects of a useful article, including compositions of lines or colors or any three-dimensional forms that give a special appearance to a product or handicraft. The holder of a registered industrial design has exclusive rights against unauthorized copying or imitation of the design by third parties. Industrial design registrations are valid for a limited period. The term of protection is usually 15 years for most jurisdictions. However, differences in legislation do exist, notably in China (which provides for a 10-year term from the application date). Resident application refers to an application filed with the IP office of or acting on behalf of the state or jurisdiction in which the first-named applicant in the application has residence. Design count is used to render application data for industrial applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system.
## 1200 Average number of visits or required meetings with tax officials during the year. The value represents the average number of visits for all firms which reported being visited or required to meet with tax officials (please see indicator IC.FRM.METG.ZS).
## 1201 Strength of legal rights index measures the degree to which collateral and bankruptcy laws protect the rights of borrowers and lenders and thus facilitate lending. The index ranges from 0 to 12, with higher scores indicating that these laws are better designed to expand access to credit.
## 1202 Time required to obtain operating license is the average wait to obtain an operating license from the day the establishment applied for it to the day it was granted.
## 1203 Public credit registry coverage reports the number of individuals and firms listed in a public credit registry with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population.
## 1204 The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.
## 1205 Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragovernmental payments are eliminated in consolidation.
## 1206 Revenue is cash receipts from taxes, social contributions, and other revenues such as fines, fees, rent, and income from property or sales. Grants are also considered as revenue but are excluded here.
## 1207 Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (% age 15+).
## 1208 Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attached to these rates differ by country, however, limiting their comparability.
## 1209 Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (December 31) London prices. This item shows reserves expressed in terms of the number of months of imports of goods and services they could pay for [Reserves/(Imports/12)].
## 1210 Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including withdrawals for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002.
## 1211 Population living in slums is the proportion of the urban population living in slum households. A slum household is defined as a group of individuals living under the same roof lacking one or more of the following conditions: access to improved water, access to improved sanitation, sufficient living area, housing durability, and security of tenure, as adopted in the Millennium Development Goal Target 7.D. The successor, the Sustainable Development Goal 11.1.1, considers inadequate housing (housing affordability) to complement the above definition of slums/informal settlements.
## 1212 Birds are listed for countries included within their breeding or wintering ranges. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.
## 1213 Methane emissions from energy processes are emissions from the production, handling, transmission, and combustion of fossil fuels and biofuels.
## 1214 Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.
## 1215 Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels.
## 1216 Multilateral debt service is the repayment of principal and interest to the World Bank, regional development banks, and other multilateral agencies. public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity.
## 1217 Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Data are in current U.S. dollars.
## 1218 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 1219 Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IDA is the International Development Association, the concessional loan window of the World Bank Group. Data are in current U.S. dollars.
## 1220 Public and publicly guaranteed debt outstanding from the International Bank for Reconstruction and Development (IBRD) is nonconcessional. Nonconcessional debt excludes loans with an original grant element of 35 percent or more. Data are in current U.S. dollars.
## 1221 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 1222 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 1223 The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.
## 1224 Charges for the use of intellectual property are payments and receipts between residents and nonresidents for the authorized use of proprietary rights (such as patents, trademarks, copyrights, industrial processes and designs including trade secrets, and franchises) and for the use, through licensing agreements, of produced originals or prototypes (such as copyrights on books and manuscripts, computer software, cinematographic works, and sound recordings) and related rights (such as for live performances and television, cable, or satellite broadcast). Data are in current U.S. dollars.
## 1225 Net errors and omissions constitute a residual category needed to ensure that accounts in the balance of payments statement sum to zero. Net errors and omissions are derived as the balance on the financial account minus the balances on the current and capital accounts. Data are in current U.S. dollars.
## 1226 Goods imports refer to all movable goods (including nonmonetary gold) involved in a change of ownership from nonresidents to residents. Data are in current U.S. dollars.
## 1227 Average precipitation is the long-term average in depth (over space and time) of annual precipitation in the country. Precipitation is defined as any kind of water that falls from clouds as a liquid or a solid.
## 1228 Fertilizer consumption measures the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including ground rock phosphate). Traditional nutrients--animal and plant manures--are not included. For the purpose of data dissemination, FAO has adopted the concept of a calendar year (January to December). Some countries compile fertilizer data on a calendar year basis, while others are on a split-year basis. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.
## 1229 Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.
## 1230 The periodicity and timeliness indicator assesses the availability and periodicity of key socioeconomic indicators. It measures the extent to which data are made accessible to users through transformation of source data into timely statistical outputs. The periodicity score is calculated as the weighted average of 10 underlying indicator scores. The final periodicity score contributes 1/3 of the overall Statistical Capacity Indicator score.
## 1231 Gender equality assesses the extent to which the country has installed institutions and programs to enforce laws and policies that promote equal access for men and women in education, health, the economy, and protection under law.
## 1232 Public Private Partnerships in transport (current US$) refers to commitments to infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.
## 1233 Time to prepare and pay taxes is the time, in hours per year, it takes to prepare, file, and pay (or withhold) three major types of taxes: the corporate income tax, the value added or sales tax, and labor taxes, including payroll taxes and social security contributions.
## 1234 Border compliance captures the time and cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. The time and cost for this segment include time and cost for customs clearance and inspection procedures conducted by other government agencies.
## 1235 Firms competing against unregistered firms are the percentage of firms competing against unregistered or informal firms.
## 1236 New businesses registered are the number of new limited liability corporations (or its equivalent) registered in the calendar year.
## 1237 Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, social assistance benefits, and employer social benefits in cash and in kind.
## 1238 Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue.
## 1239 Grants and other revenue include grants from other foreign governments, international organizations, and other government units; interest; dividends; rent; requited, nonrepayable receipts for public purposes (such as fines, administrative fees, and entrepreneurial income from government ownership of property); and voluntary, unrequited, nonrepayable receipts other than grants.
## 1240 Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (primary education or less, % of population ages 15+).
## 1241 Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
## 1242 Ratio of bank liquid reserves to bank assets is the ratio of domestic currency holdings and deposits with the monetary authorities to claims on other governments, nonfinancial public enterprises, the private sector, and other banking institutions.
## 1243 Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for industry are total withdrawals for direct industrial use (including withdrawals for cooling thermoelectric plants). Data are for the most recent year available for 1987-2002.
## 1244 Rural population below 5m is the percentage of the total population, living in areas where the elevation is 5 meters or less.
## 1245 Percent of population exposed to ambient concentrations of PM2.5 that exceed the World Health Organization (WHO) Interim Target 3 (IT-3) is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 15 micrograms per cubic meter. The Air Quality Guideline (AQG) of 10 micrograms per cubic meter is recommended by the WHO as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed.
## 1246 Agricultural methane emissions are emissions from animals, animal waste, rice production, agricultural waste burning (nonenergy, on-site), and savanna burning.
## 1247 Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of natural gas as an energy source.
## 1248 Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants.
## 1249 Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity.
## 1250 Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. Data are in constant 2020 U.S. dollars.
## 1251 Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Nonconcessional financial flows cover all disbursements except those made through concessional lending facilities. Regional development banks are the African Development Bank, in Tunis, Tunisia, which serves all of Africa, including North Africa; the Asian Development Bank, in Manila, Philippines, which serves South and Central Asia and East Asia and Pacific; the European Bank for Reconstruction and Development, in London, United Kingdom, which serves Europe and Central Asia; and the Inter-American Development Bank, in Washington, D.C., which serves the Americas. Aggregates include amounts for economies not specified elsewhere. Data are in current U.S. dollars.
## 1252 Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IMF is the International Monetary Fund, which provides concessional lending through the Poverty Reduction and Growth Facility and the IMF Trust Fund. Data are in current U.S. dollars.
## 1253 Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Total reserves includes gold.
## 1254 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 1255 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 1256 Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values.
## 1257 Insurance and financial services cover various types of insurance provided to nonresidents by resident insurance enterprises and vice versa, and financial intermediary and auxiliary services (except those of insurance enterprises and pension funds) exchanged between residents and nonresidents.
## 1258 Net primary income refers to receipts and payments of employee compensation paid to nonresident workers and investment income (receipts and payments on direct investment, portfolio investment, other investments, and receipts on reserve assets). Data are in current U.S. dollars.
## 1259 Primary income payments refer to employee compensation paid to nonresident workers and investment income (payments on direct investment, portfolio investment, other investments). Data are in current U.S. dollars.
## 1260 Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.
## 1261 Battle-related deaths are deaths in battle-related conflicts between warring parties in the conflict dyad (two conflict units that are parties to a conflict). Typically, battle-related deaths occur in warfare involving the armed forces of the warring parties. This includes traditional battlefield fighting, guerrilla activities, and all kinds of bombardments of military units, cities, and villages, etc. The targets are usually the military itself and its installations or state institutions and state representatives, but there is often substantial collateral damage in the form of civilians being killed in crossfire, in indiscriminate bombings, etc. All deaths--military as well as civilian--incurred in such situations, are counted as battle-related deaths.
## 1262 Merchandise exports to low- and middle-income economies in East Asia and Pacific are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the East Asia and Pacific region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 1263 Travel services (% of commercial service imports) covers goods and services acquired from an economy by travelers in that economy for their own use during visits of less than one year for business or personal purposes. Travel services include the goods and services consumed by travelers, such as lodging, meals, and transport (within the economy visited).
## 1264 Merchandise imports show the c.i.f. value of goods received from the rest of the world valued in current U.S. dollars.
## 1265 Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
## 1266 Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
## 1267 Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.
## 1268 The number of technicians participated in Research & Development (R&D), expressed as per million. Technicians and equivalent staff are people who perform scientific and technical tasks involving the application of concepts and operational methods, normally under the supervision of researchers. R&D covers basic research, applied research, and experimental development.
## 1269 Male population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 1270 Female population between the ages 35 to 39 as a percentage of the total female population.
## 1271 Female population between the ages 10 to 14 as a percentage of the total female population.
## 1272 Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.
## 1273 Vitamin A supplementation refers to the percentage of children ages 6-59 months old who received at least two doses of vitamin A in the previous year.
## 1274 Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
## 1275 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
## 1276 Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 1277 Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 1278 Average working hours of children studying and working refer to the average weekly working hours of those children who are attending school in combination with economic activity.
## 1279 Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).
## 1280 Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
## 1281 Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
## 1282 National poverty headcount ratio is the percentage of the population living below the national poverty line(s). National estimates are based on population-weighted subgroup estimates from household surveys. For economies for which the data are from EU-SILC, the reported year is the income reference year, which is the year before the survey year.
## 1283 The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.
## 1284 Share of current health expenditures funded from domestic public sources for health. Domestic public sources include domestic revenue as internal transfers and grants, transfers, subsidies to voluntary health insurance beneficiaries, non-profit institutions serving households (NPISH) or enterprise financing schemes as well as compulsory prepayment and social health insurance contributions. They do not include external resources spent by governments on health.
## 1285 Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, expressed in US dollars (2011 PPP). The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending.
## 1286 Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
## 1287 Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.
## 1288 Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hour of life, before significant postnatal weight loss has occurred.
## 1289 The percentage of the population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.
## 1290 Percentage of pregnant women with HIV who receive antiretroviral medicine for prevention of mother-to-child transmission (PMTCT).
## 1291 The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.
## 1292 Number of neonates dying before reaching 28 days of age.
## 1293 Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.
## 1294 General government expenditure on education (current, capital, and transfers) is expressed as a percentage of total general government expenditure on all sectors (including health, education, social services, etc.). It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.
## 1295 The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
## 1296 Secondary education teachers includes full-time and part-time teachers.
## 1297 Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
## 1298 The percentage of population ages 25 and over that attained or completed upper secondary education.
## 1299 Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
## 1300 Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.
## 1301 Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
## 1302 Trained teachers in preprimary education are the percentage of preprimary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
## 1303 Gender parity index for youth literacy rate is the ratio of females to males ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
## 1304 Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.
## 1305 Purchasing power parity (PPP) conversion factor is a spatial price deflator and currency converter that controls for price level differences between countries, thereby allowing volume comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for GDP.
## 1306 Gross savings are calculated as gross national income less total consumption, plus net transfers. Data are in current U.S. dollars.
## 1307 GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.
## 1308 This indicator provides values for gross domestic product (GDP) expressed in current international dollars, converted by purchasing power parity (PPP) conversion factor. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. PPP conversion factor is a spatial price deflator and currency converter that eliminates the effects of the differences in price levels between countries. From April 2020, “GDP: linked series (current LCU)” [NY.GDP.MKTP.CN.AD] is used as underlying GDP in local currency unit so that it’s in line with time series of PPP conversion factors for GDP, which are extrapolated with linked GDP deflators.
## 1309 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country.
## 1310 Net national savings are equal to gross national savings less the value of consumption of fixed capital.
## 1311 Education expenditure refers to the current operating expenditures in education, including wages and salaries and excluding capital investments in buildings and equipment.
## 1312 Annual growth rate for industrial (including construction) value added based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. Industry corresponds to ISIC divisions 05-43 and includes manufacturing (ISIC divisions 10-33). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4.
## 1313 Agriculture, forestry, and fishing corresponds to ISIC divisions 01-03 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Data are in constant 2015 prices, expressed in U.S. dollars.
## 1314 Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in constant local currency.
## 1315 Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments.
## 1316 Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). Data are in current local currency.
## 1317 Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
## 1318 Merchandise exports to low- and middle-income economies in South Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the South Asia region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 1319 Export unit value indices come from UNCTAD's trade database. Unit value indices are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, interna¬tional and national sources, and UNCTAD secretariat estimates.
## 1320 Merchandise imports from low- and middle-income economies in Europe and Central Asia are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Europe and Central Asia region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
## 1321 Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
## 1322 Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
## 1323 International outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited. The data on outbound tourists refer to the number of departures, not to the number of people traveling. Thus a person who makes several trips from a country during a given period is counted each time as a new departure.
## 1324 Male population is based on the de facto definition of population, which counts all male residents regardless of legal status or citizenship.
## 1325 Female population between the ages 70 to 74 as a percentage of the total female population.
## 1326 Female population between the ages 45 to 49 as a percentage of the total female population.
## 1327 Female population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
## 1328 Women who were first married by age 18 refers to the percentage of women ages 20-24 who were first married by age 18.
## 1329 Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
## 1330 Wage workers (also known as employees) are people who hold explicit (written or oral) or implicit employment contracts that provide basic remuneration that does not depend directly on the revenue of the unit for which they work.
## 1331 The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
## 1332 The ratio of the labor force with intermediate education to the working-age population with intermediate education. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
## 1333 Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.
## 1334 Average working hours of children studying and working refer to the average weekly working hours of those children who are attending school in combination with economic activity.
## 1335 Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Manufacturing corresponds to division 3 (ISIC revision 2), category D (ISIC revision 3), or category C (ISIC revision 4). Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
## 1336 Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.
## 1337 Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
## 1338 Average transaction cost of sending remittance from a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database from a specific country.
## 1339 Poverty gap at $2.15 a day (2017 PPP) is the mean shortfall in income or consumption from the poverty line $2.15 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.
## 1340 Public expenditure on health from domestic sources per capita expressed in international dollars at purchasing power parity.
## 1341 Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
## 1342 Prevalence of wasting, male,is the proportion of boys under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.
## 1343 Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.
## 1344 The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
## 1345 The proportion of population at risk of impoverishing expenditure when surgical care is required. Impoverishing expenditure is defined as direct out of pocket payments for surgical and anaesthesia care which drive people below a poverty threshold (using a threshold of $1.90 PPP/day).
## 1346 Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.
## 1347 The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.
## 1348 Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.
## 1349 Prevalence of anemia, non-pregnant women, is the percentage of non-pregnant women whose hemoglobin level is less than 120 grams per liter at sea level.
## 1350 Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.
## 1351 Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
## 1352 Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school.
## 1353 Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
## 1354 Female pupils as a percentage of total pupils at secondary level includes enrollments in public and private schools.
## 1355 Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.
## 1356 Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.
## 1357 Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
## 1358 Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
## 1359 Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
## 1360 Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.
## 1361 Benefit incidence of social protection and labor programs (SPL) to poorest quintile shows the percentage of total social protection and labor programs benefits received by the poorest 20% of the population. Social protection and labor programs include social insurance, social safety nets, and unemployment benefits and active labor market programs. Estimates include both direct and indirect beneficiaries.
## 1362 Net primary income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ownership of foreign financial claims (interest, dividends, rent, etc.) and nonfinancial property income (patents, copyrights, etc.). Data are in current U.S. dollars.
## 1363 GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant 2015 prices, expressed in U.S. dollars.
## 1364 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current local currency.
## 1365 Gross value added at basic prices (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at basic prices is derived by subtracting net product taxes from GDP. Data are in current U.S. dollars.
## 1366 Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.
## 1367 Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth.
## 1368 Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Food, beverages, and tobacco correspond to ISIC divisions 15 and 16.
## 1369 Financial intermediation services indirectly measured (FISIM) is an indirect measure of the value of financial intermediation services (i.e. output) provided but for which financial institutions do not charge explicitly as compared to explicit bank charges. Although the 1993 SNA recommends that the FISIM are allocated as intermediate and final consumption to the users, many countries still make a global (negative) adjustment to the sum of gross value added.
## 1370 Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in constant 2015 prices, expressed in U.S. dollars.
## 1371 Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in current local currency.
## 1372 Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). This estimate includes any statistical discrepancy in the use of resources relative to the supply of resources.
## 1373 Household and NPISHs final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. This indicator includes the expenditures of nonprofit institutions serving households even when reported separately by the country. Data are in current U.S. dollars.
## 1374 Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents assessed how often the shipments to assessed markets reach the consignee within the scheduled or expected delivery time, on a rating ranging from 1 (hardly ever) to 5 (nearly always). Scores are averaged across all respondents.
## 1375 The data sources overall score is a composity measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country’s institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.
## 1376 Property rights and rule-based governance assess the extent to which private economic activity is facilitated by an effective legal system and rule-based governance structure in which property and contract rights are reliably respected and enforced.
## 1377 Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a new technical solution to a problem. A patent provides protection for the invention to the owner of the patent for a limited period, generally 20 years.
## 1378 Profit tax is the amount of taxes on profits paid by the business.
## 1379 Number of procedures to register property is the number of procedures required for a businesses to secure rights to property.
## 1380 Firms formally registered when operations started are the percentage of firms formally registered when they started operations in the country.
## 1381 Power outages are the average number of power outages that establishments experience in a typical month.
## 1382 The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.
## 1383 Compensation of employees consists of all payments in cash, as well as in kind (such as food and housing), to employees in return for services rendered, and government contributions to social insurance schemes such as social security and pensions that provide benefits to employees.
## 1384 Taxes on exports are all levies on goods being transported out of the country or services being delivered to nonresidents by residents. Rebates on exported goods that are repayments of previously paid general consumption taxes, excise taxes, or import duties are deducted from the gross amounts receivable from these taxes, not from amounts receivable from export taxes.
## 1385 Net acquisition of government financial assets includes domestic and foreign financial claims, SDRs, and gold bullion held by monetary authorities as a reserve asset. The net acquisition of financial assets should be offset by the net incurrence of liabilities.
## 1386 Risk premium on lending is the interest rate charged by banks on loans to private sector customers minus the "risk free" treasury bill interest rate at which short-term government securities are issued or traded in the market. In some countries this spread may be negative, indicating that the market considers its best corporate clients to be lower risk than the government. The terms and conditions attached to lending rates differ by country, however, limiting their comparability.
## 1387 Claims on other sectors of the domestic economy (IFS line 32S..ZK) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds.
## 1388 Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine areas, unclassified areas, littoral (intertidal) areas, and sites protected under local or provincial law are excluded.
## 1389 Population in urban agglomerations of more than one million is the country's population living in metropolitan areas that in 2018 had a population of more than one million people.
## 1390 Droughts, floods and extreme temperatures is the annual average percentage of the population that is affected by natural disasters classified as either droughts, floods, or extreme temperature events. A drought is an extended period of time characterized by a deficiency in a region's water supply that is the result of constantly below average precipitation. A drought can lead to losses to agriculture, affect inland navigation and hydropower plants, and cause a lack of drinking water and famine. A flood is a significant rise of water level in a stream, lake, reservoir or coastal region. Extreme temperature events are either cold waves or heat waves. A cold wave can be both a prolonged period of excessively cold weather and the sudden invasion of very cold air over a large area. Along with frost it can cause damage to agriculture, infrastructure, and property. A heat wave is a prolonged period of excessively hot and sometimes also humid weather relative to normal climate patterns of a certain region. Population affected is the number of people injured, left homeless or requiring immediate assistance during a period of emergency resulting from a natural disaster; it can also include displaced or evacuated people. Average percentage of population affected is calculated by dividing the sum of total affected for the period stated by the sum of the annual population figures for the period stated.
## 1391 Agricultural nitrous oxide emissions are emissions produced through fertilizer use (synthetic and animal manure), animal waste management, agricultural waste burning (nonenergy, on-site), and savanna burning.
## 1392 Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.
## 1393 GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to current international dollars using purchasing power parity rates based on the 2017 ICP round. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.
## 1394 Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.
## 1395 Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Data are in constant 2020 U.S. dollars.
## 1396 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 1397 Nonguaranteed long-term debt privately placed from the International Finance Corporation (IFC). Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars.
## 1398 Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. This calculation assumes that the PV of loans with a negative grant element is equal to the nominal value of the loan. Data are in current U.S. dollars.
## 1399 Net Official development assistance (ODA) comprises grants or loans to developing countries and territories on the OECD/DAC list of aid recipients that are undertaken by the official sector with promotion of economic development and welfare as the main objective and at concessional financial terms.
## 1400 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 1401 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 1402 Travel covers goods and services acquired from an economy by travelers for their own use during visits of less than one year in that economy for either business or personal purposes. Travel includes local transport (i.e., transport within the economy being visited and provided by a resident of that economy), but excludes international transport (which is included in passenger transport. Travel also excludes goods for resale, which are included in general merchandise.
## 1403 Reserves and related items is the net change in a country's holdings of international reserves resulting from transactions on the current, capital, and financial accounts. Reserve assets are those external assets that are readily available to and controlled by monetary authorities for meeting balance of payments financing needs, and include holdings of monetary gold, special drawing rights (SDRs), reserve position in the International Monetary Fund (IMF), and other reserve assets. Also included are net credit and loans from the IMF (excluding reserve position) and total exceptional financing. Data are in current U.S. dollars.
## 1404 Imports of goods, services and primary income is the sum of goods imports, service imports and primary income payments. Data are in current U.S. dollars.
## 1405 Urban land area in square kilometers, based on a combination of population counts (persons), settlement points, and the presence of Nighttime Lights. Areas are defined as urban where contiguous lighted cells from the Nighttime Lights or approximated urban extents based on buffered settlement points for which the total population is greater than 5,000 persons.
## 1406 Arable land (in hectares) includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.
## 1407 Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in current U.S. dollars.
## 1408 Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). Data are in constant local currency.
## 1409 General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation.
## 1410 Logistics Performance Index overall score reflects perceptions of a country's logistics based on efficiency of customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010).
## 1411 Port container traffic measures the flow of containers from land to sea transport modes, and vice versa, in twenty-foot equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment traffic is counted as two lifts at the intermediate port (once to off-load and again as an outbound lift) and includes empty units.
## 1412 The Statistical Capacity Indicator is a composite score assessing the capacity of a country’s statistical system. It is based on a diagnostic framework assessing the following areas: methodology; data sources; and periodicity and timeliness. Countries are scored against 25 criteria in these areas, using publicly available information and/or country input. The overall Statistical Capacity score is then calculated as a simple average of all three area scores on a scale of 0-100.
## 1413 Fiscal policy assesses the short- and medium-term sustainability of fiscal policy (taking into account monetary and exchange rate policy and the sustainability of the public debt) and its impact on growth.
## 1414 Public Private Partnerships in ICT (current US$) refers to commitments to projects in ICT backbone infrastructure (including land based and submarine cables) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars and available 2015 onwards only.
## 1415 Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.
## 1416 Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study.
## 1417 Bribery incidence is the percentage of firms experiencing at least one bribe payment request across 6 public transactions dealing with utilities access, permits, licenses, and taxes.
## 1418 New businesses registered are the number of new limited liability corporations (or its equivalent) registered in the calendar year.
## 1419 Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefits, and other expenses such as rent and dividends.
## 1420 Other taxes include employer payroll or labor taxes, taxes on property, and taxes not allocable to other categories, such as penalties for late payment or nonpayment of taxes.
## 1421 Grants and other revenue include grants from other foreign governments, international organizations, and other government units; interest; dividends; rent; requited, nonrepayable receipts for public purposes (such as fines, administrative fees, and entrepreneurial income from government ownership of property); and voluntary, unrequited, nonrepayable receipts other than grants.
## 1422 Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (older adults, % of population ages 25+).
## 1423 Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Data are period averages.
## 1424 Domestic credit to private sector by banks refers to financial resources provided to the private sector by other depository corporations (deposit taking corporations except central banks), such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises.
## 1425 Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002.
## 1426 Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.
## 1427 Percent of population exposed to ambient concentrations of PM2.5 that exceed the World Health Organization (WHO) Interim Target 2 (IT-2) is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 25 micrograms per cubic meter. The Air Quality Guideline (AQG) of 10 micrograms per cubic meter is recommended by the WHO as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed.
## 1428 Hydrofluorocarbons, used as a replacement for chlorofluorocarbons, are used mainly in refrigeration and semiconductor manufacturing.
## 1429 Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source.
## 1430 Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids.
## 1431 Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. Data are in current U.S. dollars.
## 1432 Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. Data are in current U.S. dollars.
## 1433 Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Concessional financial flows cover disbursements made through concessional lending facilities. Regional development banks are the African Development Bank, in Tunis, Tunisia, which serves all of Africa, including North Africa; the Asian Development Bank, in Manila, Philippines, which serves South and Central Asia and East Asia and Pacific; the European Bank for Reconstruction and Development, in London, United Kingdom, which serves Europe and Central Asia; and the Inter-American Development Bank, in Washington, D.C., which serves the Americas. Aggregates include amounts for economies not specified elsewhere. Data are in current U.S. dollars.
## 1434 Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO) and United Nations Institute for Disarmament Research (UNIDIR). Data are in current U.S. dollars.
## 1435 Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt. Data are in current U.S. dollars.
## 1436 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 1437 Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.
## 1438 Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.
## 1439 Exports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, net exports of goods under merchanting, nonmonetary gold, and services. Data are in current U.S. dollars.
## 1440 The net financial account shows net acquisition and disposal of financial assets and liabilities. It measures how net lending to or borrowing from nonresidents is financed, and is conceptually equal to the sum of the balances on the current and capital accounts. Data are in current U.S. dollars.
## 1441 Communications, computer, information, and other services cover international telecommunications; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaneous business, professional, and technical services; personal, cultural, and recreational services; manufacturing services on physical inputs owned by others; and maintenance and repair services and government services not included elsewhere.
## 1442 Land area below 5m is the percentage of total land where the elevation is 5 meters or less.
## SOURCE_ORGANIZATION
## 1 United Nations, Comtrade database through the WITS platform.
## 2 World Trade Organization.
## 3 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 4 World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
## 5 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
## 6 World Trade Organization, and World Bank GDP estimates.
## 7 World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.
## 8 World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 9 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 10 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 11 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 12 (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
## 13 Food and Agriculture Organization of the United Nations (FAO)
## 14 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 15 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 16 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 17 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 18 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 19 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 20 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 21 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 22 Government statistical agencies. Data for EU countires are from the EUROSTAT
## 23 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 24 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 25 World Health Organization and World Bank. 2021. Global Monitoring Report on Financial Protection in Health 2021.
## 26 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 27 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 28 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 29 WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 2000 to 2017. Geneva, World Health Organization, 2019
## 30 UNAIDS estimates.
## 31 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 32 Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
## 33 Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
## 34 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 35 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 36 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 37 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 38 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 39 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 40 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 41 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 42 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 43 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 44 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 45 World Bank national accounts data, and OECD National Accounts data files.
## 46 World Bank national accounts data, and OECD National Accounts data files.
## 47 World Bank national accounts data, and OECD National Accounts data files.
## 48 World Bank national accounts data, and OECD National Accounts data files.
## 49 World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
## 50 Data on health impacts from exposure to ambient PM2.5 pollution and household air pollution are from the Global Burden of Disease 2013 study. Data are provided by the Institute for Health Metrics and Evaluation at the University of Washington.
## 51 World Bank national accounts data, and OECD National Accounts data files.
## 52 World Bank national accounts data, and OECD National Accounts data files.
## 53 Derived using World Bank national accounts data and OECD National Accounts data files, and employment data from International Labour Organization, ILOSTAT database.
## 54 World Bank national accounts data, and OECD National Accounts data files.
## 55 World Bank national accounts data, and OECD National Accounts data files.
## 56 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 57 Stockholm International Peace Research Institute (SIPRI), Arms Transfers Programme (http://portal.sipri.org/publications/pages/transfer/splash).
## 58 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at: https://lpi.worldbank.org/. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
## 59 United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.
## 60 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 61 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 62 World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
## 63 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.
## 64 World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
## 65 UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.
## 66 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 67 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 68 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 69 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 70 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 71 United Nations High Commissioner for Refugees (UNHCR), Refugee Data Finder at https://www.unhcr.org/refugee-statistics/.
## 72 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 73 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 74 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 75 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 76 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 77 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 78 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 79 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 80 Government statistical agencies. Data for EU countires are from the EUROSTAT
## 81 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 82 WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).
## 83 World Health Organization, Global Tuberculosis Report.
## 84 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 85 WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 2000 to 2017. Geneva, World Health Organization, 2019
## 86 UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
## 87 World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).
## 88 UNAIDS estimates.
## 89 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 90 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 91 Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
## 92 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 93 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 94 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 95 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 96 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 97 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 98 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 99 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 100 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 101 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 102 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 103 World Bank national accounts data, and OECD National Accounts data files.
## 104 World Bank national accounts data, and OECD National Accounts data files.
## 105 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 106 World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
## 107 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 108 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 109 Derived using World Bank national accounts data and OECD National Accounts data files, and employment data from International Labour Organization, ILOSTAT database.
## 110 World Bank national accounts data, and OECD National Accounts data files.
## 111 World Bank national accounts data, and OECD National Accounts data files.
## 112 World Bank national accounts data, and OECD National Accounts data files.
## 113 World Bank national accounts data, and OECD National Accounts data files.
## 114 World Bank national accounts data, and OECD National Accounts data files.
## 115 Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.
## 116 International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
## 117 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 118 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 119 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 120 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 121 World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.
## 122 World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.
## 123 World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.
## 124 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 125 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 126 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 127 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 128 United Nations Population Division. World Population Prospects: 2019 Revision.
## 129 Food and Agriculture Organization of the United Nations (FAO)
## 130 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 131 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 132 Derived using data from International Labour Organization, ILOSTAT database.
## 133 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 134 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 135 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 136 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 137 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 138 Government statistical agencies. Data for EU countires are from the EUROSTAT
## 139 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 140 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 141 World Health Organization and World Bank. 2021. Global Monitoring Report on Financial Protection in Health 2021.
## 142 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 143 UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
## 144 UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
## 145 World Health Organization, Global Health Observatory Data Repository/World Health Statistics.
## 146 UNAIDS estimates.
## 147 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 148 Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
## 149 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 150 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 151 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 152 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 153 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 154 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 155 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 156 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 157 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 158 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 159 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 160 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 161 International Monetary Fund, International Financial Statistics.
## 162 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 163 World Bank national accounts data, and OECD National Accounts data files.
## 164 World Bank national accounts data, and OECD National Accounts data files.
## 165 World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.
## 166 World Bank national accounts data files.
## 167 World Bank national accounts data, and OECD National Accounts data files.
## 168 World Bank national accounts data, and OECD National Accounts data files.
## 169 World Bank national accounts data, and OECD National Accounts data files.
## 170 World Bank national accounts data, and OECD National Accounts data files.
## 171 World Bank national accounts data, and OECD National Accounts data files.
## 172 World Bank national accounts data, and OECD National Accounts data files.
## 173 World Bank national accounts data, and OECD National Accounts data files.
## 174 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at: https://lpi.worldbank.org/. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
## 175 Internation Union of Railways (UIC), OECD Statistics
## 176 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 177 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 178 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 179 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 180 World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
## 181 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 182 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 183 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 184 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 185 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 186 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 187 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 188 Global Findex Database, World Bank (https://www.worldbank.org/en/publication/globalfindex).
## 189 International Monetary Fund, International Financial Statistics and data files.
## 190 International Monetary Fund, Financial Access Survey.
## 191 Food and Agriculture Organization, AQUASTAT data, and World Bank and OECD GDP estimates.
## 192 United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species.
## 193 Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.
## 194 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions.
## 195 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 196 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 197 World Bank, International Debt Statistics.
## 198 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 199 World Bank, International Debt Statistics.
## 200 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 201 World Bank, International Debt Statistics.
## 202 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 203 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 204 World Bank staff estimates based on IMF balance of payments data, and World Bank and OECD GDP estimates.
## 205 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 206 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 207 Food and Agriculture Organization, electronic files and web site.
## 208 Center for International Earth Science Information Network - CIESIN - Columbia University, and CUNY Institute for Demographic Research - CIDR - City University of New York. 2021. Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/d1x1-d702.
## 209 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 210 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 211 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 212 World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
## 213 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
## 214 United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.
## 215 World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.
## 216 Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2019 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
## 217 World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
## 218 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 219 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 220 (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
## 221 United Nations Children's Fund, Division of Data, Analysis, Planning and Monitoring (2019). UNICEF Global Databases on Iodized salt, New York, June 2019
## 222 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 223 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 224 Derived using data from International Labour Organization, ILOSTAT database.
## 225 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 226 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 227 Derived using data from International Labour Organization, ILOSTAT database. The data retrieved on June 15, 2021.
## 228 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 229 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 230 Government statistical agencies. Data for EU countires are from the EUROSTAT
## 231 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 232 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 233 World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019. NOTE: This indicator has been discontinued as of December 2021. Please see the following indicators: SH.UHC.FBP1.ZS, SH.UHC.FBP2.ZS, SH.UHC.FBP1.TO and SH.UHC.FBP2.TO.
## 234 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 235 UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
## 236 UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
## 237 WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 2000 to 2017. Geneva, World Health Organization, 2019
## 238 UNAIDS estimates.
## 239 Demographic and Health Surveys (DHS).
## 240 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 241 Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
## 242 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 243 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 244 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 245 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 246 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 247 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 248 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 249 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 250 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 251 International Monetary Fund, International Financial Statistics.
## 252 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 253 International Monetary Fund, International Financial Statistics, supplemented by World Bank staff estimates.
## 254 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 255 World Bank national accounts data, and OECD National Accounts data files.
## 256 World Bank national accounts data, and OECD National Accounts data files.
## 257 World Bank national accounts data, and OECD National Accounts data files.
## 258 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 259 World Bank national accounts data, and OECD National Accounts data files.
## 260 World Bank national accounts data, and OECD National Accounts data files.
## 261 World Bank national accounts data, and OECD National Accounts data files.
## 262 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 263 World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
## 264 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 265 World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
## 266 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
## 267 World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
## 268 UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.
## 269 United Nations Population Division. World Population Prospects: 2019 Revision.
## 270 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 271 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 272 World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
## 273 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 274 United Nations Population Division, Trends in Total Migrant Stock: 2012 Revision.
## 275 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 276 Derived using data from International Labour Organization, ILOSTAT database. The data was retrieved on February 8, 2022.
## 277 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 278 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 279 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 280 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 281 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 282 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 283 Government statistical agencies. Data for EU countires are from the EUROSTAT
## 284 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 285 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 286 World Health Organization, Global Tuberculosis Report.
## 287 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 288 The country data compiled, adjusted and used in the estimation model by the Maternal Mortality Estimation Inter-Agency Group (MMEIG). The country data were compiled from the following sources: civil registration and vital statistics; specialized studies on maternal mortality; population based surveys and censuses; other available data sources including data from surveillance sites.
## 289 UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
## 290 UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
## 291 UNAIDS estimates.
## 292 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 293 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 294 Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
## 295 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 296 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 297 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 298 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 299 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 300 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 301 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 302 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 303 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 304 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 305 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 306 World Bank national accounts data, and OECD National Accounts data files.
## 307 World Bank national accounts data, and OECD National Accounts data files.
## 308 World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
## 309 World Bank national accounts data, and OECD National Accounts data files.
## 310 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 311 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 312 World Bank national accounts data, and OECD National Accounts data files.
## 313 World Bank national accounts data, and OECD National Accounts data files.
## 314 World Bank national accounts data, and OECD National Accounts data files.
## 315 World Bank national accounts data, and OECD National Accounts data files.
## 316 World Bank national accounts data, and OECD National Accounts data files.
## 317 World Bank national accounts data, and OECD National Accounts data files.
## 318 Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.
## 319 Netcraft (http://www.netcraft.com/)
## 320 The Internal Displacement Monitoring Centre (http://www.internal-displacement.org/)
## 321 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 322 United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.
## 323 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 324 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.
## 325 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.
## 326 United Nations Population Division. World Urbanization Prospects: 2018 Revision.
## 327 (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
## 328 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 329 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 330 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 331 Demographic and Health Surveys.
## 332 United Nations Population Division, World Population Prospects.
## 333 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 334 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 335 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 336 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 337 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 338 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 339 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 340 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 341 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 342 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 343 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 344 World Health Organization and World Bank. 2021. Global Monitoring Report on Financial Protection in Health 2021.
## 345 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 346 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 347 International Diabetes Federation, Diabetes Atlas.
## 348 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 349 WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).
## 350 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 351 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 352 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 353 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 354 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 355 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 356 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 357 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 358 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 359 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 360 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 361 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 362 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 363 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 364 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 365 World Bank national accounts data, and OECD National Accounts data files.
## 366 World Bank national accounts data, and OECD National Accounts data files.
## 367 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 368 World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.
## 369 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 370 World Bank staff estimates using data from the United Nations Statistics Division's Statistical Yearbook, and the UNESCO Institute for Statistics online database.
## 371 World Bank national accounts data, and OECD National Accounts data files.
## 372 World Bank national accounts data, and OECD National Accounts data files.
## 373 World Bank national accounts data, and OECD National Accounts data files.
## 374 World Bank national accounts data, and OECD National Accounts data files.
## 375 World Bank national accounts data, and OECD National Accounts data files.
## 376 World Bank national accounts data, and OECD National Accounts data files.
## 377 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at: https://lpi.worldbank.org/. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
## 378 Internation Union of Railways (UIC)
## 379 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at: https://lpi.worldbank.org/. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
## 380 International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
## 381 World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).
## 382 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 383 World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
## 384 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 385 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 386 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 387 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 388 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 389 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
## 390 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 391 Global Findex Database, World Bank (https://www.worldbank.org/en/publication/globalfindex).
## 392 International Monetary Fund, International Financial Statistics and data files.
## 393 International Monetary Fund, International Financial Statistics and data files.
## 394 Food and Agriculture Organization, AQUASTAT data.
## 395 Center for International Earth Science Information Network - CIESIN - Columbia University, and CUNY Institute for Demographic Research - CIDR - City University of New York. 2021. Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/d1x1-d702.
## 396 Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.
## 397 World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
## 398 Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
## 399 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 400 World Bank.
## 401 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 402 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 403 World Bank, International Debt Statistics.
## 404 World Bank, International Debt Statistics.
## 405 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 406 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 407 World Federation of Exchanges database.
## 408 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 409 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 410 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 411 Food and Agriculture Organization, electronic files and web site.
## 412 Food and Agriculture Organization, electronic files and web site.
## 413 International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.
## 414 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 415 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 416 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 417 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 418 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 419 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 420 World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
## 421 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 422 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD value added estimates.
## 423 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 424 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
## 425 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
## 426 International Monetary Fund, Financial Soundness Indicators.
## 427 German Agency for International Cooperation (GIZ).
## 428 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 429 World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
## 430 Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
## 431 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 432 World Bank Global Electrification Database from "Tracking SDG 7: The Energy Progress Report" led jointly by the custodian agencies: the International Energy Agency (IEA), the International Renewable Energy Agency (IRENA), the United Nations Statistics Division (UNSD), the World Bank and the World Health Organization (WHO).
## 433 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. IMF central government expense estimates are used for the denominator.
## 434 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 435 World Bank, International Debt Statistics.
## 436 World Bank, International Debt Statistics.
## 437 World Bank, International Debt Statistics.
## 438 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 439 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 440 International Monetary Fund, Balance of Payments database, and World Bank, International Debt Statistics.
## 441 World Bank, International Debt Statistics, and OECD.
## 442 International Monetary Fund, Balance of Payments database, supplemented by data from the United Nations Conference on Trade and Development and official national sources.
## 443 Food and Agriculture Organization, electronic files and web site.
## 444 Food and Agriculture Organization, electronic files and web site.
## 445 World Bank national accounts data, and OECD National Accounts data files.
## 446 World Bank national accounts data, and OECD National Accounts data files.
## 447 World Bank national accounts data, and OECD National Accounts data files.
## 448 World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.
## 449 Stockholm International Peace Research Institute (SIPRI), Arms Transfers Programme (http://portal.sipri.org/publications/pages/transfer/splash).
## 450 International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
## 451 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
## 452 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 453 World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
## 454 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 455 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 456 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/)
## 457 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 458 Public Expenditure and Financial Accountability (PEFA). Ministry of Finance (MoF).
## 459 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 460 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 461 Global Findex Database, World Bank (https://www.worldbank.org/en/publication/globalfindex).
## 462 International Monetary Fund, International Financial Statistics and data files.
## 463 World Bank, International Debt Statistics.
## 464 Food and Agriculture Organization, AQUASTAT data.
## 465 Center for International Earth Science Information Network - CIESIN - Columbia University, and CUNY Institute for Demographic Research - CIDR - City University of New York. 2021. Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/d1x1-d702.
## 466 European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
## 467 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions.
## 468 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See NY.GDP.MKTP.KD for the denominator's source.
## 469 IEA Statistics © OECD/IEA 2018 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 470 World Bank, International Debt Statistics.
## 471 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 472 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 473 World Bank, International Debt Statistics.
## 474 World Bank, International Debt Statistics.
## 475 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 476 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 477 World Federation of Exchanges database.
## 478 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 479 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 480 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 481 Food and Agriculture Organization, electronic files and web site.
## 482 Food and Agriculture Organization, electronic files and web site.
## 483 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 484 United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx.
## 485 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 486 World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
## 487 World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.
## 488 World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
## 489 UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.
## 490 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 491 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 492 World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
## 493 World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
## 494 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 495 United Nations High Commissioner for Refugees (UNHCR) and UNRWA through UNHCR's Refugee Data Finder at https://www.unhcr.org/refugee-statistics/.
## 496 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 497 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 498 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 499 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 500 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 501 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 502 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 503 World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).
## 504 Government statistical agencies. Data for EU countires are from the EUROSTAT
## 505 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 506 World Health Organization, Global Health Observatory Data Repository (https://www.who.int/data/gho).
## 507 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 508 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 509 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 510 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 511 Data collected by the Lancet Commission on Global Surgery (www.lancetglobalsurgery.org); Data collected by WHO Collaborating Centre for Surgery and Public Health at Lund University from various sources including Ministries of Health or equivalent national regulatory bodies, national official entities such as medical councils, Eurostat, OECD, WHO Euro Health For All Database, WHO EURO Technical resources for health Database; BMJ Glob Health.
## 512 UNAIDS estimates.
## 513 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 514 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 515 United Nations Statistics Division (UNSD)
## 516 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 517 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 518 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 519 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 520 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 521 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 522 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 523 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 524 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 525 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 526 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 527 World Bank national accounts data, and OECD National Accounts data files.
## 528 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 529 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 530 World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
## 531 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 532 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 533 United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.
## 534 World Bank national accounts data, and OECD National Accounts data files.
## 535 World Bank national accounts data, and OECD National Accounts data files.
## 536 World Bank national accounts data, and OECD National Accounts data files.
## 537 World Bank national accounts data, and OECD National Accounts data files.
## 538 United Nations, Comtrade database through the WITS platform.
## 539 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 540 United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.
## 541 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 542 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.
## 543 World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, and IMF and World Bank imports estimates.
## 544 World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.
## 545 World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 546 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 547 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 548 World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
## 549 (1) United Nations Population Division. World Population Prospects: 2019 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
## 550 Food and Agriculture Organization (http://www.fao.org/faostat/en/#home).
## 551 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 552 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 553 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 554 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 555 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 556 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 557 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 558 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 559 Government statistical agencies. Data for EU countires are from the EUROSTAT
## 560 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 561 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 562 World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019. NOTE: This indicator has been discontinued as of December 2021. Please see the following indicators: SH.UHC.FBP1.ZS, SH.UHC.FBP2.ZS, SH.UHC.FBP1.TO and SH.UHC.FBP2.TO.
## 563 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME).
## 564 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 565 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 566 WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 2000 to 2017. Geneva, World Health Organization, 2019
## 567 UNAIDS estimates.
## 568 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 569 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 570 Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
## 571 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 572 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 573 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 574 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 575 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 576 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 577 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 578 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 579 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 580 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 581 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 582 World Bank national accounts data, and OECD National Accounts data files.
## 583 World Bank national accounts data, and OECD National Accounts data files.
## 584 World Bank national accounts data, and OECD National Accounts data files.
## 585 World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.
## 586 World Bank national accounts data, and OECD National Accounts data files.
## 587 Data on health impacts from exposure to ambient PM2.5 pollution and household air pollution are from the Global Burden of Disease 2013 study. Data are provided by the Institute for Health Metrics and Evaluation at the University of Washington.
## 588 World Bank national accounts data, and OECD National Accounts data files.
## 589 World Bank national accounts data, and OECD National Accounts data files.
## 590 World Bank national accounts data, and OECD National Accounts data files.
## 591 World Bank national accounts data, and OECD National Accounts data files.
## 592 World Bank national accounts data, and OECD National Accounts data files.
## 593 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 594 Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.
## 595 World Bank national accounts data, and OECD National Accounts data files.
## 596 International Institute for Strategic Studies, The Military Balance.
## 597 International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
## 598 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
## 599 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 600 National Science Foundation, Science and Engineering Indicators.
## 601 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 602 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 603 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 604 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 605 World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
## 606 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 607 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
## 608 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 609 International Monetary Fund, International Financial Statistics and data files.
## 610 International Monetary Fund, International Financial Statistics and data files.
## 611 Food and Agriculture Organization, AQUASTAT data.
## 612 United Nations, World Urbanization Prospects.
## 613 (UNISDR, 2009-2011 Progress Reports, http://www.preventionweb.net/english/hyogo).
## 614 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions.
## 615 Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
## 616 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 617 WHO Global Health Observatory (https://www.who.int/data/gho/data/themes/air-pollution/household-air-pollution)
## 618 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank gross capital formation estimates are used for the denominator.
## 619 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 620 World Bank, International Debt Statistics.
## 621 World Bank, International Debt Statistics.
## 622 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.
## 623 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 624 World Federation of Exchanges database.
## 625 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 626 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 627 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 628 Food and Agriculture Organization, electronic files and web site.
## 629 Food and Agriculture Organization, electronic files and web site.
## 630 World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
## 631 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 632 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 633 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 634 World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
## 635 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 636 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 637 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 638 Global Findex Database, World Bank (https://www.worldbank.org/en/publication/globalfindex).
## 639 International Monetary Fund, International Financial Statistics and data files.
## 640 International Monetary Fund, Financial Soundness Indicators.
## 641 Food and Agriculture Organization.
## 642 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 643 World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
## 644 World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
## 645 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 646 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 647 World Bank, International Debt Statistics.
## 648 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 649 World Bank, International Debt Statistics.
## 650 World Bank, International Debt Statistics.
## 651 World Bank, International Debt Statistics.
## 652 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 653 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 654 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 655 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 656 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 657 Food and Agriculture Organization, electronic files and web site.
## 658 Center for International Earth Science Information Network - CIESIN - Columbia University, and CUNY Institute for Demographic Research - CIDR - City University of New York. 2021. Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/d1x1-d702.
## 659 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at: https://lpi.worldbank.org/. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
## 660 United Nations Conference on Trade and Development, Review of Maritime Transport 2010.
## 661 World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).
## 662 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 663 World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
## 664 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 665 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 666 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 667 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 668 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 669 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 670 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 671 Global Findex Database, World Bank (https://www.worldbank.org/en/publication/globalfindex).
## 672 International Monetary Fund, International Financial Statistics and data files.
## 673 International Monetary Fund, Financial Access Survey.
## 674 Food and Agriculture Organization, AQUASTAT data.
## 675 United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species.
## 676 Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.
## 677 World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
## 678 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 679 IEA Statistics © OECD/IEA 2018 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 680 World Bank, International Debt Statistics.
## 681 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 682 World Bank, International Debt Statistics.
## 683 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 684 World Bank, International Debt Statistics.
## 685 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 686 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 687 Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.
## 688 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 689 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
## 690 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
## 691 Center for International Earth Science Information Network - CIESIN - Columbia University, and CUNY Institute for Demographic Research - CIDR - City University of New York. 2021. Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/d1x1-d702.
## 692 World Bank national accounts data, and OECD National Accounts data files.
## 693 World Bank national accounts data, and OECD National Accounts data files.
## 694 World Bank national accounts data, and OECD National Accounts data files.
## 695 World Bank national accounts data, and OECD National Accounts data files.
## 696 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at: https://lpi.worldbank.org/. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
## 697 International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.
## 698 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 699 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 700 World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
## 701 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 702 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 703 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 704 World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
## 705 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 706 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 707 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 708 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
## 709 International Monetary Fund, International Financial Statistics and data files.
## 710 International Monetary Fund, Financial Access Survey.
## 711 Food and Agriculture Organization.
## 712 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 713 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions.
## 714 Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
## 715 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 716 World Bank Global Electrification Database from "Tracking SDG 7: The Energy Progress Report" led jointly by the custodian agencies: the International Energy Agency (IEA), the International Renewable Energy Agency (IRENA), the United Nations Statistics Division (UNSD), the World Bank and the World Health Organization (WHO).
## 717 World Bank, International Debt Statistics.
## 718 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 719 World Bank, International Debt Statistics.
## 720 World Bank, International Debt Statistics.
## 721 World Bank, International Debt Statistics.
## 722 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 723 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 724 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 725 World Bank, International Debt Statistics, and OECD.
## 726 International Monetary Fund, Balance of Payments database, supplemented by data from the United Nations Conference on Trade and Development and official national sources.
## 727 Food and Agriculture Organization, electronic files and web site.
## 728 Food and Agriculture Organization, electronic files and web site.
## 729 UN Office on Drugs and Crime's International Homicide Statistics database.
## 730 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 731 World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
## 732 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 733 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
## 734 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
## 735 World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
## 736 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 737 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 738 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 739 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 740 Demographic and Health Surveys.
## 741 (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
## 742 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 743 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 744 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 745 International Labour Organization, ILOSTAT database. Data as of June 2021.
## 746 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 747 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 748 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 749 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 750 World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).
## 751 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 752 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 753 World Health Organization and World Bank. 2021. Global Monitoring Report on Financial Protection in Health 2021.
## 754 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 755 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 756 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 757 Data from various sources compiled by the Lancet Commission on Global Surgery (www.lancetglobalsurgery.org) and the Center for Health Equity in Surgery and Anesthesia at UCSF Medical Center.
## 758 World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.
## 759 UNAIDS estimates.
## 760 UNAIDS estimates.
## 761 Demographic and Health Surveys, and UNAIDS.
## 762 World Bank: Women, Business and the Law. https://wbl.worldbank.org/
## 763 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 764 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 765 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 766 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 767 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 768 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 769 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 770 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 771 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 772 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 773 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 774 World Bank national accounts data, and OECD National Accounts data files.
## 775 World Bank national accounts data, and OECD National Accounts data files.
## 776 World Bank national accounts data, and OECD National Accounts data files.
## 777 World Bank national accounts data, and OECD National Accounts data files.
## 778 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 779 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 780 United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.
## 781 World Bank national accounts data, and OECD National Accounts data files.
## 782 World Bank national accounts data, and OECD National Accounts data files.
## 783 World Bank national accounts data, and OECD National Accounts data files.
## 784 World Bank national accounts data, and OECD National Accounts data files.
## 785 World Bank national accounts data, and OECD National Accounts data files.
## 786 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
## 787 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 788 World Intellectual Property Organization (WIPO), WIPO Patent Report: Statistics on Worldwide Patent Activity. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
## 789 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 790 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 791 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 792 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 793 World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
## 794 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 795 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 796 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 797 International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.
## 798 International Monetary Fund, International Financial Statistics and data files.
## 799 Food and Agriculture Organization, AQUASTAT data.
## 800 United Nations, World Urbanization Prospects.
## 801 United Nations Framework Convention on Climate Change.
## 802 World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
## 803 Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
## 804 World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.
## 805 WHO Global Health Observatory (https://www.who.int/data/gho/data/themes/air-pollution/household-air-pollution)
## 806 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank GNI estimates are used for the denominator.
## 807 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 808 World Bank, International Debt Statistics.
## 809 World Bank, International Debt Statistics.
## 810 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.
## 811 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 812 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 813 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 814 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 815 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 816 Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
## 817 Food and Agriculture Organization, electronic files and web site.
## 818 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
## 819 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 820 World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
## 821 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 822 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 823 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 824 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 825 World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
## 826 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 827 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 828 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 829 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
## 830 International Monetary Fund, International Financial Statistics and data files.
## 831 World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/).
## 832 United Nations, World Urbanization Prospects.
## 833 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 834 World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
## 835 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See NY.GDP.MKTP.PP.CD for the denominator's source.
## 836 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 837 World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.
## 838 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank imports of good and services estimates are used for the denominator.
## 839 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 840 World Bank, International Debt Statistics.
## 841 World Bank, International Debt Statistics.
## 842 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.
## 843 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 844 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 845 International Monetary Fund, Balance of Payments database, supplemented by data from the United Nations Conference on Trade and Development and official national sources.
## 846 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 847 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 848 Food and Agriculture Organization, electronic files and web site.
## 849 Food and Agriculture Organization, electronic files and web site.
## 850 World Bank national accounts data, and OECD National Accounts data files.
## 851 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at: https://lpi.worldbank.org/. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
## 852 Internation Union of Railways (UIC), OECD Statistics
## 853 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 854 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 855 World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
## 856 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 857 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 858 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 859 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 860 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 861 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 862 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 863 Global Findex Database, World Bank (https://www.worldbank.org/en/publication/globalfindex).
## 864 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
## 865 International Monetary Fund, Financial Access Survey.
## 866 Food and Agriculture Organization.
## 867 Froese, R. and Pauly, D. (eds). 2008. FishBase database, www.fishbase.org.
## 868 European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
## 869 World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
## 870 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 871 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 872 World Bank, International Debt Statistics.
## 873 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 874 World Bank, International Debt Statistics.
## 875 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 876 World Bank, International Debt Statistics.
## 877 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 878 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 879 World Bank staff estimates based on IMF balance of payments data.
## 880 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 881 World Bank staff estimates based on IMF balance of payments data.
## 882 Food and Agriculture Organization, electronic files and web site.
## 883 Center for International Earth Science Information Network - CIESIN - Columbia University, and CUNY Institute for Demographic Research - CIDR - City University of New York. 2021. Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/d1x1-d702.
## 884 UN Office on Drugs and Crime's International Homicide Statistics database.
## 885 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 886 World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
## 887 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 888 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
## 889 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
## 890 World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, and IMF and World Bank exports estimates.
## 891 UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.
## 892 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 893 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 894 World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
## 895 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 896 Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.
## 897 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 898 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 899 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 900 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 901 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 902 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 903 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 904 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 905 World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).
## 906 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 907 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 908 World Health Organization and World Bank. 2021. Global Monitoring Report on Financial Protection in Health 2021.
## 909 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 910 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 911 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 912 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 913 World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.
## 914 UNAIDS estimates.
## 915 UNAIDS estimates.
## 916 Demographic and Health Surveys, and UNAIDS.
## 917 National statistical offices or national database and publications compiled by United Nations Statistics Division. The data were downloaded on December 3 from the Global SDG Indicators Database: https://unstats.un.org/sdgs/indicators/database/
## 918 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 919 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 920 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 921 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 922 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 923 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 924 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 925 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 926 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 927 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 928 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 929 World Bank national accounts data, and OECD National Accounts data files.
## 930 World Bank national accounts data, and OECD National Accounts data files.
## 931 World Bank national accounts data, and OECD National Accounts data files.
## 932 World Bank national accounts data, and OECD National Accounts data files.
## 933 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 934 World Bank staff estimates using data from the United Nations Statistics Division's National Accounts Statistics.
## 935 United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.
## 936 Derived using World Bank national accounts data and OECD National Accounts data files, and employment data from International Labour Organization, ILOSTAT database.
## 937 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 938 World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
## 939 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 940 United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx.
## 941 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
## 942 World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
## 943 World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).
## 944 World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 945 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 946 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 947 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 948 (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
## 949 United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision.
## 950 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 951 Derived using data from International Labour Organization, ILOSTAT database. The data was retrieved on February 8, 2022.
## 952 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 953 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 954 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 955 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 956 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 957 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 958 Government statistical agencies. Data for EU countires are from the EUROSTAT
## 959 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 960 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 961 World Health Organization, Global Tuberculosis Report.
## 962 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 963 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 964 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 965 UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
## 966 UNAIDS estimates.
## 967 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 968 Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
## 969 Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
## 970 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 971 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 972 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 973 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 974 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 975 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 976 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 977 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 978 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 979 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 980 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 981 World Bank national accounts data, and OECD National Accounts data files.
## 982 World Bank national accounts data, and OECD National Accounts data files.
## 983 World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
## 984 World Bank national accounts data, and OECD National Accounts data files.
## 985 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 986 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 987 World Bank national accounts data, and OECD National Accounts data files.
## 988 World Bank national accounts data, and OECD National Accounts data files.
## 989 World Bank national accounts data, and OECD National Accounts data files.
## 990 World Bank national accounts data, and OECD National Accounts data files.
## 991 World Bank national accounts data, and OECD National Accounts data files.
## 992 World Bank national accounts data, and OECD National Accounts data files.
## 993 Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.
## 994 Netcraft (http://www.netcraft.com/) and World Bank population estimates.
## 995 The Internal Displacement Monitoring Centre (http://www.internal-displacement.org/)
## 996 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 997 United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database
## 998 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 999 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
## 1000 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
## 1001 Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.
## 1002 World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
## 1003 World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
## 1004 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1005 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1006 Demographic and Health Surveys.
## 1007 (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.
## 1008 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1009 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1010 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1011 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1012 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 1013 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 1014 Derived using data from International Labour Organization, ILOSTAT database.
## 1015 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1016 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 1017 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 1018 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 1019 World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019. NOTE: This indicator has been discontinued as of December 2021. Please see the following indicators: SH.UHC.FBP1.ZS, SH.UHC.FBP2.ZS, SH.UHC.FBP1.TO and SH.UHC.FBP2.TO.
## 1020 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 1021 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME).
## 1022 UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
## 1023 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 1024 WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).
## 1025 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 1026 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 1027 World Health Organization, Global Health Observatory Data Repository/World Health Statistics.
## 1028 Demographic and Health Surveys (DHS)
## 1029 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1030 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1031 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1032 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1033 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1034 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1035 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 1036 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1037 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1038 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 1039 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 1040 World Bank national accounts data, and OECD National Accounts data files.
## 1041 World Bank national accounts data, and OECD National Accounts data files.
## 1042 World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
## 1043 World Bank national accounts data, and OECD National Accounts data files.
## 1044 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 1045 World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
## 1046 World Bank national accounts data, and OECD National Accounts data files.
## 1047 World Bank national accounts data, and OECD National Accounts data files.
## 1048 World Bank national accounts data, and OECD National Accounts data files.
## 1049 World Bank national accounts data, and OECD National Accounts data files.
## 1050 World Bank national accounts data, and OECD National Accounts data files.
## 1051 World Bank national accounts data, and OECD National Accounts data files.
## 1052 International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
## 1053 International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.
## 1054 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 1055 World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
## 1056 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 1057 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 1058 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 1059 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 1060 World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
## 1061 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 1062 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 1063 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
## 1064 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
## 1065 International Monetary Fund, International Financial Statistics and data files.
## 1066 World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/).
## 1067 German Agency for International Cooperation (GIZ).
## 1068 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 1069 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions.
## 1070 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See NY.GDP.MKTP.PP.KD for the denominator's source.
## 1071 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 1072 World Bank Global Electrification Database from "Tracking SDG 7: The Energy Progress Report" led jointly by the custodian agencies: the International Energy Agency (IEA), the International Renewable Energy Agency (IRENA), the United Nations Statistics Division (UNSD), the World Bank and the World Health Organization (WHO).
## 1073 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank population estimates are used for the denominator.
## 1074 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1075 World Bank, International Debt Statistics.
## 1076 World Bank, International Debt Statistics.
## 1077 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.
## 1078 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1079 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1080 International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.
## 1081 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1082 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1083 Food and Agriculture Organization, electronic files and web site.
## 1084 Food and Agriculture Organization, electronic files and web site.
## 1085 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 1086 World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.
## 1087 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 1088 United Nations Conference on Trade and Development, Handbook of Statistics and data files. (http://unctadstat.unctad.org)
## 1089 World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.
## 1090 World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
## 1091 UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.
## 1092 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1093 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1094 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1095 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1096 Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.
## 1097 United Nations Population Division. World Population Prospects: 2019 Revision.
## 1098 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1099 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1100 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1101 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 1102 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 1103 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 1104 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 1105 World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).
## 1106 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 1107 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 1108 World Health Organization and World Bank. 2021. Global Monitoring Report on Financial Protection in Health 2021.
## 1109 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 1110 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 1111 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 1112 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 1113 World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.
## 1114 UNAIDS estimates.
## 1115 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 1116 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 1117 National statistical offices or national database and publications compiled by United Nations Statistics Division
## 1118 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1119 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1120 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1121 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 1122 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1123 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1124 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 1125 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1126 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1127 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 1128 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 1129 World Bank national accounts data, and OECD National Accounts data files.
## 1130 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 1131 World Bank national accounts data, and OECD National Accounts data files.
## 1132 World Bank national accounts data, and OECD National Accounts data files.
## 1133 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 1134 World Bank staff estimates using data from the United Nations Statistics Division's National Accounts Statistics.
## 1135 United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database
## 1136 World Bank national accounts data, and OECD National Accounts data files.
## 1137 World Bank national accounts data, and OECD National Accounts data files.
## 1138 World Bank national accounts data, and OECD National Accounts data files.
## 1139 World Bank national accounts data, and OECD National Accounts data files.
## 1140 World Bank national accounts data, and OECD National Accounts data files.
## 1141 International Institute for Strategic Studies, The Military Balance.
## 1142 International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
## 1143 The Internal Displacement Monitoring Centre (http://www.internal-displacement.org/)
## 1144 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 1145 United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.
## 1146 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 1147 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
## 1148 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.
## 1149 World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
## 1150 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1151 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1152 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1153 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1154 UNICEF Data; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), AIDS Indicator Surveys(AIS), Reproductive Health Survey(RHS), and other household surveys.
## 1155 (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.
## 1156 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1157 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1158 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1159 International Labour Organization, ILOSTAT database. Data as of June 2021.
## 1160 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 1161 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 1162 Derived using data from International Labour Organization, ILOSTAT database.
## 1163 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1164 World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org
## 1165 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 1166 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 1167 World Health Organization and World Bank. 2021. Global Monitoring Report on Financial Protection in Health 2021.
## 1168 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 1169 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 1170 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 1171 The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/)
## 1172 WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).
## 1173 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 1174 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 1175 World Health Organization, Global Health Observatory Data Repository/World Health Statistics.
## 1176 Demographic and Health Surveys compiled by United Nations Population Fund
## 1177 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1178 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1179 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 1180 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1181 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1182 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1183 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 1184 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1185 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1186 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 1187 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 1188 World Bank national accounts data, and OECD National Accounts data files.
## 1189 World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.
## 1190 World Bank national accounts data, and OECD National Accounts data files.
## 1191 World Bank national accounts data, and OECD National Accounts data files.
## 1192 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 1193 World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
## 1194 United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.
## 1195 World Bank national accounts data, and OECD National Accounts data files.
## 1196 World Bank national accounts data, and OECD National Accounts data files.
## 1197 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
## 1198 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 1199 World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
## 1200 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 1201 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 1202 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 1203 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 1204 World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
## 1205 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 1206 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 1207 Global Findex Database, World Bank (https://www.worldbank.org/en/publication/globalfindex).
## 1208 International Monetary Fund, International Financial Statistics and data files.
## 1209 International Monetary Fund, International Financial Statistics and data files.
## 1210 Food and Agriculture Organization, AQUASTAT data.
## 1211 United Nations Human Settlements Programme (UN-HABITAT)
## 1212 United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species.
## 1213 World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
## 1214 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions.
## 1215 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 1216 World Bank, International Debt Statistics.
## 1217 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1218 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1219 World Bank, International Debt Statistics.
## 1220 World Bank, International Debt Statistics.
## 1221 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1222 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1223 World Federation of Exchanges database.
## 1224 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1225 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1226 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1227 Food and Agriculture Organization, electronic files and web site.
## 1228 Food and Agriculture Organization, electronic files and web site.
## 1229 International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
## 1230 World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).
## 1231 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 1232 World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
## 1233 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 1234 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 1235 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 1236 World Bank's Entrepreneurship Database (https://www.worldbank.org/en/programs/entrepreneurship).
## 1237 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 1238 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 1239 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 1240 Global Findex Database, World Bank (https://www.worldbank.org/en/publication/globalfindex).
## 1241 International Monetary Fund, International Financial Statistics and data files.
## 1242 International Monetary Fund, International Financial Statistics and data files.
## 1243 Food and Agriculture Organization, AQUASTAT data.
## 1244 Center for International Earth Science Information Network - CIESIN - Columbia University, and CUNY Institute for Demographic Research - CIDR - City University of New York. 2021. Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/d1x1-d702.
## 1245 Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.
## 1246 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions.
## 1247 Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
## 1248 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 1249 World Bank, International Debt Statistics.
## 1250 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1251 World Bank, International Debt Statistics.
## 1252 World Bank, International Debt Statistics.
## 1253 World Bank, International Debt Statistics.
## 1254 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1255 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1256 World Federation of Exchanges database.
## 1257 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1258 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1259 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1260 Food and Agriculture Organization, electronic files and web site.
## 1261 Uppsala Conflict Data Program, http://www.pcr.uu.se/research/ucdp/.
## 1262 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 1263 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1264 World Trade Organization.
## 1265 World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.
## 1266 World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.
## 1267 World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.
## 1268 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2021.
## 1269 World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
## 1270 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1271 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1272 United Nations Population Division. World Population Prospects: 2019 Revision.
## 1273 United Nations Children's Fund, State of the World's Children.
## 1274 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1275 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1276 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1277 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1278 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 1279 International Labour Organization, ILOSTAT database. Data as of January 2021.
## 1280 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1281 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1282 World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.
## 1283 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 1284 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 1285 World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019. NOTE: This indicator has been discontinued as of December 2021. Please see the following indicators: SH.UHC.FBP1.ZS, SH.UHC.FBP2.ZS, SH.UHC.FBP1.TO and SH.UHC.FBP2.TO.
## 1286 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 1287 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 1288 UNICEF-WHO Low birthweight estimates [data.unicef.org]
## 1289 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 1290 UNAIDS estimates.
## 1291 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 1292 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 1293 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 1294 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1295 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1296 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1297 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 1298 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1299 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1300 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1301 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1302 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1303 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1304 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 1305 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 1306 World Bank national accounts data, and OECD National Accounts data files.
## 1307 World Bank national accounts data, and OECD National Accounts data files.
## 1308 International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.
## 1309 World Bank national accounts data, and OECD National Accounts data files.
## 1310 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 1311 World Bank staff estimates using data from the United Nations Statistics Division's Statistical Yearbook, and the UNESCO Institute for Statistics online database.
## 1312 World Bank national accounts data, and OECD National Accounts data files.
## 1313 World Bank national accounts data, and OECD National Accounts data files.
## 1314 World Bank national accounts data, and OECD National Accounts data files.
## 1315 World Bank national accounts data, and OECD National Accounts data files.
## 1316 World Bank national accounts data, and OECD National Accounts data files.
## 1317 UN Office on Drugs and Crime's International Homicide Statistics database.
## 1318 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 1319 United Nations Conference on Trade and Development, Handbook of Statistics and data files. (http://unctadstat.unctad.org)
## 1320 World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.
## 1321 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.
## 1322 World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.
## 1323 World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.
## 1324 World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
## 1325 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1326 World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2019 Revision.
## 1327 World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2019 Revision.
## 1328 UNICEF Data; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), AIDS Indicator Surveys(AIS), Reproductive Health Survey(RHS), and other household surveys.
## 1329 (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
## 1330 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 1331 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1332 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1333 International Labour Organization, ILOSTAT database. Data as of June 2021.
## 1334 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 1335 Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## 1336 Derived using data from International Labour Organization, ILOSTAT database.
## 1337 International Labour Organization, ILOSTAT database. Data as of June 2022.
## 1338 World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org
## 1339 World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.
## 1340 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on January 30, 2022.
## 1341 World Health Organization and World Bank. 2021. Global Monitoring Report on Financial Protection in Health 2021.
## 1342 UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
## 1343 World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## 1344 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 1345 The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/)
## 1346 Data are from the World Health Organization, supplemented by country data.
## 1347 WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
## 1348 Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## 1349 World Health Organization, Global Health Observatory Data Repository/World Health Statistics.
## 1350 Inter-Parliamentary Union (IPU) (www.ipu.org). For the year of 1998, the data is as of August 10, 1998.
## 1351 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1352 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1353 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 1354 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 1355 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1356 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 1357 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
## 1358 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1359 UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022.
## 1360 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 1361 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)
## 1362 World Bank national accounts data, and OECD National Accounts data files.
## 1363 World Bank national accounts data, and OECD National Accounts data files.
## 1364 World Bank national accounts data, and OECD National Accounts data files.
## 1365 World Bank national accounts data, and OECD National Accounts data files.
## 1366 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 1367 World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).
## 1368 United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.
## 1369 World Bank national accounts data, and OECD National Accounts data files.
## 1370 World Bank national accounts data, and OECD National Accounts data files.
## 1371 World Bank national accounts data, and OECD National Accounts data files.
## 1372 World Bank national accounts data, and OECD National Accounts data files.
## 1373 World Bank national accounts data, and OECD National Accounts data files.
## 1374 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at: https://lpi.worldbank.org/. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
## 1375 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
## 1376 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 1377 World Intellectual Property Organization (WIPO), WIPO Patent Report: Statistics on Worldwide Patent Activity. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.
## 1378 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 1379 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 1380 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 1381 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 1382 World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
## 1383 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 1384 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 1385 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 1386 International Monetary Fund, International Financial Statistics database.
## 1387 International Monetary Fund, International Financial Statistics and data files.
## 1388 World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/).
## 1389 United Nations, World Urbanization Prospects.
## 1390 EM-DAT: The OFDA/CRED International Disaster Database: www.emdat.be, Université Catholique de Louvain, Brussels (Belgium), World Bank.
## 1391 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions.
## 1392 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See SP.POP.TOTL for the denominator's source.
## 1393 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 1394 WHO Global Health Observatory (https://www.who.int/data/gho/data/themes/air-pollution/household-air-pollution)
## 1395 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1396 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1397 World Bank, International Debt Statistics.
## 1398 World Bank, International Debt Statistics.
## 1399 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.
## 1400 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1401 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1402 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1403 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1404 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1405 Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.
## 1406 Food and Agriculture Organization, electronic files and web site.
## 1407 World Bank national accounts data, and OECD National Accounts data files.
## 1408 World Bank national accounts data, and OECD National Accounts data files.
## 1409 World Bank national accounts data, and OECD National Accounts data files.
## 1410 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at: https://lpi.worldbank.org/. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.
## 1411 UNCTAD (http://unctad.org/en/Pages/statistics.aspx)
## 1412 World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).
## 1413 World Bank Group, CPIA database (http://www.worldbank.org/ida).
## 1414 World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).
## 1415 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 1416 World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
## 1417 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## 1418 World Bank's Entrepreneurship Database (https://www.worldbank.org/en/programs/entrepreneurship).
## 1419 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
## 1420 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 1421 International Monetary Fund, Government Finance Statistics Yearbook and data files.
## 1422 Global Findex Database, World Bank (https://www.worldbank.org/en/publication/globalfindex).
## 1423 International Monetary Fund, International Financial Statistics and data files.
## 1424 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
## 1425 Food and Agriculture Organization, AQUASTAT data.
## 1426 Food and Agriculture Organization and World Bank population estimates.
## 1427 Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.
## 1428 European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
## 1429 Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
## 1430 IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
## 1431 World Bank, International Debt Statistics.
## 1432 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1433 World Bank, International Debt Statistics.
## 1434 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1435 World Bank, International Debt Statistics.
## 1436 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1437 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.
## 1438 World Federation of Exchanges database.
## 1439 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1440 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1441 International Monetary Fund, Balance of Payments Statistics Yearbook and data files.
## 1442 Center for International Earth Science Information Network - CIESIN - Columbia University, and CUNY Institute for Demographic Research - CIDR - City University of New York. 2021. Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/d1x1-d702.
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## 1389 NA
## 1390 NA
## 1391 NA
## 1392 NA
## 1393 NA
## 1394 NA
## 1395 NA
## 1396 NA
## 1397 NA
## 1398 NA
## 1399 NA
## 1400 NA
## 1401 NA
## 1402 NA
## 1403 NA
## 1404 NA
## 1405 NA
## 1406 NA
## 1407 NA
## 1408 NA
## 1409 NA
## 1410 NA
## 1411 NA
## 1412 NA
## 1413 NA
## 1414 NA
## 1415 NA
## 1416 NA
## 1417 NA
## 1418 NA
## 1419 NA
## 1420 NA
## 1421 NA
## 1422 NA
## 1423 NA
## 1424 NA
## 1425 NA
## 1426 NA
## 1427 NA
## 1428 NA
## 1429 NA
## 1430 NA
## 1431 NA
## 1432 NA
## 1433 NA
## 1434 NA
## 1435 NA
## 1436 NA
## 1437 NA
## 1438 NA
## 1439 NA
## 1440 NA
## 1441 NA
## 1442 NAData Preparation: Preparing data after the import
temp_df = filter(nepal_dt, grepl("tax", tolower(IndicatorName), fixed = TRUE) | grepl("tax", tolower(IndicatorCode), fixed = TRUE))
nepal_df <- temp_df
nepal_df## CountryName CountryCode
## 1 Nepal NPL
## 2 Nepal NPL
## 3 Nepal NPL
## 4 Nepal NPL
## 5 Nepal NPL
## 6 Nepal NPL
## 7 Nepal NPL
## 8 Nepal NPL
## 9 Nepal NPL
## 10 Nepal NPL
## 11 Nepal NPL
## 12 Nepal NPL
## 13 Nepal NPL
## 14 Nepal NPL
## 15 Nepal NPL
## 16 Nepal NPL
## 17 Nepal NPL
## 18 Nepal NPL
## 19 Nepal NPL
## 20 Nepal NPL
## 21 Nepal NPL
## 22 Nepal NPL
## 23 Nepal NPL
## 24 Nepal NPL
## 25 Nepal NPL
## 26 Nepal NPL
## 27 Nepal NPL
## 28 Nepal NPL
## 29 Nepal NPL
## 30 Nepal NPL
## 31 Nepal NPL
## 32 Nepal NPL
## 33 Nepal NPL
## 34 Nepal NPL
## 35 Nepal NPL
## 36 Nepal NPL
## 37 Nepal NPL
## 38 Nepal NPL
## 39 Nepal NPL
## 40 Nepal NPL
## 41 Nepal NPL
## 42 Nepal NPL
## 43 Nepal NPL
## 44 Nepal NPL
## 45 Nepal NPL
## 46 Nepal NPL
## 47 Nepal NPL
## 48 Nepal NPL
## 49 Nepal NPL
## 50 Nepal NPL
## 51 Nepal NPL
## 52 Nepal NPL
## 53 Nepal NPL
## IndicatorName
## 1 Tariff rate, applied, weighted mean, all products (%)
## 2 Share of tariff lines with international peaks, all products (%)
## 3 Taxes less subsidies on products (constant LCU)
## 4 Binding coverage, primary products (%)
## 5 Binding coverage, manufactured products (%)
## 6 Taxes on international trade (% of revenue)
## 7 Tariff rate, most favored nation, weighted mean, all products (%)
## 8 Tariff rate, applied, simple mean, all products (%)
## 9 Share of tariff lines with international peaks, primary products (%)
## 10 Share of tariff lines with international peaks, manufactured products (%)
## 11 Firms expected to give gifts in meetings with tax officials (% of firms)
## 12 Tax revenue (% of GDP)
## 13 Taxes on goods and services (% value added of industry and services)
## 14 Labor tax and contributions (% of commercial profits)
## 15 Taxes on income, profits and capital gains (current LCU)
## 16 Bound rate, simple mean, all products (%)
## 17 Taxes less subsidies on products (current LCU)
## 18 Share of tariff lines with specific rates, all products (%)
## 19 Other taxes payable by businesses (% of commercial profits)
## 20 Taxes on income, profits and capital gains (% of total taxes)
## 21 Customs and other import duties (% of tax revenue)
## 22 Other taxes (current LCU)
## 23 Customs and other import duties (current LCU)
## 24 Tariff rate, applied, weighted mean, primary products (%)
## 25 Tariff rate, applied, weighted mean, manufactured products (%)
## 26 Tax payments (number)
## 27 Taxes on exports (current LCU)
## 28 Total tax and contribution rate (% of profit)
## 29 Firms that do not report all sales for tax purposes (% of firms)
## 30 Taxes on goods and services (current LCU)
## 31 Taxes on international trade (current LCU)
## 32 Tariff rate, most favored nation, weighted mean, primary products (%)
## 33 Tariff rate, most favored nation, weighted mean, manufactured products (%)
## 34 Tariff rate, most favored nation, simple mean, all products (%)
## 35 Tariff rate, applied, simple mean, primary products (%)
## 36 Tariff rate, applied, simple mean, manufactured products (%)
## 37 Firms visited or required meetings with tax officials (% of firms)
## 38 Taxes on goods and services (% of revenue)
## 39 Binding coverage, all products (%)
## 40 Taxes less subsidies on products (current US$)
## 41 Tariff rate, most favored nation, simple mean, primary products (%)
## 42 Tariff rate, most favored nation, simple mean, manufactured products (%)
## 43 Number of visits or required meetings with tax officials (average for affected firms)
## 44 Taxes on income, profits and capital gains (% of revenue)
## 45 Time to prepare and pay taxes (hours)
## 46 Tax revenue (current LCU)
## 47 Bound rate, simple mean, primary products (%)
## 48 Bound rate, simple mean, manufactured products (%)
## 49 Share of tariff lines with specific rates, primary products (%)
## 50 Share of tariff lines with specific rates, manufactured products (%)
## 51 Profit tax (% of commercial profits)
## 52 Taxes on exports (% of tax revenue)
## 53 Other taxes (% of revenue)
## IndicatorCode X1960 X1961 X1962 X1963 X1964 X1965
## 1 TM.TAX.MRCH.WM.AR.ZS NA NA NA NA NA NA
## 2 TM.TAX.MRCH.IP.ZS NA NA NA NA NA NA
## 3 NY.TAX.NIND.KN NA NA NA NA NA 1075144628
## 4 TM.TAX.TCOM.BC.ZS NA NA NA NA NA NA
## 5 TM.TAX.MANF.BC.ZS NA NA NA NA NA NA
## 6 GC.TAX.INTT.RV.ZS NA NA NA NA NA NA
## 7 TM.TAX.MRCH.WM.FN.ZS NA NA NA NA NA NA
## 8 TM.TAX.MRCH.SM.AR.ZS NA NA NA NA NA NA
## 9 TM.TAX.TCOM.IP.ZS NA NA NA NA NA NA
## 10 TM.TAX.MANF.IP.ZS NA NA NA NA NA NA
## 11 IC.TAX.GIFT.ZS NA NA NA NA NA NA
## 12 GC.TAX.TOTL.GD.ZS NA NA NA NA NA NA
## 13 GC.TAX.GSRV.VA.ZS NA NA NA NA NA NA
## 14 IC.TAX.LABR.CP.ZS NA NA NA NA NA NA
## 15 GC.TAX.YPKG.CN NA NA NA NA NA NA
## 16 TM.TAX.MRCH.BR.ZS NA NA NA NA NA NA
## 17 NY.TAX.NIND.CN 54000000 56000000 61000000 64000000 70000000 78000000
## 18 TM.TAX.MRCH.SR.ZS NA NA NA NA NA NA
## 19 IC.TAX.OTHR.CP.ZS NA NA NA NA NA NA
## 20 GC.TAX.YPKG.ZS NA NA NA NA NA NA
## 21 GC.TAX.IMPT.ZS NA NA NA NA NA NA
## 22 GC.TAX.OTHR.CN NA NA NA NA NA NA
## 23 GC.TAX.IMPT.CN NA NA NA NA NA NA
## 24 TM.TAX.TCOM.WM.AR.ZS NA NA NA NA NA NA
## 25 TM.TAX.MANF.WM.AR.ZS NA NA NA NA NA NA
## 26 IC.TAX.PAYM NA NA NA NA NA NA
## 27 GC.TAX.EXPT.CN NA NA NA NA NA NA
## 28 IC.TAX.TOTL.CP.ZS NA NA NA NA NA NA
## 29 IC.FRM.INFM.ZS NA NA NA NA NA NA
## 30 GC.TAX.GSRV.CN NA NA NA NA NA NA
## 31 GC.TAX.INTT.CN NA NA NA NA NA NA
## 32 TM.TAX.TCOM.WM.FN.ZS NA NA NA NA NA NA
## 33 TM.TAX.MANF.WM.FN.ZS NA NA NA NA NA NA
## 34 TM.TAX.MRCH.SM.FN.ZS NA NA NA NA NA NA
## 35 TM.TAX.TCOM.SM.AR.ZS NA NA NA NA NA NA
## 36 TM.TAX.MANF.SM.AR.ZS NA NA NA NA NA NA
## 37 IC.FRM.METG.ZS NA NA NA NA NA NA
## 38 GC.TAX.GSRV.RV.ZS NA NA NA NA NA NA
## 39 TM.TAX.MRCH.BC.ZS NA NA NA NA NA NA
## 40 NY.TAX.NIND.CD 7087544 7350046 8006300 6890092 6913580 10237564
## 41 TM.TAX.TCOM.SM.FN.ZS NA NA NA NA NA NA
## 42 TM.TAX.MANF.SM.FN.ZS NA NA NA NA NA NA
## 43 IC.TAX.METG NA NA NA NA NA NA
## 44 GC.TAX.YPKG.RV.ZS NA NA NA NA NA NA
## 45 IC.TAX.DURS NA NA NA NA NA NA
## 46 GC.TAX.TOTL.CN NA NA NA NA NA NA
## 47 TM.TAX.TCOM.BR.ZS NA NA NA NA NA NA
## 48 TM.TAX.MANF.BR.ZS NA NA NA NA NA NA
## 49 TM.TAX.TCOM.SR.ZS NA NA NA NA NA NA
## 50 TM.TAX.MANF.SR.ZS NA NA NA NA NA NA
## 51 IC.TAX.PRFT.CP.ZS NA NA NA NA NA NA
## 52 GC.TAX.EXPT.ZS NA NA NA NA NA NA
## 53 GC.TAX.OTHR.RV.ZS NA NA NA NA NA NA
## X1966 X1967 X1968 X1969 X1970 X1971
## 1 NA NA NA NA NA NA
## 2 NA NA NA NA NA NA
## 3 1406731222 1185673493 1446923644 3024472246 -1115337050 2481876086
## 4 NA NA NA NA NA NA
## 5 NA NA NA NA NA NA
## 6 NA NA NA NA NA NA
## 7 NA NA NA NA NA NA
## 8 NA NA NA NA NA NA
## 9 NA NA NA NA NA NA
## 10 NA NA NA NA NA NA
## 11 NA NA NA NA NA NA
## 12 NA NA NA NA NA NA
## 13 NA NA NA NA NA NA
## 14 NA NA NA NA NA NA
## 15 NA NA NA NA NA NA
## 16 NA NA NA NA NA NA
## 17 178000000 91000000 108000000 161000000 55000000 163000000
## 18 NA NA NA NA NA NA
## 19 NA NA NA NA NA NA
## 20 NA NA NA NA NA NA
## 21 NA NA NA NA NA NA
## 22 NA NA NA NA NA NA
## 23 NA NA NA NA NA NA
## 24 NA NA NA NA NA NA
## 25 NA NA NA NA NA NA
## 26 NA NA NA NA NA NA
## 27 NA NA NA NA NA NA
## 28 NA NA NA NA NA NA
## 29 NA NA NA NA NA NA
## 30 NA NA NA NA NA NA
## 31 NA NA NA NA NA NA
## 32 NA NA NA NA NA NA
## 33 NA NA NA NA NA NA
## 34 NA NA NA NA NA NA
## 35 NA NA NA NA NA NA
## 36 NA NA NA NA NA NA
## 37 NA NA NA NA NA NA
## 38 NA NA NA NA NA NA
## 39 NA NA NA NA NA NA
## 40 23362646 11943825 11627031 15901235 5432099 16098765
## 41 NA NA NA NA NA NA
## 42 NA NA NA NA NA NA
## 43 NA NA NA NA NA NA
## 44 NA NA NA NA NA NA
## 45 NA NA NA NA NA NA
## 46 NA NA NA NA NA NA
## 47 NA NA NA NA NA NA
## 48 NA NA NA NA NA NA
## 49 NA NA NA NA NA NA
## 50 NA NA NA NA NA NA
## 51 NA NA NA NA NA NA
## 52 NA NA NA NA NA NA
## 53 NA NA NA NA NA NA
## X1972 X1973 X1974 X1975 X1976 X1977
## 1 NA NA NA NA NA NA
## 2 NA NA NA NA NA NA
## 3 4049376524 3225433883 6511156281 9405003569 12570149882 17604237553
## 4 NA NA NA NA NA NA
## 5 NA NA NA NA NA NA
## 6 NA NA NA NA NA NA
## 7 NA NA NA NA NA NA
## 8 NA NA NA NA NA NA
## 9 NA NA NA NA NA NA
## 10 NA NA NA NA NA NA
## 11 NA NA NA NA NA NA
## 12 NA NA NA NA NA NA
## 13 NA NA NA NA NA NA
## 14 NA NA NA NA NA NA
## 15 NA NA NA NA NA NA
## 16 NA NA NA NA NA NA
## 17 239000000 204000000 383000000 635000000 805000000 1025000000
## 18 NA NA NA NA NA NA
## 19 NA NA NA NA NA NA
## 20 NA NA NA NA NA NA
## 21 NA NA NA NA NA NA
## 22 NA NA NA NA NA NA
## 23 NA NA NA NA NA NA
## 24 NA NA NA NA NA NA
## 25 NA NA NA NA NA NA
## 26 NA NA NA NA NA NA
## 27 NA NA NA NA NA NA
## 28 NA NA NA NA NA NA
## 29 NA NA NA NA NA NA
## 30 NA NA NA NA NA NA
## 31 NA NA NA NA NA NA
## 32 NA NA NA NA NA NA
## 33 NA NA NA NA NA NA
## 34 NA NA NA NA NA NA
## 35 NA NA NA NA NA NA
## 36 NA NA NA NA NA NA
## 37 NA NA NA NA NA NA
## 38 NA NA NA NA NA NA
## 39 NA NA NA NA NA NA
## 40 23604938 19892541 36420692 60384176 67235734 82000000
## 41 NA NA NA NA NA NA
## 42 NA NA NA NA NA NA
## 43 NA NA NA NA NA NA
## 44 NA NA NA NA NA NA
## 45 NA NA NA NA NA NA
## 46 NA NA NA NA NA NA
## 47 NA NA NA NA NA NA
## 48 NA NA NA NA NA NA
## 49 NA NA NA NA NA NA
## 50 NA NA NA NA NA NA
## 51 NA NA NA NA NA NA
## 52 NA NA NA NA NA NA
## 53 NA NA NA NA NA NA
## X1978 X1979 X1980 X1981 X1982 X1983
## 1 NA NA NA NA NA NA
## 2 NA NA NA NA NA NA
## 3 20950281283 20859818526 19654043511 23180946411 22186183085 21432558471
## 4 NA NA NA NA NA NA
## 5 NA NA NA NA NA NA
## 6 NA NA NA NA NA NA
## 7 NA NA NA NA NA NA
## 8 NA NA NA NA NA NA
## 9 NA NA NA NA NA NA
## 10 NA NA NA NA NA NA
## 11 NA NA NA NA NA NA
## 12 NA NA NA NA NA NA
## 13 NA NA NA NA NA NA
## 14 NA NA NA NA NA NA
## 15 NA NA NA NA NA NA
## 16 NA NA NA NA NA NA
## 17 1306000000 1436000000 1464999900 1840999900 1951000100 2116999900
## 18 NA NA NA NA NA NA
## 19 NA NA NA NA NA NA
## 20 NA NA NA NA NA NA
## 21 NA NA NA NA NA NA
## 22 NA NA NA NA NA NA
## 23 NA NA NA NA NA NA
## 24 NA NA NA NA NA NA
## 25 NA NA NA NA NA NA
## 26 NA NA NA NA NA NA
## 27 NA NA NA NA NA NA
## 28 NA NA NA NA NA NA
## 29 NA NA NA NA NA NA
## 30 NA NA NA NA NA NA
## 31 NA NA NA NA NA NA
## 32 NA NA NA NA NA NA
## 33 NA NA NA NA NA NA
## 34 NA NA NA NA NA NA
## 35 NA NA NA NA NA NA
## 36 NA NA NA NA NA NA
## 37 NA NA NA NA NA NA
## 38 NA NA NA NA NA NA
## 39 NA NA NA NA NA NA
## 40 106174546 119666667 122083325 153416658 150815929 153455830
## 41 NA NA NA NA NA NA
## 42 NA NA NA NA NA NA
## 43 NA NA NA NA NA NA
## 44 NA NA NA NA NA NA
## 45 NA NA NA NA NA NA
## 46 NA NA NA NA NA NA
## 47 NA NA NA NA NA NA
## 48 NA NA NA NA NA NA
## 49 NA NA NA NA NA NA
## 50 NA NA NA NA NA NA
## 51 NA NA NA NA NA NA
## 52 NA NA NA NA NA NA
## 53 NA NA NA NA NA NA
## X1984 X1985 X1986 X1987 X1988 X1989
## 1 NA NA NA NA NA NA
## 2 NA NA NA NA NA NA
## 3 22547911341 25833616503 26400264605 27218911058 32705876319 29809643007
## 4 NA NA NA NA NA NA
## 5 NA NA NA NA NA NA
## 6 NA NA NA NA NA NA
## 7 NA NA NA NA NA NA
## 8 NA NA NA NA NA NA
## 9 NA NA NA NA NA NA
## 10 NA NA NA NA NA NA
## 11 NA NA NA NA NA NA
## 12 NA NA NA NA NA NA
## 13 NA NA NA NA NA NA
## 14 NA NA NA NA NA NA
## 15 NA NA NA NA NA NA
## 16 NA NA NA NA NA NA
## 17 2385999900 2571000000 3007000000 3492000000 4692000000 4758000000
## 18 NA NA NA NA NA NA
## 19 NA NA NA NA NA NA
## 20 NA NA NA NA NA NA
## 21 NA NA NA NA NA NA
## 22 NA NA NA NA NA NA
## 23 NA NA NA NA NA NA
## 24 NA NA NA NA NA NA
## 25 NA NA NA NA NA NA
## 26 NA NA NA NA NA NA
## 27 NA NA NA NA NA NA
## 28 NA NA NA NA NA NA
## 29 NA NA NA NA NA NA
## 30 NA NA NA NA NA NA
## 31 NA NA NA NA NA NA
## 32 NA NA NA NA NA NA
## 33 NA NA NA NA NA NA
## 34 NA NA NA NA NA NA
## 35 NA NA NA NA NA NA
## 36 NA NA NA NA NA NA
## 37 NA NA NA NA NA NA
## 38 NA NA NA NA NA NA
## 39 NA NA NA NA NA NA
## 40 156353407 144588477 153835135 161698857 212740875 187893172
## 41 NA NA NA NA NA NA
## 42 NA NA NA NA NA NA
## 43 NA NA NA NA NA NA
## 44 NA NA NA NA NA NA
## 45 NA NA NA NA NA NA
## 46 NA NA NA NA NA NA
## 47 NA NA NA NA NA NA
## 48 NA NA NA NA NA NA
## 49 NA NA NA NA NA NA
## 50 NA NA NA NA NA NA
## 51 NA NA NA NA NA NA
## 52 NA NA NA NA NA NA
## 53 NA NA NA NA NA NA
## X1990 X1991 X1992
## 1 NA NA NA
## 2 NA NA NA
## 3 32075085848.0000000 33779755004.0000000 32457472104.0000000
## 4 NA NA NA
## 5 NA NA NA
## 6 25.6286450 24.2067594 22.9424220
## 7 NA NA NA
## 8 NA NA NA
## 9 NA NA NA
## 10 NA NA NA
## 11 NA NA NA
## 12 6.9966930 6.6203019 6.4833441
## 13 7.3759465 6.9110354 6.9687804
## 14 NA NA NA
## 15 943000000.0000000 768000000.0000000 875000000.0000000
## 16 NA NA NA
## 17 5668000000.0000000 6532000000.0000000 7487000000.0000000
## 18 NA NA NA
## 19 NA NA NA
## 20 13.0326022 9.3704246 8.8374912
## 21 36.9667068 36.1883846 32.7643672
## 22 98500000.0000000 106000000.0000000 87000000.0000000
## 23 2674800000.0000000 2966000000.0000000 3244000000.0000000
## 24 NA NA NA
## 25 NA NA NA
## 26 NA NA NA
## 27 32200000.0000000 78000000.0000000 115000000.0000000
## 28 NA NA NA
## 29 NA NA NA
## 30 3487200000.0000000 4278000000.0000000 5580000000.0000000
## 31 2707000000.0000000 3044000000.0000000 3359000000.0000000
## 32 NA NA NA
## 33 NA NA NA
## 34 NA NA NA
## 35 NA NA NA
## 36 NA NA NA
## 37 NA NA NA
## 38 33.0152238 34.0198807 38.1121508
## 39 NA NA NA
## 40 198818593.8000000 206905289.8000000 166748329.6000000
## 41 NA NA NA
## 42 NA NA NA
## 43 NA NA NA
## 44 8.9278952 6.1073559 5.9763677
## 45 NA NA NA
## 46 7235700000.0000000 8196000000.0000000 9901000000.0000000
## 47 NA NA NA
## 48 NA NA NA
## 49 NA NA NA
## 50 NA NA NA
## 51 NA NA NA
## 52 0.4450157 0.9516837 1.1614988
## 53 0.9325532 0.8429423 0.5942217
## X1993 X1994 X1995
## 1 15.9600000 NA NA
## 2 56.7349700 NA NA
## 3 38102322604.0000000 44412517305.000000 51546654806.0000000
## 4 NA NA NA
## 5 NA NA NA
## 6 21.8003979 24.760873 25.9512628
## 7 15.9600000 NA NA
## 8 20.8700000 NA NA
## 9 26.0309300 NA NA
## 10 63.0285300 NA NA
## 11 NA NA NA
## 12 6.6546374 7.729134 8.9855139
## 13 6.7640004 7.647324 8.2584105
## 14 NA NA NA
## 15 1174000000.0000000 1931000000.000000 2751000000.0000000
## 16 NA NA NA
## 17 9702000000.0000000 12149000000.000000 14261000000.0000000
## 18 1.0833050 NA NA
## 19 NA NA NA
## 20 10.0419126 12.537333 13.9687214
## 21 32.5378496 31.346578 33.9494262
## 22 86000000.0000000 69000000.000000 69000000.0000000
## 23 3804000000.0000000 4828000000.000000 6686000000.0000000
## 24 9.2400000 NA NA
## 25 22.1000000 NA NA
## 26 NA NA NA
## 27 141000000.0000000 427000000.000000 332000000.0000000
## 28 NA NA NA
## 29 NA NA NA
## 30 6486000000.0000000 8147000000.000000 9856000000.0000000
## 31 3945000000.0000000 5255000000.000000 7018000000.0000000
## 32 9.2500000 NA NA
## 33 22.1000000 NA NA
## 34 16.5700000 NA NA
## 35 11.3400000 NA NA
## 36 22.5400000 NA NA
## 37 NA NA NA
## 38 35.8421751 38.387598 36.4456606
## 39 NA NA NA
## 40 202125000.0000000 247938775.500000 286365461.8000000
## 41 8.7800000 NA NA
## 42 18.6800000 NA NA
## 43 NA NA NA
## 44 6.4876216 9.098619 10.1726879
## 45 NA NA NA
## 46 11691000000.0000000 15402000000.000000 19694000000.0000000
## 47 NA NA NA
## 48 NA NA NA
## 49 6.5463920 NA NA
## 50 0.0202306 NA NA
## 51 NA NA NA
## 52 1.2060559 2.772367 1.6857926
## 53 0.4752431 0.325119 0.2551492
## X1996 X1997 X1998
## 1 NA NA 20.0900000
## 2 NA NA 50.1561800
## 3 52631847606.0000000 56691272306.0000000 56158723806.0000000
## 4 NA NA NA
## 5 NA NA NA
## 6 23.3150894 23.5537541 23.1195954
## 7 NA NA 20.0900000
## 8 NA NA 21.6700000
## 9 NA NA 36.0000000
## 10 NA NA 56.9604100
## 11 NA NA NA
## 12 8.7199142 8.7236599 8.6393325
## 13 8.0162566 7.7632400 7.3651030
## 14 NA NA NA
## 15 3326000000.0000000 3954000000.0000000 4576000000.0000000
## 16 NA NA NA
## 17 15457000000.0000000 17952000000.0000000 18943000000.0000000
## 18 NA NA 8.2106200
## 19 NA NA NA
## 20 15.3236581 16.1579012 17.6060944
## 21 33.0661138 33.1698746 31.8417914
## 22 105000000.0000000 269000000.0000000 436000000.0000000
## 23 7177000000.0000000 8117000000.0000000 8276000000.0000000
## 24 NA NA 17.0900000
## 25 NA NA 30.3500000
## 26 NA NA NA
## 27 150000000.0000000 168000000.0000000 217000000.0000000
## 28 NA NA NA
## 29 NA NA NA
## 30 10947000000.0000000 11938000000.0000000 12477000000.0000000
## 31 7327000000.0000000 8310000000.0000000 8502000000.0000000
## 32 NA NA 17.0900000
## 33 NA NA 30.3500000
## 34 NA NA 16.2000000
## 35 NA NA 16.6400000
## 36 NA NA 23.2300000
## 37 NA NA NA
## 38 34.8342137 33.8369094 33.9288628
## 39 NA NA NA
## 40 280781108.1000000 314781693.8000000 305778853.9000000
## 41 NA NA 9.1400000
## 42 NA NA 18.1200000
## 43 NA NA NA
## 44 10.5835932 11.2071653 12.4435743
## 45 NA NA NA
## 46 21705000000.0000000 24471000000.0000000 25991000000.0000000
## 47 NA NA NA
## 48 NA NA NA
## 49 NA NA 25.5000000
## 50 NA NA 1.0217110
## 51 NA NA NA
## 52 0.6910850 0.6865269 0.8349044
## 53 0.3341182 0.7624500 1.1856203
## X1999 X2000 X2001
## 1 14.0100000 16.8400000 NA
## 2 20.5871200 18.5552800 NA
## 3 58700888407.0000000 63282813207.0000000 66320388207.000000
## 4 NA NA NA
## 5 NA NA NA
## 6 24.3738796 23.4988591 23.728237
## 7 14.0100000 16.8400000 NA
## 8 14.3600000 14.4100000 NA
## 9 18.1992300 25.7341600 NA
## 10 21.2132000 16.9703100 NA
## 11 NA NA NA
## 12 8.4225052 8.7359811 8.802575
## 13 6.9041003 7.0314431 6.371072
## 14 NA NA NA
## 15 5774000000.0000000 6969000000.0000000 8517000000.000000
## 16 NA NA NA
## 17 21456000000.0000000 23945000000.0000000 28090335300.000000
## 18 1.7424240 2.0816100 NA
## 19 NA NA NA
## 20 20.0430436 21.0213562 21.914319
## 21 31.6787004 31.1926882 30.940435
## 22 522000000.0000000 575000000.0000000 605000000.000000
## 23 9126000000.0000000 10341000000.0000000 12025000000.000000
## 24 12.0000000 13.8300000 NA
## 25 16.4100000 20.8700000 NA
## 26 NA NA NA
## 27 378000000.0000000 432000000.0000000 493000000.000000
## 28 NA NA NA
## 29 NA NA NA
## 30 12994000000.0000000 14795000000.0000000 17191000000.000000
## 31 9518000000.0000000 10813000000.0000000 12552000000.000000
## 32 12.0000000 13.8300000 NA
## 33 16.4100000 20.8700000 NA
## 34 12.4300000 13.2900000 NA
## 35 11.9500000 15.9400000 NA
## 36 14.8700000 14.1200000 NA
## 37 NA NA NA
## 38 33.2752881 32.1525589 32.497779
## 39 NA NA NA
## 40 315761589.4000000 346677283.9000000 382181432.700000
## 41 8.8300000 11.5800000 NA
## 42 13.3300000 13.6400000 NA
## 43 NA NA NA
## 44 14.7861716 15.1450614 16.100493
## 45 NA NA NA
## 46 28808000000.0000000 33152000000.0000000 38865000000.000000
## 47 NA NA NA
## 48 NA NA NA
## 49 8.7643680 11.5919600 NA
## 50 0.0118245 0.0168691 NA
## 51 NA NA NA
## 52 1.3121355 1.3030888 1.268494
## 53 1.3367478 1.2495925 1.143689
## X2002 X2003 X2004
## 1 15.4500000 15.8600000 15.4900000
## 2 18.4488800 19.3504900 21.4846800
## 3 66006375707.0000000 70331721108.0000000 76378232809.0000000
## 4 NA NA 99.5800000
## 5 NA NA 99.6000000
## 6 23.0410804 21.8961240 21.8884386
## 7 15.4500000 15.8600000 15.4900000
## 8 14.6600000 14.8700000 14.8200000
## 9 22.9274600 23.1433500 24.2228000
## 10 17.5229700 18.5619600 20.9089400
## 11 NA NA NA
## 12 8.5605831 8.6518119 8.9749585
## 13 6.3911614 6.7228830 6.9617137
## 14 NA NA NA
## 15 8068000000.0000000 6879300000.0000000 8123300000.0000000
## 16 NA NA 25.9400000
## 17 29046000000.0000000 31906000000.0000000 36050000000.0000000
## 18 0.2909246 0.2907183 0.2972189
## 19 NA NA NA
## 20 20.5130813 16.1535590 16.8627655
## 21 29.7805802 31.3805419 31.0431154
## 22 839000000.0000000 1252600000.0000000 1391200000.0000000
## 23 11713000000.0000000 13364000000.0000000 14954400000.0000000
## 24 8.9600000 9.3900000 9.5100000
## 25 18.5900000 18.9900000 18.3800000
## 26 NA NA NA
## 27 917000000.0000000 855600000.0000000 527100000.0000000
## 28 NA NA NA
## 29 NA NA NA
## 30 17765000000.0000000 20218600000.0000000 23103700000.0000000
## 31 12659000000.0000000 14236400000.0000000 15554800000.0000000
## 32 8.9600000 9.3900000 9.5100000
## 33 18.5900000 18.9900000 18.3800000
## 34 13.6200000 13.7200000 13.7900000
## 35 14.1800000 14.1900000 14.3500000
## 36 14.7100000 14.9500000 14.8600000
## 37 NA NA NA
## 38 32.3346863 31.0969748 32.5111167
## 39 NA NA 99.3500000
## 40 382536546.8000000 410335949.2000000 488543949.3000000
## 41 11.9800000 12.0600000 12.1100000
## 42 13.9000000 14.0100000 14.0700000
## 43 NA NA NA
## 44 14.6848437 10.5806247 11.4309636
## 45 NA NA NA
## 46 39331000000.0000000 42586900000.0000000 48173000000.0000000
## 47 NA NA 32.4100000
## 48 NA NA 24.0700000
## 49 1.7271160 1.7271160 1.7271160
## 50 0.0085063 0.0084991 0.0169578
## 51 NA NA NA
## 52 2.3314942 2.0090685 1.0941814
## 53 1.5270927 1.9265464 1.9576720
## X2005 X2006 X2007
## 1 15.4000000 13.1300000 13.2900000
## 2 21.6509600 19.4530600 45.0371300
## 3 81629088709.0000000 80394287609.0000000 90633928910.0000000
## 4 99.5800000 99.5800000 99.5700000
## 5 99.6000000 99.6000000 99.6100000
## 6 19.0422309 18.2445287 16.3498809
## 7 15.4900000 13.2600000 13.4600000
## 8 14.7200000 13.1100000 13.0500000
## 9 23.8953200 18.4200700 44.8056800
## 10 21.1637500 19.6024400 45.0709500
## 11 NA NA NA
## 12 9.1794534 8.7797584 9.7724734
## 13 7.6078876 7.4409604 8.2218765
## 14 11.3000000 11.3000000 11.3000000
## 15 8790400000.0000000 9162391000.0000000 13723900000.0000000
## 16 25.9400000 25.9400000 26.0000000
## 17 40927000000.0000000 42966000000.0000000 51968000000.0000000
## 18 0.5855470 0.5581049 0.3650990
## 19 1.3000000 1.3000000 2.7000000
## 20 16.2469873 15.9548502 19.2950046
## 21 27.5175216 25.4196010 22.3948250
## 22 1675900000.0000000 1771133000.0000000 2007900000.0000000
## 23 14888300000.0000000 14597713000.0000000 15928700000.0000000
## 24 9.3500000 11.5900000 11.6200000
## 25 18.2800000 14.3400000 14.5600000
## 26 34.0000000 34.0000000 34.0000000
## 27 697900000.0000000 625284000.0000000 698600000.0000000
## 28 32.5000000 32.5000000 32.8000000
## 29 NA NA NA
## 30 27937000000.0000000 31149795000.0000000 38687300000.0000000
## 31 15701500000.0000000 15343676000.0000000 16707600000.0000000
## 32 9.3900000 11.6500000 11.7000000
## 33 18.4100000 14.5000000 14.7800000
## 34 13.7600000 12.5100000 12.5600000
## 35 14.0800000 14.9900000 14.8800000
## 36 14.8000000 12.7400000 12.6900000
## 37 NA NA NA
## 38 33.8810180 37.0389292 37.8589833
## 39 99.3500000 99.3500000 99.3700000
## 40 564540713.2000000 594070905.2000000 737265472.6000000
## 41 11.9100000 11.8100000 11.8600000
## 42 14.0900000 12.5000000 12.5700000
## 43 NA NA NA
## 44 10.6606902 10.8946191 13.4300636
## 45 408.0000000 408.0000000 408.0000000
## 46 54104800000.0000000 57426995000.0000000 71126700000.0000000
## 47 32.4100000 32.4100000 32.3200000
## 48 24.0700000 24.0700000 24.1400000
## 49 3.1746030 3.3695240 2.2047830
## 50 0.0686577 0.0000000 0.0000000
## 51 19.9000000 19.9000000 18.8000000
## 52 1.2899040 1.0888329 0.9821909
## 53 2.0324730 2.1059808 1.9649097
## X2008 X2009 X2010
## 1 421.5000000 12.6500000 13.0500000
## 2 22.3663000 45.4118500 45.8636500
## 3 99768623911.0000000 112000000000.0000000 125000000000.0000000
## 4 99.5700000 99.5700000 99.5700000
## 5 99.6100000 99.6100000 99.6100000
## 6 17.4574678 16.1475158 16.2862355
## 7 421.5000000 12.9000000 13.3500000
## 8 15.0700000 12.7700000 12.9800000
## 9 29.0954300 45.9641300 48.2941400
## 10 20.7837300 45.2907100 45.3338100
## 11 NA 14.9000000 NA
## 12 10.4400864 11.8440369 13.3961154
## 13 8.4574976 10.0097517 12.4072141
## 14 11.3000000 11.3000000 11.3000000
## 15 16626800000.0000000 24051800000.0000000 33821327000.0000000
## 16 26.0000000 26.0000000 26.0000000
## 17 60401000000.0000000 78744000000.0000000 109000000000.0000000
## 18 0.0000000 0.3645801 0.3813659
## 19 2.7000000 2.9000000 2.8000000
## 20 19.5252444 20.5480845 21.1667216
## 21 24.0918368 22.0116308 20.9934411
## 22 2451000000.0000000 3195600000.0000000 1063759000.0000000
## 23 20515500000.0000000 25764900000.0000000 33544450000.0000000
## 24 917.7500000 11.1800000 11.1300000
## 25 150.9200000 13.7900000 14.2500000
## 26 34.0000000 34.0000000 34.0000000
## 27 445600000.0000000 793800000.0000000 915461000.0000000
## 28 34.1000000 32.5000000 31.7000000
## 29 NA NA NA
## 30 45015200000.0000000 62995100000.0000000 89681363000.0000000
## 31 21062400000.0000000 26808800000.0000000 35218933000.0000000
## 32 917.7500000 11.3000000 11.3000000
## 33 150.9200000 14.1100000 14.6200000
## 34 15.4100000 12.4300000 12.3300000
## 35 22.3600000 16.0200000 16.5800000
## 36 13.7800000 12.1800000 12.2900000
## 37 NA 63.4000000 NA
## 38 37.3106296 37.9433011 41.4712109
## 39 99.3700000 99.3700000 99.3700000
## 40 929013185.9000000 1024265562.0000000 1467183643.0000000
## 41 19.2000000 12.2000000 12.0200000
## 42 14.0900000 12.3000000 12.2200000
## 43 NA 2.0000000 NA
## 44 13.7810423 14.4869155 15.6399428
## 45 408.0000000 338.0000000 338.0000000
## 46 85155400000.0000000 117000000000.0000000 160000000000.0000000
## 47 32.3200000 32.3200000 32.3200000
## 48 24.1400000 24.1400000 24.1400000
## 49 0.0000000 2.2047830 2.1530310
## 50 0.0000000 0.0000000 0.0000000
## 51 20.1000000 18.4000000 17.6000000
## 52 0.5232786 0.6781642 0.5729316
## 53 2.0314994 1.9247785 0.4919124
## X2011 X2012 X2013
## 1 12.4500000 12.4500000 15.0400000
## 2 48.9040600 22.6493500 40.1872400
## 3 123000000000.0000000 125000000000.0000000 136000000000.0000000
## 4 99.5700000 99.5700000 99.5500000
## 5 99.6100000 99.6100000 99.6400000
## 6 14.4618636 15.2213727 17.2043102
## 7 12.8000000 12.8700000 15.6500000
## 8 13.1500000 12.8500000 11.8200000
## 9 51.0663900 24.6019800 43.4402400
## 10 48.4738200 22.2418000 39.6769300
## 11 NA NA 10.4000000
## 12 11.6246755 12.0408046 13.2978859
## 13 10.4874608 10.4738290 11.0392133
## 14 11.3000000 11.3000000 11.3000000
## 15 43121246000.0000000 51303230000.0000000 64186691000.0000000
## 16 26.0000000 26.0000000 26.2600000
## 17 123000000000.0000000 140000000000.0000000 172000000000.0000000
## 18 0.2817439 0.3390478 0.5153311
## 19 3.0000000 3.0000000 1.0000000
## 20 23.7904286 24.2312975 24.7619509
## 21 19.3902854 19.3205127 20.9586212
## 22 1324195000.0000000 2908351000.0000000 3489525000.0000000
## 23 35145784000.0000000 40905969000.0000000 54327890000.0000000
## 24 11.0800000 10.9000000 13.7500000
## 25 13.7000000 13.7800000 15.5200000
## 26 34.0000000 34.0000000 34.0000000
## 27 292395000.0000000 861574000.0000000 439097000.0000000
## 28 31.5000000 31.5000000 29.9000000
## 29 NA NA NA
## 30 100000000000.0000000 114000000000.0000000 135000000000.0000000
## 31 36575544000.0000000 43390806000.0000000 56931815000.0000000
## 32 11.2900000 11.1700000 14.2500000
## 33 14.1500000 14.3100000 16.1700000
## 34 12.3500000 12.2000000 12.2100000
## 35 17.9400000 17.2900000 16.0000000
## 36 12.3800000 12.1300000 11.2100000
## 37 NA NA 65.6000000
## 38 39.6320792 40.0329749 40.6770903
## 39 99.3700000 99.3700000 99.4200000
## 40 1703933395.0000000 1727421573.0000000 1955546313.0000000
## 41 12.2700000 12.0800000 11.8000000
## 42 12.1700000 12.0500000 12.1900000
## 43 NA NA 2.7000000
## 44 17.0500152 17.9970287 19.3966720
## 45 326.0000000 326.0000000 334.0000000
## 46 181000000000.0000000 212000000000.0000000 259000000000.0000000
## 47 32.3200000 32.3200000 32.6200000
## 48 24.1400000 24.1400000 24.1200000
## 49 1.7723040 1.8624210 3.4985420
## 50 0.0000000 0.0454726 0.0000000
## 51 17.2000000 17.2000000 17.6000000
## 52 0.1613173 0.4069345 0.1693949
## 53 0.5235828 1.0202413 1.0545048
## X2014 X2015 X2016
## 1 10.5500000 12.31000000 12.35000000
## 2 48.1584700 48.41149000 48.11775000
## 3 148000000000.0000000 162000000000.00000000 170000000000.00000000
## 4 99.5500000 99.55000000 99.55000000
## 5 99.6400000 99.64000000 99.64000000
## 6 16.8006144 16.63159732 15.68282462
## 7 11.3100000 13.08000000 13.07000000
## 8 12.6600000 12.63000000 12.65000000
## 9 48.1112100 47.64338000 47.42036000
## 10 48.1782100 48.56504000 48.25839000
## 11 NA NA NA
## 12 13.9949105 14.68630457 16.14374976
## 13 11.6624012 12.26907017 13.05068800
## 14 11.3000000 11.30000000 11.30000000
## 15 75608249000.0000000 86168029438.00000000 114000000000.00000000
## 16 26.2600000 26.26000000 26.26000000
## 17 210000000000.0000000 237000000000.00000000 267000000000.00000000
## 18 0.0000000 0.84495140 0.88773500
## 19 1.0000000 1.10000000 1.10000000
## 20 24.1992925 24.20838353 27.11610048
## 21 20.5229828 19.81470993 18.47785808
## 22 4485704000.0000000 5508835142.00000000 5990203529.00000000
## 23 64121990000.0000000 70529058946.00000000 77802641716.00000000
## 24 8.0800000 11.35000000 12.26000000
## 25 13.1200000 13.17000000 12.40000000
## 26 34.0000000 34.00000000 34.00000000
## 27 1069880000.0000000 314849716.39999998 159554770.69999999
## 28 29.9000000 29.90000000 29.90000000
## 29 NA NA NA
## 30 164000000000.0000000 189000000000.00000000 219000000000.00000000
## 31 67980556000.0000000 74844459070.00000000 82184049221.00000000
## 32 8.4900000 11.93000000 12.89000000
## 33 14.1100000 14.09000000 13.18000000
## 34 12.2300000 12.25000000 12.14000000
## 35 16.2200000 16.86000000 18.40000000
## 36 12.1200000 12.07000000 11.89000000
## 37 NA NA NA
## 38 40.6210242 42.09241158 41.73543924
## 39 99.4200000 99.42000000 99.42000000
## 40 2138934650.0000000 2382471163.00000000 2508487301.00000000
## 41 11.7500000 11.86000000 12.15000000
## 42 12.2300000 12.23000000 11.97000000
## 43 NA NA NA
## 44 18.6857112 19.14786994 21.78746495
## 45 334.0000000 334.00000000 339.00000000
## 46 312000000000.0000000 356000000000.00000000 421000000000.00000000
## 47 32.6200000 32.62000000 32.62000000
## 48 24.1200000 24.12000000 24.12000000
## 49 0.0000000 5.67859200 5.92049600
## 50 0.0000000 0.00000000 0.00000000
## 51 17.6000000 17.60000000 17.60000000
## 52 0.3424274 0.08845511 0.03789371
## 53 1.1085903 1.22414844 1.14308448
## X2017 X2018 X2019
## 1 NA 12.36000000 14.22000000
## 2 NA 19.94126000 19.22991000
## 3 192000000000.00000000 211000000000.00000000 230000000000.00000000
## 4 NA 99.54000000 99.47000000
## 5 NA 99.63000000 99.63000000
## 6 15.75943716 15.79245840 16.03055514
## 7 NA 13.42000000 15.43000000
## 8 NA 12.79000000 20.20000000
## 9 NA 28.52165000 26.64560000
## 10 NA 18.46353000 18.02381000
## 11 NA NA NA
## 12 17.99936212 19.08282606 19.80906024
## 13 13.98934979 16.40675864 16.90920019
## 14 11.30000000 19.90000000 26.20000000
## 15 145000000000.00000000 155000000000.00000000 188000000000.00000000
## 16 NA 26.33000000 26.33000000
## 17 357000000000.00000000 445000000000.00000000 516000000000.00000000
## 18 NA 0.24963290 0.21598270
## 19 1.10000000 1.10000000 0.70000000
## 20 26.15179132 23.47117513 24.63362342
## 21 17.76787505 18.44066251 17.92326296
## 22 27392715000.00000000 10465303530.00000000 8442841000.00000000
## 23 98410300000.00000000 122000000000.00000000 137000000000.00000000
## 24 NA 11.14000000 12.97000000
## 25 NA 12.77000000 14.74000000
## 26 34.00000000 39.00000000 46.00000000
## 27 125130000.00000000 102360000.00000000 237634000.00000000
## 28 30.00000000 37.00000000 41.80000000
## 29 NA NA NA
## 30 279000000000.00000000 367000000000.00000000 424000000000.00000000
## 31 103000000000.00000000 127000000000.00000000 143000000000.00000000
## 32 NA 12.20000000 14.06000000
## 33 NA 13.82000000 15.99000000
## 34 NA 13.19000000 17.27000000
## 35 NA 23.78000000 73.04000000
## 36 NA 11.11000000 12.57000000
## 37 NA NA NA
## 38 42.59794073 45.73115230 47.46473999
## 39 NA 99.41000000 99.40000000
## 40 3357251910.00000000 4262858915.00000000 4575218471.00000000
## 41 NA 15.82000000 27.66000000
## 42 NA 12.12000000 13.55000000
## 43 NA NA NA
## 44 22.14941899 19.26866565 21.06220360
## 45 339.00000000 353.00000000 377.00000000
## 46 554000000000.00000000 659000000000.00000000 764000000000.00000000
## 47 NA 32.88000000 32.88000000
## 48 NA 24.12000000 24.12000000
## 49 NA 1.49328000 1.36914200
## 50 NA 0.00000000 0.00000000
## 51 17.60000000 16.00000000 15.00000000
## 52 0.02259209 0.01552102 0.03108693
## 53 4.18881241 1.30274250 0.94435069
## X2020 X2021
## 1 11.60000000 NA
## 2 20.06978000 NA
## 3 226000000000.00000000 244000000000
## 4 99.47000000 NA
## 5 99.63000000 NA
## 6 15.81359711 NA
## 7 12.66000000 NA
## 8 12.10000000 NA
## 9 29.78410000 NA
## 10 18.52515000 NA
## 11 NA NA
## 12 15.77364973 NA
## 13 10.51234967 NA
## 14 NA NA
## 15 213000000000.00000000 NA
## 16 26.33000000 NA
## 17 460000000000.00000000 615000000000
## 18 0.21472190 NA
## 19 NA NA
## 20 34.76302493 NA
## 21 19.16977380 NA
## 22 6619530000.00000000 NA
## 23 118000000000.00000000 NA
## 24 11.45000000 NA
## 25 11.21000000 NA
## 26 NA NA
## 27 112370000.00000000 NA
## 28 NA NA
## 29 NA NA
## 30 270000000000.00000000 NA
## 31 124000000000.00000000 NA
## 32 12.49000000 NA
## 33 12.29000000 NA
## 34 12.60000000 NA
## 35 18.70000000 NA
## 36 11.17000000 NA
## 37 NA NA
## 38 34.45891513 NA
## 39 99.40000000 NA
## 40 3956454691.00000000 5216026828
## 41 13.29000000 NA
## 42 12.19000000 NA
## 43 NA NA
## 44 27.23947011 NA
## 45 NA NA
## 46 613000000000.00000000 NA
## 47 32.88000000 NA
## 48 24.12000000 NA
## 49 1.47203100 NA
## 50 0.00000000 NA
## 51 NA NA
## 52 0.01831949 NA
## 53 0.84561214 NA# Dimension of the dataframe
dim(nepal_df)## [1] 53 66temp_df = filter(nepal_dt, grepl("gdp", tolower(IndicatorName), fixed = TRUE) | grepl("gdp", tolower(IndicatorCode), fixed = TRUE))
nepal_df <- rbind(nepal_df, temp_df)
nepal_df## CountryName CountryCode
## 1 Nepal NPL
## 2 Nepal NPL
## 3 Nepal NPL
## 4 Nepal NPL
## 5 Nepal NPL
## 6 Nepal NPL
## 7 Nepal NPL
## 8 Nepal NPL
## 9 Nepal NPL
## 10 Nepal NPL
## 11 Nepal NPL
## 12 Nepal NPL
## 13 Nepal NPL
## 14 Nepal NPL
## 15 Nepal NPL
## 16 Nepal NPL
## 17 Nepal NPL
## 18 Nepal NPL
## 19 Nepal NPL
## 20 Nepal NPL
## 21 Nepal NPL
## 22 Nepal NPL
## 23 Nepal NPL
## 24 Nepal NPL
## 25 Nepal NPL
## 26 Nepal NPL
## 27 Nepal NPL
## 28 Nepal NPL
## 29 Nepal NPL
## 30 Nepal NPL
## 31 Nepal NPL
## 32 Nepal NPL
## 33 Nepal NPL
## 34 Nepal NPL
## 35 Nepal NPL
## 36 Nepal NPL
## 37 Nepal NPL
## 38 Nepal NPL
## 39 Nepal NPL
## 40 Nepal NPL
## 41 Nepal NPL
## 42 Nepal NPL
## 43 Nepal NPL
## 44 Nepal NPL
## 45 Nepal NPL
## 46 Nepal NPL
## 47 Nepal NPL
## 48 Nepal NPL
## 49 Nepal NPL
## 50 Nepal NPL
## 51 Nepal NPL
## 52 Nepal NPL
## 53 Nepal NPL
## 54 Nepal NPL
## 55 Nepal NPL
## 56 Nepal NPL
## 57 Nepal NPL
## 58 Nepal NPL
## 59 Nepal NPL
## 60 Nepal NPL
## 61 Nepal NPL
## 62 Nepal NPL
## 63 Nepal NPL
## 64 Nepal NPL
## 65 Nepal NPL
## 66 Nepal NPL
## 67 Nepal NPL
## 68 Nepal NPL
## 69 Nepal NPL
## 70 Nepal NPL
## 71 Nepal NPL
## 72 Nepal NPL
## 73 Nepal NPL
## 74 Nepal NPL
## 75 Nepal NPL
## 76 Nepal NPL
## 77 Nepal NPL
## 78 Nepal NPL
## 79 Nepal NPL
## 80 Nepal NPL
## 81 Nepal NPL
## 82 Nepal NPL
## 83 Nepal NPL
## 84 Nepal NPL
## 85 Nepal NPL
## 86 Nepal NPL
## 87 Nepal NPL
## 88 Nepal NPL
## 89 Nepal NPL
## 90 Nepal NPL
## 91 Nepal NPL
## 92 Nepal NPL
## 93 Nepal NPL
## 94 Nepal NPL
## 95 Nepal NPL
## 96 Nepal NPL
## 97 Nepal NPL
## 98 Nepal NPL
## 99 Nepal NPL
## 100 Nepal NPL
## 101 Nepal NPL
## 102 Nepal NPL
## 103 Nepal NPL
## 104 Nepal NPL
## 105 Nepal NPL
## 106 Nepal NPL
## 107 Nepal NPL
## 108 Nepal NPL
## 109 Nepal NPL
## 110 Nepal NPL
## 111 Nepal NPL
## 112 Nepal NPL
## 113 Nepal NPL
## 114 Nepal NPL
## 115 Nepal NPL
## 116 Nepal NPL
## 117 Nepal NPL
## 118 Nepal NPL
## 119 Nepal NPL
## 120 Nepal NPL
## 121 Nepal NPL
## 122 Nepal NPL
## 123 Nepal NPL
## 124 Nepal NPL
## 125 Nepal NPL
## 126 Nepal NPL
## 127 Nepal NPL
## 128 Nepal NPL
## 129 Nepal NPL
## 130 Nepal NPL
## 131 Nepal NPL
## 132 Nepal NPL
## 133 Nepal NPL
## 134 Nepal NPL
## 135 Nepal NPL
## 136 Nepal NPL
## 137 Nepal NPL
## 138 Nepal NPL
## 139 Nepal NPL
## 140 Nepal NPL
## 141 Nepal NPL
## 142 Nepal NPL
## 143 Nepal NPL
## IndicatorName
## 1 Tariff rate, applied, weighted mean, all products (%)
## 2 Share of tariff lines with international peaks, all products (%)
## 3 Taxes less subsidies on products (constant LCU)
## 4 Binding coverage, primary products (%)
## 5 Binding coverage, manufactured products (%)
## 6 Taxes on international trade (% of revenue)
## 7 Tariff rate, most favored nation, weighted mean, all products (%)
## 8 Tariff rate, applied, simple mean, all products (%)
## 9 Share of tariff lines with international peaks, primary products (%)
## 10 Share of tariff lines with international peaks, manufactured products (%)
## 11 Firms expected to give gifts in meetings with tax officials (% of firms)
## 12 Tax revenue (% of GDP)
## 13 Taxes on goods and services (% value added of industry and services)
## 14 Labor tax and contributions (% of commercial profits)
## 15 Taxes on income, profits and capital gains (current LCU)
## 16 Bound rate, simple mean, all products (%)
## 17 Taxes less subsidies on products (current LCU)
## 18 Share of tariff lines with specific rates, all products (%)
## 19 Other taxes payable by businesses (% of commercial profits)
## 20 Taxes on income, profits and capital gains (% of total taxes)
## 21 Customs and other import duties (% of tax revenue)
## 22 Other taxes (current LCU)
## 23 Customs and other import duties (current LCU)
## 24 Tariff rate, applied, weighted mean, primary products (%)
## 25 Tariff rate, applied, weighted mean, manufactured products (%)
## 26 Tax payments (number)
## 27 Taxes on exports (current LCU)
## 28 Total tax and contribution rate (% of profit)
## 29 Firms that do not report all sales for tax purposes (% of firms)
## 30 Taxes on goods and services (current LCU)
## 31 Taxes on international trade (current LCU)
## 32 Tariff rate, most favored nation, weighted mean, primary products (%)
## 33 Tariff rate, most favored nation, weighted mean, manufactured products (%)
## 34 Tariff rate, most favored nation, simple mean, all products (%)
## 35 Tariff rate, applied, simple mean, primary products (%)
## 36 Tariff rate, applied, simple mean, manufactured products (%)
## 37 Firms visited or required meetings with tax officials (% of firms)
## 38 Taxes on goods and services (% of revenue)
## 39 Binding coverage, all products (%)
## 40 Taxes less subsidies on products (current US$)
## 41 Tariff rate, most favored nation, simple mean, primary products (%)
## 42 Tariff rate, most favored nation, simple mean, manufactured products (%)
## 43 Number of visits or required meetings with tax officials (average for affected firms)
## 44 Taxes on income, profits and capital gains (% of revenue)
## 45 Time to prepare and pay taxes (hours)
## 46 Tax revenue (current LCU)
## 47 Bound rate, simple mean, primary products (%)
## 48 Bound rate, simple mean, manufactured products (%)
## 49 Share of tariff lines with specific rates, primary products (%)
## 50 Share of tariff lines with specific rates, manufactured products (%)
## 51 Profit tax (% of commercial profits)
## 52 Taxes on exports (% of tax revenue)
## 53 Other taxes (% of revenue)
## 54 Merchandise trade (% of GDP)
## 55 GDP (constant 2015 US$)
## 56 Coal rents (% of GDP)
## 57 GDP per capita, PPP (constant 2017 international $)
## 58 Mineral rents (% of GDP)
## 59 GDP (constant LCU)
## 60 Inflation, GDP deflator: linked series (annual %)
## 61 Services, value added (% of GDP)
## 62 Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)
## 63 Personal remittances, received (% of GDP)
## 64 GDP per person employed (constant 2017 PPP $)
## 65 Government expenditure per student, tertiary (% of GDP per capita)
## 66 Gross domestic savings (% of GDP)
## 67 GDP growth (annual %)
## 68 Inflation, GDP deflator (annual %)
## 69 Current health expenditure (% of GDP)
## 70 Government expenditure per student, primary (% of GDP per capita)
## 71 Oil rents (% of GDP)
## 72 GDP (current US$)
## 73 Gross national expenditure (% of GDP)
## 74 Domestic general government health expenditure (% of GDP)
## 75 Government expenditure on education, total (% of GDP)
## 76 Price level ratio of PPP conversion factor (GDP) to market exchange rate
## 77 GDP, PPP (constant 2017 international $)
## 78 GDP deflator: linked series (base year varies by country)
## 79 Gross capital formation (% of GDP)
## 80 Tax revenue (% of GDP)
## 81 Domestic credit provided by financial sector (% of GDP)
## 82 Monetary Sector credit to private sector (% GDP)
## 83 CO2 emissions (kg per 2015 US$ of GDP)
## 84 GDP per capita, PPP (current international $)
## 85 Forest rents (% of GDP)
## 86 Gross fixed capital formation (% of GDP)
## 87 Government expenditure per student, secondary (% of GDP per capita)
## 88 GDP: linked series (current LCU)
## 89 Manufacturing, value added (% of GDP)
## 90 Trade (% of GDP)
## 91 Revenue, excluding grants (% of GDP)
## 92 Research and development expenditure (% of GDP)
## 93 Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)
## 94 Net lending (+) / net borrowing (-) (% of GDP)
## 95 Current account balance (% of GDP)
## 96 Trade in services (% of GDP)
## 97 Households and NPISHs final consumption expenditure (% of GDP)
## 98 Net incurrence of liabilities, total (% of GDP)
## 99 Domestic credit to private sector (% of GDP)
## 100 Foreign direct investment, net outflows (% of GDP)
## 101 GDP per capita (constant 2015 US$)
## 102 Gross value added at basic prices (GVA) (current LCU)
## 103 Claims on central government, etc. (% GDP)
## 104 CO2 emissions (kg per PPP $ of GDP)
## 105 GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)
## 106 Energy intensity level of primary energy (MJ/$2017 PPP GDP)
## 107 Net investment in nonfinancial assets (% of GDP)
## 108 Broad money (% of GDP)
## 109 GDP per capita growth (annual %)
## 110 Gross value added at basic prices (GVA) (constant 2015 US$)
## 111 Total natural resources rents (% of GDP)
## 112 GDP (current LCU)
## 113 External balance on goods and services (% of GDP)
## 114 Military expenditure (% of GDP)
## 115 Natural gas rents (% of GDP)
## 116 Discrepancy in expenditure estimate of GDP (current LCU)
## 117 Industry (including construction), value added (% of GDP)
## 118 Gross fixed capital formation, private sector (% of GDP)
## 119 Central government debt, total (% of GDP)
## 120 Claims on other sectors of the domestic economy (% of GDP)
## 121 CO2 emissions (kg per 2017 PPP $ of GDP)
## 122 Foreign direct investment, net inflows (% of GDP)
## 123 GDP per capita (constant LCU)
## 124 Gross value added at basic prices (GVA) (constant LCU)
## 125 Imports of goods and services (% of GDP)
## 126 Gross savings (% of GDP)
## 127 GDP per capita (current US$)
## 128 Discrepancy in expenditure estimate of GDP (constant LCU)
## 129 Agriculture, forestry, and fishing, value added (% of GDP)
## 130 Stocks traded, total value (% of GDP)
## 131 Market capitalization of listed domestic companies (% of GDP)
## 132 PPP conversion factor, GDP (LCU per international $)
## 133 GDP, PPP (current international $)
## 134 GDP deflator (base year varies by country)
## 135 Exports of goods and services (% of GDP)
## 136 GDP per capita (current LCU)
## 137 Gross value added at basic prices (GVA) (current US$)
## 138 Final consumption expenditure (% of GDP)
## 139 Net acquisition of financial assets (% of GDP)
## 140 GDP per unit of energy use (PPP $ per kg of oil equivalent)
## 141 General government final consumption expenditure (% of GDP)
## 142 Expense (% of GDP)
## 143 Domestic credit to private sector by banks (% of GDP)
## IndicatorCode X1960 X1961
## 1 TM.TAX.MRCH.WM.AR.ZS NA NA
## 2 TM.TAX.MRCH.IP.ZS NA NA
## 3 NY.TAX.NIND.KN NA NA
## 4 TM.TAX.TCOM.BC.ZS NA NA
## 5 TM.TAX.MANF.BC.ZS NA NA
## 6 GC.TAX.INTT.RV.ZS NA NA
## 7 TM.TAX.MRCH.WM.FN.ZS NA NA
## 8 TM.TAX.MRCH.SM.AR.ZS NA NA
## 9 TM.TAX.TCOM.IP.ZS NA NA
## 10 TM.TAX.MANF.IP.ZS NA NA
## 11 IC.TAX.GIFT.ZS NA NA
## 12 GC.TAX.TOTL.GD.ZS NA NA
## 13 GC.TAX.GSRV.VA.ZS NA NA
## 14 IC.TAX.LABR.CP.ZS NA NA
## 15 GC.TAX.YPKG.CN NA NA
## 16 TM.TAX.MRCH.BR.ZS NA NA
## 17 NY.TAX.NIND.CN 54000000.000000000 56000000.0000000
## 18 TM.TAX.MRCH.SR.ZS NA NA
## 19 IC.TAX.OTHR.CP.ZS NA NA
## 20 GC.TAX.YPKG.ZS NA NA
## 21 GC.TAX.IMPT.ZS NA NA
## 22 GC.TAX.OTHR.CN NA NA
## 23 GC.TAX.IMPT.CN NA NA
## 24 TM.TAX.TCOM.WM.AR.ZS NA NA
## 25 TM.TAX.MANF.WM.AR.ZS NA NA
## 26 IC.TAX.PAYM NA NA
## 27 GC.TAX.EXPT.CN NA NA
## 28 IC.TAX.TOTL.CP.ZS NA NA
## 29 IC.FRM.INFM.ZS NA NA
## 30 GC.TAX.GSRV.CN NA NA
## 31 GC.TAX.INTT.CN NA NA
## 32 TM.TAX.TCOM.WM.FN.ZS NA NA
## 33 TM.TAX.MANF.WM.FN.ZS NA NA
## 34 TM.TAX.MRCH.SM.FN.ZS NA NA
## 35 TM.TAX.TCOM.SM.AR.ZS NA NA
## 36 TM.TAX.MANF.SM.AR.ZS NA NA
## 37 IC.FRM.METG.ZS NA NA
## 38 GC.TAX.GSRV.RV.ZS NA NA
## 39 TM.TAX.MRCH.BC.ZS NA NA
## 40 NY.TAX.NIND.CD 7087544.297000000 7350045.9380000
## 41 TM.TAX.TCOM.SM.FN.ZS NA NA
## 42 TM.TAX.MANF.SM.FN.ZS NA NA
## 43 IC.TAX.METG NA NA
## 44 GC.TAX.YPKG.RV.ZS NA NA
## 45 IC.TAX.DURS NA NA
## 46 GC.TAX.TOTL.CN NA NA
## 47 TM.TAX.TCOM.BR.ZS NA NA
## 48 TM.TAX.MANF.BR.ZS NA NA
## 49 TM.TAX.TCOM.SR.ZS NA NA
## 50 TM.TAX.MANF.SR.ZS NA NA
## 51 IC.TAX.PRFT.CP.ZS NA NA
## 52 GC.TAX.EXPT.ZS NA NA
## 53 GC.TAX.OTHR.RV.ZS NA NA
## 54 TG.VAL.TOTL.GD.ZS 10.819649130 4.8875896
## 55 NY.GDP.MKTP.KD 3312006963.000000000 3375208865.0000000
## 56 NY.GDP.COAL.RT.ZS NA NA
## 57 NY.GDP.PCAP.PP.KD NA NA
## 58 NY.GDP.MINR.RT.ZS NA NA
## 59 NY.GDP.MKTP.KN 253000000000.000000000 258000000000.0000000
## 60 NY.GDP.DEFL.KD.ZG.AD NA NA
## 61 NV.SRV.TOTL.ZS 98.605729370 98.6183074
## 62 ER.GDP.FWTL.M3.KD NA NA
## 63 BX.TRF.PWKR.DT.GD.ZS NA NA
## 64 SL.GDP.PCAP.EM.KD NA NA
## 65 SE.XPD.TERT.PC.ZS NA NA
## 66 NY.GDS.TOTL.ZS NA NA
## 67 NY.GDP.MKTP.KD.ZG NA 1.9082660
## 68 NY.GDP.DEFL.KD.ZG NA 2.6880000
## 69 SH.XPD.CHEX.GD.ZS NA NA
## 70 SE.XPD.PRIM.PC.ZS NA NA
## 71 NY.GDP.PETR.RT.ZS NA NA
## 72 NY.GDP.MKTP.CD 508334414.000000000 531959561.6000000
## 73 NE.DAB.TOTL.ZS NA NA
## 74 SH.XPD.GHED.GD.ZS NA NA
## 75 SE.XPD.TOTL.GD.ZS NA NA
## 76 PA.NUS.PPPC.RF NA NA
## 77 NY.GDP.MKTP.PP.KD NA NA
## 78 NY.GDP.DEFL.ZS.AD NA NA
## 79 NE.GDI.TOTL.ZS NA NA
## 80 GC.TAX.TOTL.GD.ZS NA NA
## 81 FS.AST.DOMS.GD.ZS NA NA
## 82 FM.AST.PRVT.GD.ZS 1.045701034 1.2262522
## 83 EN.ATM.CO2E.KD.GD NA NA
## 84 NY.GDP.PCAP.PP.CD NA NA
## 85 NY.GDP.FRST.RT.ZS NA NA
## 86 NE.GDI.FTOT.ZS NA NA
## 87 SE.XPD.SECO.PC.ZS NA NA
## 88 NY.GDP.MKTP.CN.AD NA NA
## 89 NV.IND.MANF.ZS NA NA
## 90 NE.TRD.GNFS.ZS NA NA
## 91 GC.REV.XGRT.GD.ZS NA NA
## 92 GB.XPD.RSDV.GD.ZS NA NA
## 93 EG.USE.COMM.GD.PP.KD NA NA
## 94 GC.NLD.TOTL.GD.ZS NA NA
## 95 BN.CAB.XOKA.GD.ZS NA NA
## 96 BG.GSR.NFSV.GD.ZS NA NA
## 97 NE.CON.PRVT.ZS NA NA
## 98 GC.LBL.TOTL.GD.ZS NA NA
## 99 FS.AST.PRVT.GD.ZS 1.045701034 1.2262522
## 100 BM.KLT.DINV.WD.GD.ZS NA NA
## 101 NY.GDP.PCAP.KD 327.757278300 328.7351119
## 102 NY.GDP.FCST.CN 3818999800.000000000 3996999900.0000000
## 103 FS.AST.CGOV.GD.ZS 0.002581978 -0.1579077
## 104 EN.ATM.CO2E.PP.GD NA NA
## 105 EG.GDP.PUSE.KO.PP.KD NA NA
## 106 EG.EGY.PRIM.PP.KD NA NA
## 107 GC.NFN.TOTL.GD.ZS NA NA
## 108 FM.LBL.BMNY.GD.ZS 5.411825598 6.3237110
## 109 NY.GDP.PCAP.KD.ZG NA 0.2983408
## 110 NY.GDP.FCST.KD NA NA
## 111 NY.GDP.TOTL.RT.ZS NA NA
## 112 NY.GDP.MKTP.CN 3872999900.000000000 4052999900.0000000
## 113 NE.RSB.GNFS.ZS NA NA
## 114 MS.MIL.XPND.GD.ZS NA NA
## 115 NY.GDP.NGAS.RT.ZS NA NA
## 116 NY.GDP.DISC.CN NA NA
## 117 NV.IND.TOTL.ZS NA NA
## 118 NE.GDI.FPRV.ZS NA NA
## 119 GC.DOD.TOTL.GD.ZS NA NA
## 120 FS.AST.DOMO.GD.ZS NA NA
## 121 EN.ATM.CO2E.PP.GD.KD NA NA
## 122 BX.KLT.DINV.WD.GD.ZS NA NA
## 123 NY.GDP.PCAP.KN 25056.702990000 25131.4573400
## 124 NY.GDP.FCST.KN NA NA
## 125 NE.IMP.GNFS.ZS NA NA
## 126 NY.GNS.ICTR.ZS NA NA
## 127 NY.GDP.PCAP.CD 50.304937720 51.8112487
## 128 NY.GDP.DISC.KN NA NA
## 129 NV.AGR.TOTL.ZS NA NA
## 130 CM.MKT.TRAD.GD.ZS NA NA
## 131 CM.MKT.LCAP.GD.ZS NA NA
## 132 PA.NUS.PPP NA NA
## 133 NY.GDP.MKTP.PP.CD NA NA
## 134 NY.GDP.DEFL.ZS 1.529623912 1.5707402
## 135 NE.EXP.GNFS.ZS NA NA
## 136 NY.GDP.PCAP.CN 383.273320500 394.7499041
## 137 NY.GDP.FCST.CD 501246856.500000000 524609515.7000000
## 138 NE.CON.TOTL.ZS NA NA
## 139 GC.AST.TOTL.GD.ZS NA NA
## 140 EG.GDP.PUSE.KO.PP NA NA
## 141 NE.CON.GOVT.ZS NA NA
## 142 GC.XPN.TOTL.GD.ZS NA NA
## 143 FD.AST.PRVT.GD.ZS 1.040537078 1.2139156
## X1962 X1963 X1964
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## 7 NA NA NA
## 8 NA NA NA
## 9 NA NA NA
## 10 NA NA NA
## 11 NA NA NA
## 12 NA NA NA
## 13 NA NA NA
## 14 NA NA NA
## 15 NA NA NA
## 16 NA NA NA
## 17 61000000.00000000 64000000.0000000 70000000.000000
## 18 NA NA NA
## 19 NA NA NA
## 20 NA NA NA
## 21 NA NA NA
## 22 NA NA NA
## 23 NA NA NA
## 24 NA NA NA
## 25 NA NA NA
## 26 NA NA NA
## 27 NA NA NA
## 28 NA NA NA
## 29 NA NA NA
## 30 NA NA NA
## 31 NA NA NA
## 32 NA NA NA
## 33 NA NA NA
## 34 NA NA NA
## 35 NA NA NA
## 36 NA NA NA
## 37 NA NA NA
## 38 NA NA NA
## 39 NA NA NA
## 40 8006300.03900000 6890092.2630000 6913580.247000
## 41 NA NA NA
## 42 NA NA NA
## 43 NA NA NA
## 44 NA NA NA
## 45 NA NA NA
## 46 NA NA NA
## 47 NA NA NA
## 48 NA NA NA
## 49 NA NA NA
## 50 NA NA NA
## 51 NA NA NA
## 52 NA NA NA
## 53 NA NA NA
## 54 5.22565146 23.5437153 28.421759
## 55 3439686156.00000000 3504872049.0000000 3768874732.000000
## 56 NA NA NA
## 57 NA NA NA
## 58 NA NA NA
## 59 263000000000.00000000 268000000000.0000000 288000000000.000000
## 60 NA NA NA
## 61 98.60539098 98.6135182 98.606407
## 62 NA NA NA
## 63 NA NA NA
## 64 NA NA NA
## 65 NA NA NA
## 66 NA NA NA
## 67 1.91032003 1.8951116 7.532449
## 68 5.89709100 3.5699251 1.194720
## 69 NA NA NA
## 70 NA NA NA
## 71 NA NA NA
## 72 574091101.20000005 496947904.4000000 496098775.300000
## 73 NA NA NA
## 74 NA NA NA
## 75 NA NA NA
## 76 NA NA NA
## 77 NA NA NA
## 78 NA NA NA
## 79 NA NA NA
## 80 NA NA NA
## 81 NA NA NA
## 82 1.25285777 1.2348354 1.499104
## 83 NA NA NA
## 84 NA NA NA
## 85 NA NA NA
## 86 NA NA NA
## 87 NA NA NA
## 88 NA NA NA
## 89 NA NA NA
## 90 NA NA NA
## 91 NA NA NA
## 92 NA NA NA
## 93 NA NA NA
## 94 NA NA NA
## 95 NA NA NA
## 96 NA NA NA
## 97 NA NA NA
## 98 NA NA NA
## 99 1.25285777 1.2348354 1.499104
## 100 NA NA NA
## 101 329.68826720 330.5042565 349.489003
## 102 4312999900.00000000 4552000000.0000000 4952999900.000000
## 103 -0.03886603 -0.3531196 -0.806291
## 104 NA NA NA
## 105 NA NA NA
## 106 NA NA NA
## 107 NA NA NA
## 108 6.09739355 7.2595321 8.333665
## 109 0.28994631 0.2475033 5.744176
## 110 NA NA NA
## 111 NA NA NA
## 112 4374000100.00000000 4616000000.0000000 5023000100.000000
## 113 NA NA NA
## 114 NA NA NA
## 115 NA NA NA
## 116 NA NA NA
## 117 NA NA NA
## 118 NA NA NA
## 119 NA NA NA
## 120 NA NA NA
## 121 NA NA NA
## 122 NA NA NA
## 123 25204.32508000 25266.7066100 26718.070750
## 124 NA NA NA
## 125 NA NA NA
## 126 NA NA NA
## 127 55.02568891 46.8614533 46.003404
## 128 NA NA NA
## 129 NA NA NA
## 130 NA NA NA
## 131 NA NA NA
## 132 NA NA NA
## 133 NA NA NA
## 134 1.66336818 1.7227492 1.743331
## 135 NA NA NA
## 136 419.24072380 435.2819809 465.784464
## 137 566084774.89999998 490057812.2000000 489185175.300000
## 138 NA NA NA
## 139 NA NA NA
## 140 NA NA NA
## 141 NA NA NA
## 142 NA NA NA
## 143 1.22770916 1.1676776 1.421461
## X1965 X1966 X1967
## 1 NA NA NA
## 2 NA NA NA
## 3 1075144628.0000000 1406731222.0000000 1185673493.00000000
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## 7 NA NA NA
## 8 NA NA NA
## 9 NA NA NA
## 10 NA NA NA
## 11 NA NA NA
## 12 NA NA NA
## 13 NA NA NA
## 14 NA NA NA
## 15 NA NA NA
## 16 NA NA NA
## 17 78000000.0000000 178000000.0000000 91000000.00000000
## 18 NA NA NA
## 19 NA NA NA
## 20 NA NA NA
## 21 NA NA NA
## 22 NA NA NA
## 23 NA NA NA
## 24 NA NA NA
## 25 NA NA NA
## 26 NA NA NA
## 27 NA NA NA
## 28 NA NA NA
## 29 NA NA NA
## 30 NA NA NA
## 31 NA NA NA
## 32 NA NA NA
## 33 NA NA NA
## 34 NA NA NA
## 35 NA NA NA
## 36 NA NA NA
## 37 NA NA NA
## 38 NA NA NA
## 39 NA NA NA
## 40 10237563.9800000 23362646.0200000 11943824.65000000
## 41 NA NA NA
## 42 NA NA NA
## 43 NA NA NA
## 44 NA NA NA
## 45 NA NA NA
## 46 NA NA NA
## 47 NA NA NA
## 48 NA NA NA
## 49 NA NA NA
## 50 NA NA NA
## 51 NA NA NA
## 52 NA NA NA
## 53 NA NA NA
## 54 22.4408251 13.8948324 13.18330455
## 55 3723528046.0000000 3985688368.0000000 3923053375.00000000
## 56 NA NA NA
## 57 NA NA NA
## 58 NA NA NA
## 59 285000000000.0000000 305000000000.0000000 300000000000.00000000
## 60 NA NA NA
## 61 23.1702967 19.6989472 22.52533402
## 62 NA NA NA
## 63 NA NA NA
## 64 NA NA NA
## 65 NA NA NA
## 66 NA NA NA
## 67 -1.2031890 7.0406431 -1.57149750
## 68 12.8851940 15.2188135 -5.66766503
## 69 NA NA NA
## 70 NA NA NA
## 71 NA NA NA
## 72 735267082.3000000 906811943.8000000 841974025.50000000
## 73 NA NA NA
## 74 NA NA NA
## 75 NA NA NA
## 76 NA NA NA
## 77 NA NA NA
## 78 NA NA NA
## 79 6.4441272 4.8342740 4.98830857
## 80 NA NA NA
## 81 NA NA NA
## 82 1.8939665 1.7889709 1.92049880
## 83 NA NA NA
## 84 NA NA NA
## 85 NA NA NA
## 86 NA NA NA
## 87 NA NA NA
## 88 NA NA NA
## 89 3.2845413 3.4303082 3.41387368
## 90 21.6886830 14.4015049 13.82696783
## 91 NA NA NA
## 92 NA NA NA
## 93 NA NA NA
## 94 NA NA NA
## 95 NA NA NA
## 96 NA NA NA
## 97 NA NA NA
## 98 NA NA NA
## 99 1.8939665 1.7889709 1.92049880
## 100 NA NA NA
## 101 339.3381853 356.7400014 344.64248770
## 102 5523999900.0000000 6731000200.0000000 6324000100.00000000
## 103 -0.4034274 0.4067159 0.56742010
## 104 NA NA NA
## 105 NA NA NA
## 106 NA NA NA
## 107 NA NA NA
## 108 9.3787935 8.0460267 9.37802012
## 109 -2.9044742 5.1281632 -3.39112902
## 110 3686900953.0000000 3942894641.0000000 3883721670.00000000
## 111 NA NA NA
## 112 5601999900.0000000 6909000200.0000000 6415000100.00000000
## 113 -6.1585149 -3.1118830 -0.07794232
## 114 NA NA NA
## 115 NA NA NA
## 116 NA NA NA
## 117 10.8532669 9.0316975 9.82073251
## 118 NA NA NA
## 119 NA NA NA
## 120 NA NA NA
## 121 NA NA NA
## 122 NA NA NA
## 123 25942.0512800 27272.4020200 26347.55968000
## 124 285000000000.0000000 305000000000.0000000 300000000000.00000000
## 125 13.9235990 8.7566939 6.95245507
## 126 NA NA NA
## 127 67.0074710 81.1644224 73.96790076
## 128 NA NA NA
## 129 64.5840765 68.6930057 66.23538322
## 130 NA NA NA
## 131 NA NA NA
## 132 NA NA NA
## 133 NA NA NA
## 134 1.9679628 2.2674634 2.13895117
## 135 7.7650840 5.6448110 6.87451275
## 136 510.5299213 618.3917340 563.56143590
## 137 725029518.3000000 883449297.8000000 830030200.79999995
## 138 NA NA NA
## 139 NA NA NA
## 140 NA NA NA
## 141 NA NA NA
## 142 NA NA NA
## 143 1.8332739 1.6196265 1.82696802
## X1968 X1969 X1970
## 1 NA NA NA
## 2 NA NA NA
## 3 1446923644.0000000 3024472246.000000 -1115337050.0000000
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## 7 NA NA NA
## 8 NA NA NA
## 9 NA NA NA
## 10 NA NA NA
## 11 NA NA NA
## 12 NA NA NA
## 13 NA NA NA
## 14 NA NA NA
## 15 NA NA NA
## 16 NA NA NA
## 17 108000000.0000000 161000000.000000 55000000.0000000
## 18 NA NA NA
## 19 NA NA NA
## 20 NA NA NA
## 21 NA NA NA
## 22 NA NA NA
## 23 NA NA NA
## 24 NA NA NA
## 25 NA NA NA
## 26 NA NA NA
## 27 NA NA NA
## 28 NA NA NA
## 29 NA NA NA
## 30 NA NA NA
## 31 NA NA NA
## 32 NA NA NA
## 33 NA NA NA
## 34 NA NA NA
## 35 NA NA NA
## 36 NA NA NA
## 37 NA NA NA
## 38 NA NA NA
## 39 NA NA NA
## 40 11627030.6900000 15901234.570000 5432098.7650000
## 41 NA NA NA
## 42 NA NA NA
## 43 NA NA NA
## 44 NA NA NA
## 45 NA NA NA
## 46 NA NA NA
## 47 NA NA NA
## 48 NA NA NA
## 49 NA NA NA
## 50 NA NA NA
## 51 NA NA NA
## 52 NA NA NA
## 53 NA NA NA
## 54 13.5970092 17.625235 13.5107778
## 55 3949552951.0000000 4125838151.000000 4232119417.0000000
## 56 NA NA NA
## 57 NA NA NA
## 58 NA NA 0.0000000
## 59 302000000000.0000000 315000000000.000000 324000000000.0000000
## 60 NA NA NA
## 61 21.0232853 21.202253 21.0424259
## 62 NA NA NA
## 63 NA NA NA
## 64 NA NA NA
## 65 NA NA NA
## 66 NA NA NA
## 67 0.6754835 4.463422 2.5759921
## 68 11.0658262 6.563831 7.0483308
## 69 NA NA NA
## 70 NA NA NA
## 71 NA NA NA
## 72 772228643.4000000 788641965.400000 865975308.6000000
## 73 NA NA NA
## 74 NA NA NA
## 75 NA NA NA
## 76 NA NA NA
## 77 NA NA NA
## 78 NA NA NA
## 79 5.6879965 4.846587 5.9648723
## 80 NA NA NA
## 81 NA NA NA
## 82 2.2152516 2.414527 2.8695255
## 83 NA NA NA
## 84 NA NA NA
## 85 NA NA 1.5473355
## 86 NA NA NA
## 87 NA NA NA
## 88 NA NA NA
## 89 3.5689390 3.844709 3.6838504
## 90 14.3454618 17.232311 13.2071168
## 91 NA NA NA
## 92 NA NA NA
## 93 NA NA NA
## 94 NA NA NA
## 95 NA NA NA
## 96 NA NA NA
## 97 NA NA NA
## 98 NA NA NA
## 99 2.2152516 2.414527 2.8695255
## 100 NA NA NA
## 101 340.3636539 348.623382 350.4968780
## 102 7065000200.0000000 7823999900.000000 8713000000.0000000
## 103 -2.3713927 -2.623669 -2.2810219
## 104 NA NA NA
## 105 NA NA NA
## 106 NA NA NA
## 107 NA NA NA
## 108 10.0097585 11.551660 10.5075274
## 109 -1.2415282 2.426736 0.5373982
## 110 3906404576.0000000 4059550032.000000 4223262069.0000000
## 111 NA NA 1.5473355
## 112 7173000200.0000000 7984999900.000000 8768000000.0000000
## 113 -0.6552349 -3.206011 -3.3987226
## 114 NA NA 0.5930193
## 115 NA NA NA
## 116 NA NA NA
## 117 10.0794644 10.356919 11.4621350
## 118 NA NA NA
## 119 NA NA NA
## 120 NA NA NA
## 121 NA NA NA
## 122 NA NA NA
## 123 26020.4472900 26651.894930 26795.1217300
## 124 302000000000.0000000 314000000000.000000 327000000000.0000000
## 125 7.5003483 10.219161 8.3029197
## 126 NA NA NA
## 127 66.5489401 66.638346 71.7185911
## 128 NA NA NA
## 129 67.3916041 66.424547 66.8681581
## 130 NA NA NA
## 131 NA NA NA
## 132 NA NA NA
## 133 NA NA NA
## 134 2.3756438 2.531577 2.7100110
## 135 6.8451134 7.013150 4.9041971
## 136 618.1531398 674.713251 726.1507352
## 137 760601612.7000000 772740730.900000 860543209.9000000
## 138 NA NA NA
## 139 NA NA NA
## 140 NA NA NA
## 141 NA NA NA
## 142 NA NA NA
## 143 2.1413634 2.275517 2.7395073
## X1971 X1972 X1973
## 1 NA NA NA
## 2 NA NA NA
## 3 2481876086.0000000 4049376524.000000000 3225433883.000000000
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## 7 NA NA NA
## 8 NA NA NA
## 9 NA NA NA
## 10 NA NA NA
## 11 NA NA NA
## 12 NA NA NA
## 13 NA NA NA
## 14 NA NA NA
## 15 NA NA NA
## 16 NA NA NA
## 17 163000000.0000000 239000000.000000000 204000000.000000000
## 18 NA NA NA
## 19 NA NA NA
## 20 NA NA NA
## 21 NA NA NA
## 22 NA NA NA
## 23 NA NA NA
## 24 NA NA NA
## 25 NA NA NA
## 26 NA NA NA
## 27 NA NA NA
## 28 NA NA NA
## 29 NA NA NA
## 30 NA NA NA
## 31 NA NA NA
## 32 NA NA NA
## 33 NA NA NA
## 34 NA NA NA
## 35 NA NA NA
## 36 NA NA NA
## 37 NA NA NA
## 38 NA NA NA
## 39 NA NA NA
## 40 16098765.4300000 23604938.270000000 19892541.270000000
## 41 NA NA NA
## 42 NA NA NA
## 43 NA NA NA
## 44 NA NA NA
## 45 NA NA NA
## 46 NA NA NA
## 47 NA NA NA
## 48 NA NA NA
## 49 NA NA NA
## 50 NA NA NA
## 51 NA NA NA
## 52 NA NA NA
## 53 NA NA NA
## 54 15.0662893 13.963496420 17.179272060
## 55 4181529368.0000000 4311901106.000000000 4291353333.000000000
## 56 0.0000000 0.000000000 0.000000000
## 57 NA NA NA
## 58 0.0000000 0.000000000 0.000000000
## 59 320000000000.0000000 330000000000.000000000 328000000000.000000000
## 60 NA NA NA
## 61 22.1973620 20.754176070 23.031401420
## 62 NA NA NA
## 63 NA NA NA
## 64 NA NA NA
## 65 NA NA NA
## 66 NA NA NA
## 67 -1.1953833 3.117800364 -0.476536268
## 68 3.1721761 12.502683340 -3.397305595
## 69 NA NA NA
## 70 NA NA NA
## 71 0.0000000 0.000000000 0.000000000
## 72 882765471.6000000 1024098805.000000000 972101725.000000000
## 73 NA NA NA
## 74 NA NA NA
## 75 NA NA NA
## 76 NA NA NA
## 77 NA NA NA
## 78 NA NA NA
## 79 7.7534120 7.329539692 9.178452837
## 80 NA NA NA
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## X2010 X2011 X2012
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## 119 33.862521230 NA NA
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## 124 1380000000000.000000000 1440000000000.000000000 1510000000000.00000000
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## 126 37.750483390 29.516207680 34.55533815
## 127 592.401207100 797.813947300 804.14160730
## 128 NA NA NA
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## 130 NA NA NA
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## 143 54.212607180 46.025578610 48.39298877
## X2013 X2014 X2015
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## 128 NA NA NA
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## X2016 X2017 X2018
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## 28 29.900000000 30.000000000 37.000000000
## 29 NA NA NA
## 30 219000000000.000000000 279000000000.000000000 367000000000.000000000
## 31 82184049221.000000000 103000000000.000000000 127000000000.000000000
## 32 12.890000000 NA 12.200000000
## 33 13.180000000 NA 13.820000000
## 34 12.140000000 NA 13.190000000
## 35 18.400000000 NA 23.780000000
## 36 11.890000000 NA 11.110000000
## 37 NA NA NA
## 38 41.735439240 42.597940730 45.731152300
## 39 99.420000000 NA 99.410000000
## 40 2508487301.000000000 3357251910.000000000 4262858915.000000000
## 41 12.150000000 NA 15.820000000
## 42 11.970000000 NA 12.120000000
## 43 NA NA NA
## 44 21.787464950 22.149418990 19.268665650
## 45 339.000000000 339.000000000 353.000000000
## 46 421000000000.000000000 554000000000.000000000 659000000000.000000000
## 47 32.620000000 NA 32.880000000
## 48 24.120000000 NA 24.120000000
## 49 5.920496000 NA 1.493280000
## 50 0.000000000 NA 0.000000000
## 51 17.600000000 17.600000000 16.000000000
## 52 0.037893706 0.022592088 0.015521019
## 53 1.143084483 4.188812407 1.302742504
## 54 39.271576580 38.268525480 40.765261170
## 55 24466305357.000000000 26662713937.000000000 28695046274.000000000
## 56 0.003656839 0.004472639 0.004915582
## 57 3315.814414000 3565.197807000 3773.715918000
## 58 0.000142212 0.000000000 0.000000000
## 59 1870000000000.000000000 2040000000000.000000000 2190000000000.000000000
## 60 7.150334788 8.261412551 4.355858465
## 61 51.598044090 51.849782290 51.590443470
## 62 NA 2.807458481 NA
## 63 26.960577690 23.913544110 25.026419950
## 64 6053.330917000 6442.269479000 6719.346198000
## 65 NA NA NA
## 66 3.642858923 12.984755150 14.791612110
## 67 0.433113718 8.977279354 7.622376108
## 68 7.150334788 8.261412551 4.355858465
## 69 5.423798080 4.721732620 4.528452400
## 70 NA NA NA
## 71 0.000000000 0.000000000 0.000000000
## 72 24524098185.000000000 28971589213.000000000 33111525872.000000000
## 73 124.598140300 124.340298900 124.756188200
## 74 1.007718090 1.065424680 1.067212100
## 75 3.903209925 4.767220020 4.434450150
## 76 0.300876710 0.294080108 0.305011772
## 77 90400474175.000000000 98515977279.000000000 106000000000.000000000
## 78 139.443516700 150.963520900 157.539278200
## 79 28.240999200 37.325054010 39.547800330
## 80 16.143749760 17.999362120 19.082826060
## 81 NA NA NA
## 82 69.840800110 68.557085210 76.324608010
## 83 0.381749507 0.413686320 0.419236125
## 84 2989.675006000 3565.197807000 3863.870402000
## 85 1.027379417 0.698704855 0.419137823
## 86 28.705221690 30.575436400 32.432880030
## 87 NA NA NA
## 88 2610000000000.000000000 3080000000000.000000000 3460000000000.000000000
## 89 4.888189626 4.855673994 4.906474539
## 90 42.115486120 44.642410620 48.447386950
## 91 18.575933660 19.937328370 22.016896600
## 92 NA NA NA
## 93 NA NA NA
## 94 1.176663768 -2.385815315 -4.754252712
## 95 -0.684346954 -3.564329207 -8.300804944
## 96 10.622544970 11.107884010 10.632643860
## 97 88.431122590 78.496706530 77.146851610
## 98 2.179567295 2.281116159 5.633109835
## 99 69.840800110 68.557085210 76.324608010
## 100 0.000000000 0.000000000 0.000000000
## 101 897.403788100 964.897795200 1021.331877000
## 102 2340000000000.000000000 2720000000000.000000000 3010000000000.000000000
## 103 1.482233943 2.566531806 9.613530164
## 104 0.127716277 0.126679955 0.139924952
## 105 NA NA NA
## 106 5.930000000 5.760000000 5.680000000
## 107 4.688307873 6.754081565 NA
## 108 94.205860250 89.404971030 95.331782940
## 109 -0.481931973 7.521029890 5.848710831
## 110 21978879123.000000000 23866727131.000000000 25626474621.000000000
## 111 1.031178468 0.703177494 0.424053405
## 112 2610000000000.000000000 3080000000000.000000000 3460000000000.000000000
## 113 -25.756330040 -29.018033310 -32.816104900
## 114 1.700897728 1.708544543 1.539234028
## 115 0.000000000 0.000000000 0.000000000
## 116 30207725224.000000000 144000000000.000000000 279000000000.000000000
## 117 12.655417770 12.862585890 13.200639630
## 118 23.229324090 22.661093750 25.105547910
## 119 NA NA NA
## 120 NA NA NA
## 121 0.115154262 0.126679955 0.143267775
## 122 0.432213143 0.677439878 0.206157198
## 123 68605.586100000 73765.432730000 78079.759590000
## 124 1700000000000.000000000 1850000000000.000000000 1980000000000.000000000
## 125 33.935908080 36.830221970 40.631745920
## 126 35.305095990 41.880648460 42.603120800
## 127 899.523581000 1048.453755000 1178.525957000
## 128 NA NA NA
## 129 25.517875370 23.699548460 22.334672050
## 130 NA NA NA
## 131 NA NA NA
## 132 31.998809810 31.234983440 31.834993650
## 133 81508795260.000000000 98515977279.000000000 109000000000.000000000
## 134 139.443516700 150.963520900 157.539278200
## 135 8.179578040 7.812188656 7.815641022
## 136 95666.041940000 111358.894500000 123006.289700000
## 137 22015610883.000000000 25614337303.000000000 28848666957.000000000
## 138 96.357141080 87.015244850 85.208387890
## 139 4.289986965 0.767200801 -0.002792772
## 140 NA NA NA
## 141 7.926018483 8.518538323 8.061536277
## 142 14.227110740 16.853808450 20.165791700
## 143 69.657672670 68.416745450 76.168955320
## X2019 X2020 X2021
## 1 14.220000000 11.600000000 NA
## 2 19.229910000 20.069780000 NA
## 3 230000000000.000000000 226000000000.000000000 244000000000.0000000
## 4 99.470000000 99.470000000 NA
## 5 99.630000000 99.630000000 NA
## 6 16.030555140 15.813597110 NA
## 7 15.430000000 12.660000000 NA
## 8 20.200000000 12.100000000 NA
## 9 26.645600000 29.784100000 NA
## 10 18.023810000 18.525150000 NA
## 11 NA NA NA
## 12 19.809060240 15.773649730 NA
## 13 16.909200190 10.512349670 NA
## 14 26.200000000 NA NA
## 15 188000000000.000000000 213000000000.000000000 NA
## 16 26.330000000 26.330000000 NA
## 17 516000000000.000000000 460000000000.000000000 615000000000.0000000
## 18 0.215982700 0.214721900 NA
## 19 0.700000000 NA NA
## 20 24.633623420 34.763024930 NA
## 21 17.923262960 19.169773800 NA
## 22 8442841000.000000000 6619530000.000000000 NA
## 23 137000000000.000000000 118000000000.000000000 NA
## 24 12.970000000 11.450000000 NA
## 25 14.740000000 11.210000000 NA
## 26 46.000000000 NA NA
## 27 237634000.000000000 112370000.000000000 NA
## 28 41.800000000 NA NA
## 29 NA NA NA
## 30 424000000000.000000000 270000000000.000000000 NA
## 31 143000000000.000000000 124000000000.000000000 NA
## 32 14.060000000 12.490000000 NA
## 33 15.990000000 12.290000000 NA
## 34 17.270000000 12.600000000 NA
## 35 73.040000000 18.700000000 NA
## 36 12.570000000 11.170000000 NA
## 37 NA NA NA
## 38 47.464739990 34.458915130 NA
## 39 99.400000000 99.400000000 NA
## 40 4575218471.000000000 3956454691.000000000 5216026828.0000000
## 41 27.660000000 13.290000000 NA
## 42 13.550000000 12.190000000 NA
## 43 NA NA NA
## 44 21.062203600 27.239470110 NA
## 45 377.000000000 NA NA
## 46 764000000000.000000000 613000000000.000000000 NA
## 47 32.880000000 32.880000000 NA
## 48 24.120000000 24.120000000 NA
## 49 1.369142000 1.472031000 NA
## 50 0.000000000 0.000000000 NA
## 51 15.000000000 NA NA
## 52 0.031086925 0.018319488 NA
## 53 0.944350687 0.845612140 NA
## 54 38.927998740 32.039557240 56.7722900
## 55 30605291409.000000000 29880062111.000000000 31149050463.0000000
## 56 0.002196459 0.001886447 NA
## 57 3952.760349000 3789.150372000 3878.4444200
## 58 0.000000000 0.000000000 NA
## 59 2340000000000.000000000 2280000000000.000000000 2380000000000.0000000
## 60 4.691155935 3.217402330 5.5119715
## 61 52.022716260 53.938846740 52.5839519
## 62 NA NA NA
## 63 24.116362860 24.250237970 NA
## 64 6947.961423000 7221.739239000 7132.7791940
## 65 NA NA NA
## 66 15.303407290 5.719357472 7.7080623
## 67 6.657055428 -2.369620627 4.2469401
## 68 4.691155935 3.217402330 5.5119715
## 69 4.445150850 NA NA
## 70 NA NA NA
## 71 0.000000000 0.000000000 NA
## 72 34186190996.000000000 33433670512.000000000 36288830373.0000000
## 73 126.075333600 124.720924000 128.0741502
## 74 1.102808710 NA NA
## 75 4.239999771 4.389999866 NA
## 76 0.290067383 0.287107335 0.2870042
## 77 113000000000.000000000 110000000000.000000000 115000000000.0000000
## 78 164.929691400 170.236143200 179.6195108
## 79 41.378740910 30.440281510 35.7822125
## 80 19.809060240 15.773649730 NA
## 81 NA NA NA
## 82 78.945910900 88.440039470 NA
## 83 NA NA NA
## 84 4119.584979000 3996.665470000 4260.8396940
## 85 0.440770893 0.512156620 NA
## 86 33.815125680 30.469220520 29.8519298
## 87 NA NA NA
## 88 3860000000000.000000000 3890000000000.000000000 4280000000000.0000000
## 89 4.981441388 4.474854392 4.6655983
## 90 49.249526590 40.918865590 43.8112282
## 91 22.401347910 19.365426670 NA
## 92 NA NA NA
## 93 NA NA NA
## 94 -4.793705761 -4.896852861 NA
## 95 -5.129629145 -0.251653458 -14.8229695
## 96 9.750191340 5.918168268 6.3694548
## 97 76.579497500 85.212910460 83.8927182
## 98 4.002321623 8.045683808 NA
## 99 78.945910900 88.440039470 NA
## 100 0.000000000 0.000000000 NA
## 101 1069.789098000 1025.509112000 1049.6759710
## 102 3340000000000.000000000 3430000000000.000000000 3660000000000.0000000
## 103 9.632236558 13.678851060 NA
## 104 0.114122286 NA NA
## 105 NA NA NA
## 106 5.230000000 NA NA
## 107 NA NA NA
## 108 97.169877780 117.749455500 NA
## 109 4.744512715 -4.139132233 2.3565718
## 110 27262952301.000000000 26602290156.000000000 27621363368.0000000
## 111 0.442967352 0.514043068 NA
## 112 3860000000000.000000000 3890000000000.000000000 4280000000000.0000000
## 113 -33.689653640 -27.308285940 -33.3927673
## 114 1.376595177 1.363585634 NA
## 115 0.000000000 0.000000000 NA
## 116 294000000000.000000000 101000000000.000000000 227000000000.0000000
## 117 13.010675410 12.047319930 11.7225156
## 118 28.065464890 25.150491920 23.5235500
## 119 NA NA NA
## 120 NA NA NA
## 121 0.118938770 NA NA
## 122 0.542801816 0.378738964 NA
## 123 81784.263710000 78399.104890000 80246.6360800
## 124 2110000000000.000000000 2060000000000.000000000 2140000000000.0000000
## 125 41.469590110 34.113575770 38.6019978
## 126 42.187508260 32.819757470 32.6238376
## 127 1194.957236000 1147.471971000 1222.8787940
## 128 NA NA NA
## 129 21.583372760 22.180090190 21.3198898
## 130 NA NA NA
## 131 NA NA NA
## 132 32.742748230 33.393741220 33.8286877
## 133 118000000000.000000000 116000000000.000000000 126000000000.0000000
## 134 164.929691400 170.236143200 179.6195108
## 135 7.779936474 6.805289826 5.2092304
## 136 134886.533800000 133463.612400000 144138.6152000
## 137 29610972525.000000000 29477215821.000000000 31072803545.0000000
## 138 84.696592710 94.280642530 92.2919377
## 139 -0.864102849 3.152060198 NA
## 140 NA NA NA
## 141 8.117095211 9.067732071 8.3992194
## 142 21.701865280 20.164782930 NA
## 143 78.845345330 88.340280580 NAdim(nepal_df)## [1] 143 66temp_df = filter(nepal_dt, grepl("employment", tolower(IndicatorName), fixed = TRUE) | grepl("employment", tolower(IndicatorCode), fixed = TRUE))
nepal_df <- rbind(nepal_df, temp_df)
nepal_df## CountryName CountryCode
## 1 Nepal NPL
## 2 Nepal NPL
## 3 Nepal NPL
## 4 Nepal NPL
## 5 Nepal NPL
## 6 Nepal NPL
## 7 Nepal NPL
## 8 Nepal NPL
## 9 Nepal NPL
## 10 Nepal NPL
## 11 Nepal NPL
## 12 Nepal NPL
## 13 Nepal NPL
## 14 Nepal NPL
## 15 Nepal NPL
## 16 Nepal NPL
## 17 Nepal NPL
## 18 Nepal NPL
## 19 Nepal NPL
## 20 Nepal NPL
## 21 Nepal NPL
## 22 Nepal NPL
## 23 Nepal NPL
## 24 Nepal NPL
## 25 Nepal NPL
## 26 Nepal NPL
## 27 Nepal NPL
## 28 Nepal NPL
## 29 Nepal NPL
## 30 Nepal NPL
## 31 Nepal NPL
## 32 Nepal NPL
## 33 Nepal NPL
## 34 Nepal NPL
## 35 Nepal NPL
## 36 Nepal NPL
## 37 Nepal NPL
## 38 Nepal NPL
## 39 Nepal NPL
## 40 Nepal NPL
## 41 Nepal NPL
## 42 Nepal NPL
## 43 Nepal NPL
## 44 Nepal NPL
## 45 Nepal NPL
## 46 Nepal NPL
## 47 Nepal NPL
## 48 Nepal NPL
## 49 Nepal NPL
## 50 Nepal NPL
## 51 Nepal NPL
## 52 Nepal NPL
## 53 Nepal NPL
## 54 Nepal NPL
## 55 Nepal NPL
## 56 Nepal NPL
## 57 Nepal NPL
## 58 Nepal NPL
## 59 Nepal NPL
## 60 Nepal NPL
## 61 Nepal NPL
## 62 Nepal NPL
## 63 Nepal NPL
## 64 Nepal NPL
## 65 Nepal NPL
## 66 Nepal NPL
## 67 Nepal NPL
## 68 Nepal NPL
## 69 Nepal NPL
## 70 Nepal NPL
## 71 Nepal NPL
## 72 Nepal NPL
## 73 Nepal NPL
## 74 Nepal NPL
## 75 Nepal NPL
## 76 Nepal NPL
## 77 Nepal NPL
## 78 Nepal NPL
## 79 Nepal NPL
## 80 Nepal NPL
## 81 Nepal NPL
## 82 Nepal NPL
## 83 Nepal NPL
## 84 Nepal NPL
## 85 Nepal NPL
## 86 Nepal NPL
## 87 Nepal NPL
## 88 Nepal NPL
## 89 Nepal NPL
## 90 Nepal NPL
## 91 Nepal NPL
## 92 Nepal NPL
## 93 Nepal NPL
## 94 Nepal NPL
## 95 Nepal NPL
## 96 Nepal NPL
## 97 Nepal NPL
## 98 Nepal NPL
## 99 Nepal NPL
## 100 Nepal NPL
## 101 Nepal NPL
## 102 Nepal NPL
## 103 Nepal NPL
## 104 Nepal NPL
## 105 Nepal NPL
## 106 Nepal NPL
## 107 Nepal NPL
## 108 Nepal NPL
## 109 Nepal NPL
## 110 Nepal NPL
## 111 Nepal NPL
## 112 Nepal NPL
## 113 Nepal NPL
## 114 Nepal NPL
## 115 Nepal NPL
## 116 Nepal NPL
## 117 Nepal NPL
## 118 Nepal NPL
## 119 Nepal NPL
## 120 Nepal NPL
## 121 Nepal NPL
## 122 Nepal NPL
## 123 Nepal NPL
## 124 Nepal NPL
## 125 Nepal NPL
## 126 Nepal NPL
## 127 Nepal NPL
## 128 Nepal NPL
## 129 Nepal NPL
## 130 Nepal NPL
## 131 Nepal NPL
## 132 Nepal NPL
## 133 Nepal NPL
## 134 Nepal NPL
## 135 Nepal NPL
## 136 Nepal NPL
## 137 Nepal NPL
## 138 Nepal NPL
## 139 Nepal NPL
## 140 Nepal NPL
## 141 Nepal NPL
## 142 Nepal NPL
## 143 Nepal NPL
## 144 Nepal NPL
## 145 Nepal NPL
## 146 Nepal NPL
## 147 Nepal NPL
## 148 Nepal NPL
## 149 Nepal NPL
## 150 Nepal NPL
## 151 Nepal NPL
## 152 Nepal NPL
## 153 Nepal NPL
## 154 Nepal NPL
## 155 Nepal NPL
## 156 Nepal NPL
## 157 Nepal NPL
## 158 Nepal NPL
## 159 Nepal NPL
## 160 Nepal NPL
## 161 Nepal NPL
## 162 Nepal NPL
## 163 Nepal NPL
## 164 Nepal NPL
## 165 Nepal NPL
## 166 Nepal NPL
## 167 Nepal NPL
## 168 Nepal NPL
## 169 Nepal NPL
## 170 Nepal NPL
## 171 Nepal NPL
## 172 Nepal NPL
## 173 Nepal NPL
## 174 Nepal NPL
## 175 Nepal NPL
## 176 Nepal NPL
## 177 Nepal NPL
## 178 Nepal NPL
## 179 Nepal NPL
## 180 Nepal NPL
## 181 Nepal NPL
## 182 Nepal NPL
## 183 Nepal NPL
## 184 Nepal NPL
## 185 Nepal NPL
## 186 Nepal NPL
## 187 Nepal NPL
## 188 Nepal NPL
## 189 Nepal NPL
## 190 Nepal NPL
## 191 Nepal NPL
## 192 Nepal NPL
## 193 Nepal NPL
## 194 Nepal NPL
## 195 Nepal NPL
## 196 Nepal NPL
## 197 Nepal NPL
## 198 Nepal NPL
## 199 Nepal NPL
## 200 Nepal NPL
## 201 Nepal NPL
## 202 Nepal NPL
## 203 Nepal NPL
## 204 Nepal NPL
## 205 Nepal NPL
## 206 Nepal NPL
## 207 Nepal NPL
## 208 Nepal NPL
## 209 Nepal NPL
## 210 Nepal NPL
## 211 Nepal NPL
## 212 Nepal NPL
## 213 Nepal NPL
## 214 Nepal NPL
## 215 Nepal NPL
## 216 Nepal NPL
## 217 Nepal NPL
## 218 Nepal NPL
## 219 Nepal NPL
## 220 Nepal NPL
## 221 Nepal NPL
## 222 Nepal NPL
## 223 Nepal NPL
## 224 Nepal NPL
## 225 Nepal NPL
## 226 Nepal NPL
## 227 Nepal NPL
## 228 Nepal NPL
## 229 Nepal NPL
## 230 Nepal NPL
## 231 Nepal NPL
## 232 Nepal NPL
## 233 Nepal NPL
## 234 Nepal NPL
## 235 Nepal NPL
## 236 Nepal NPL
## 237 Nepal NPL
## 238 Nepal NPL
## 239 Nepal NPL
## 240 Nepal NPL
## 241 Nepal NPL
## 242 Nepal NPL
## IndicatorName
## 1 Tariff rate, applied, weighted mean, all products (%)
## 2 Share of tariff lines with international peaks, all products (%)
## 3 Taxes less subsidies on products (constant LCU)
## 4 Binding coverage, primary products (%)
## 5 Binding coverage, manufactured products (%)
## 6 Taxes on international trade (% of revenue)
## 7 Tariff rate, most favored nation, weighted mean, all products (%)
## 8 Tariff rate, applied, simple mean, all products (%)
## 9 Share of tariff lines with international peaks, primary products (%)
## 10 Share of tariff lines with international peaks, manufactured products (%)
## 11 Firms expected to give gifts in meetings with tax officials (% of firms)
## 12 Tax revenue (% of GDP)
## 13 Taxes on goods and services (% value added of industry and services)
## 14 Labor tax and contributions (% of commercial profits)
## 15 Taxes on income, profits and capital gains (current LCU)
## 16 Bound rate, simple mean, all products (%)
## 17 Taxes less subsidies on products (current LCU)
## 18 Share of tariff lines with specific rates, all products (%)
## 19 Other taxes payable by businesses (% of commercial profits)
## 20 Taxes on income, profits and capital gains (% of total taxes)
## 21 Customs and other import duties (% of tax revenue)
## 22 Other taxes (current LCU)
## 23 Customs and other import duties (current LCU)
## 24 Tariff rate, applied, weighted mean, primary products (%)
## 25 Tariff rate, applied, weighted mean, manufactured products (%)
## 26 Tax payments (number)
## 27 Taxes on exports (current LCU)
## 28 Total tax and contribution rate (% of profit)
## 29 Firms that do not report all sales for tax purposes (% of firms)
## 30 Taxes on goods and services (current LCU)
## 31 Taxes on international trade (current LCU)
## 32 Tariff rate, most favored nation, weighted mean, primary products (%)
## 33 Tariff rate, most favored nation, weighted mean, manufactured products (%)
## 34 Tariff rate, most favored nation, simple mean, all products (%)
## 35 Tariff rate, applied, simple mean, primary products (%)
## 36 Tariff rate, applied, simple mean, manufactured products (%)
## 37 Firms visited or required meetings with tax officials (% of firms)
## 38 Taxes on goods and services (% of revenue)
## 39 Binding coverage, all products (%)
## 40 Taxes less subsidies on products (current US$)
## 41 Tariff rate, most favored nation, simple mean, primary products (%)
## 42 Tariff rate, most favored nation, simple mean, manufactured products (%)
## 43 Number of visits or required meetings with tax officials (average for affected firms)
## 44 Taxes on income, profits and capital gains (% of revenue)
## 45 Time to prepare and pay taxes (hours)
## 46 Tax revenue (current LCU)
## 47 Bound rate, simple mean, primary products (%)
## 48 Bound rate, simple mean, manufactured products (%)
## 49 Share of tariff lines with specific rates, primary products (%)
## 50 Share of tariff lines with specific rates, manufactured products (%)
## 51 Profit tax (% of commercial profits)
## 52 Taxes on exports (% of tax revenue)
## 53 Other taxes (% of revenue)
## 54 Merchandise trade (% of GDP)
## 55 GDP (constant 2015 US$)
## 56 Coal rents (% of GDP)
## 57 GDP per capita, PPP (constant 2017 international $)
## 58 Mineral rents (% of GDP)
## 59 GDP (constant LCU)
## 60 Inflation, GDP deflator: linked series (annual %)
## 61 Services, value added (% of GDP)
## 62 Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)
## 63 Personal remittances, received (% of GDP)
## 64 GDP per person employed (constant 2017 PPP $)
## 65 Government expenditure per student, tertiary (% of GDP per capita)
## 66 Gross domestic savings (% of GDP)
## 67 GDP growth (annual %)
## 68 Inflation, GDP deflator (annual %)
## 69 Current health expenditure (% of GDP)
## 70 Government expenditure per student, primary (% of GDP per capita)
## 71 Oil rents (% of GDP)
## 72 GDP (current US$)
## 73 Gross national expenditure (% of GDP)
## 74 Domestic general government health expenditure (% of GDP)
## 75 Government expenditure on education, total (% of GDP)
## 76 Price level ratio of PPP conversion factor (GDP) to market exchange rate
## 77 GDP, PPP (constant 2017 international $)
## 78 GDP deflator: linked series (base year varies by country)
## 79 Gross capital formation (% of GDP)
## 80 Tax revenue (% of GDP)
## 81 Domestic credit provided by financial sector (% of GDP)
## 82 Monetary Sector credit to private sector (% GDP)
## 83 CO2 emissions (kg per 2015 US$ of GDP)
## 84 GDP per capita, PPP (current international $)
## 85 Forest rents (% of GDP)
## 86 Gross fixed capital formation (% of GDP)
## 87 Government expenditure per student, secondary (% of GDP per capita)
## 88 GDP: linked series (current LCU)
## 89 Manufacturing, value added (% of GDP)
## 90 Trade (% of GDP)
## 91 Revenue, excluding grants (% of GDP)
## 92 Research and development expenditure (% of GDP)
## 93 Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)
## 94 Net lending (+) / net borrowing (-) (% of GDP)
## 95 Current account balance (% of GDP)
## 96 Trade in services (% of GDP)
## 97 Households and NPISHs final consumption expenditure (% of GDP)
## 98 Net incurrence of liabilities, total (% of GDP)
## 99 Domestic credit to private sector (% of GDP)
## 100 Foreign direct investment, net outflows (% of GDP)
## 101 GDP per capita (constant 2015 US$)
## 102 Gross value added at basic prices (GVA) (current LCU)
## 103 Claims on central government, etc. (% GDP)
## 104 CO2 emissions (kg per PPP $ of GDP)
## 105 GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)
## 106 Energy intensity level of primary energy (MJ/$2017 PPP GDP)
## 107 Net investment in nonfinancial assets (% of GDP)
## 108 Broad money (% of GDP)
## 109 GDP per capita growth (annual %)
## 110 Gross value added at basic prices (GVA) (constant 2015 US$)
## 111 Total natural resources rents (% of GDP)
## 112 GDP (current LCU)
## 113 External balance on goods and services (% of GDP)
## 114 Military expenditure (% of GDP)
## 115 Natural gas rents (% of GDP)
## 116 Discrepancy in expenditure estimate of GDP (current LCU)
## 117 Industry (including construction), value added (% of GDP)
## 118 Gross fixed capital formation, private sector (% of GDP)
## 119 Central government debt, total (% of GDP)
## 120 Claims on other sectors of the domestic economy (% of GDP)
## 121 CO2 emissions (kg per 2017 PPP $ of GDP)
## 122 Foreign direct investment, net inflows (% of GDP)
## 123 GDP per capita (constant LCU)
## 124 Gross value added at basic prices (GVA) (constant LCU)
## 125 Imports of goods and services (% of GDP)
## 126 Gross savings (% of GDP)
## 127 GDP per capita (current US$)
## 128 Discrepancy in expenditure estimate of GDP (constant LCU)
## 129 Agriculture, forestry, and fishing, value added (% of GDP)
## 130 Stocks traded, total value (% of GDP)
## 131 Market capitalization of listed domestic companies (% of GDP)
## 132 PPP conversion factor, GDP (LCU per international $)
## 133 GDP, PPP (current international $)
## 134 GDP deflator (base year varies by country)
## 135 Exports of goods and services (% of GDP)
## 136 GDP per capita (current LCU)
## 137 Gross value added at basic prices (GVA) (current US$)
## 138 Final consumption expenditure (% of GDP)
## 139 Net acquisition of financial assets (% of GDP)
## 140 GDP per unit of energy use (PPP $ per kg of oil equivalent)
## 141 General government final consumption expenditure (% of GDP)
## 142 Expense (% of GDP)
## 143 Domestic credit to private sector by banks (% of GDP)
## 144 Share of youth not in education, employment or training, total (% of youth population)
## 145 Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
## 146 Employment in services (% of total employment) (modeled ILO estimate)
## 147 Contributing family workers, total (% of total employment) (modeled ILO estimate)
## 148 Employment to population ratio, 15+, female (%) (modeled ILO estimate)
## 149 Employment in agriculture, male (% of male employment) (modeled ILO estimate)
## 150 Coverage of unemployment benefits and ALMP in richest quintile (% of population)
## 151 Unemployment with intermediate education, male (% of male labor force with intermediate education)
## 152 Part time employment, total (% of total employment)
## 153 Children in employment, work only, male (% of male children in employment, ages 7-14)
## 154 Child employment in services, male (% of male economically active children ages 7-14)
## 155 Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14)
## 156 Self-employed, male (% of male employment) (modeled ILO estimate)
## 157 Child employment in agriculture, female (% of female economically active children ages 7-14)
## 158 Coverage of unemployment benefits and ALMP in poorest quintile (% of population)
## 159 Unemployment, female (% of female labor force) (modeled ILO estimate)
## 160 Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)
## 161 Children in employment, male (% of male children ages 7-14)
## 162 Employment in industry, female (% of female employment) (modeled ILO estimate)
## 163 Employment to population ratio, 15+, male (%) (modeled ILO estimate)
## 164 Employment to population ratio, ages 15-24, female (%) (national estimate)
## 165 Unemployment, female (% of female labor force) (national estimate)
## 166 Unemployment, youth male (% of male labor force ages 15-24) (national estimate)
## 167 Children in employment, female (% of female children ages 7-14)
## 168 Employment to population ratio, 15+, male (%) (national estimate)
## 169 Employment in agriculture (% of total employment) (modeled ILO estimate)
## 170 Unemployment with intermediate education (% of total labor force with intermediate education)
## 171 Child employment in services (% of economically active children ages 7-14)
## 172 Children in employment, unpaid family workers (% of children in employment, ages 7-14)
## 173 Self-employed, total (% of total employment) (modeled ILO estimate)
## 174 Child employment in agriculture, male (% of male economically active children ages 7-14)
## 175 Coverage of unemployment benefits and ALMP in 2nd quintile (% of population)
## 176 Unemployment, male (% of male labor force) (modeled ILO estimate)
## 177 Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)
## 178 Children in employment, study and work, female (% of female children in employment, ages 7-14)
## 179 Employment in industry (% of total employment) (modeled ILO estimate)
## 180 Employment to population ratio, 15+, total (%) (modeled ILO estimate)
## 181 Employment to population ratio, ages 15-24, male (%) (national estimate)
## 182 Unemployment with intermediate education, female (% of female labor force with intermediate education)
## 183 Part time employment, male (% of total male employment)
## 184 Child employment in services, female (% of female economically active children ages 7-14)
## 185 Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14)
## 186 Self-employed, female (% of female employment) (modeled ILO estimate)
## 187 Coverage of unemployment benefits and ALMP (% of population)
## 188 Share of youth not in education, employment or training, male (% of male youth population)
## 189 Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
## 190 Children in employment, total (% of children ages 7-14)
## 191 Employment in services, male (% of male employment) (modeled ILO estimate)
## 192 Contributing family workers, male (% of male employment) (modeled ILO estimate)
## 193 Employment to population ratio, 15+, female (%) (national estimate)
## 194 Employment in agriculture, female (% of female employment) (modeled ILO estimate)
## 195 Coverage of unemployment benefits and ALMP in 4th quintile (% of population)
## 196 Children in employment, wage workers, male (% of male children in employment, ages 7-14)
## 197 Unemployment with basic education, female (% of female labor force with basic education)
## 198 Children in employment, study and work (% of children in employment, ages 7-14)
## 199 Children in employment, self-employed, female (% of female children in employment, ages 7-14)
## 200 Wage and salaried workers, female (% of female employment) (modeled ILO estimate)
## 201 Employers, female (% of female employment) (modeled ILO estimate)
## 202 Children in employment, wage workers (% of children in employment, ages 7-14)
## 203 Unemployment with basic education, male (% of male labor force with basic education)
## 204 Children in employment, self-employed, male (% of male children in employment, ages 7-14)
## 205 Wage and salaried workers, male (% of male employment) (modeled ILO estimate)
## 206 Employers, male (% of male employment) (modeled ILO estimate)
## 207 Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households)
## 208 Share of youth not in education, employment or training, female (% of female youth population)
## 209 Children in employment, work only (% of children in employment, ages 7-14)
## 210 Employment in services, female (% of female employment) (modeled ILO estimate)
## 211 Contributing family workers, female (% of female employment) (modeled ILO estimate)
## 212 Female share of employment in senior and middle management (%)
## 213 Child employment in agriculture (% of economically active children ages 7-14)
## 214 Coverage of unemployment benefits and ALMP in 3rd quintile (% of population)
## 215 Unemployment, total (% of total labor force) (national estimate)
## 216 Unemployment with advanced education, female (% of female labor force with advanced education)
## 217 Child employment in manufacturing, female (% of female economically active children ages 7-14)
## 218 Vulnerable employment, female (% of female employment) (modeled ILO estimate)
## 219 Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)
## 220 Unemployment with basic education (% of total labor force with basic education)
## 221 Part time employment, female (% of total female employment)
## 222 Children in employment, work only, female (% of female children in employment, ages 7-14)
## 223 Children in employment, self-employed (% of children in employment, ages 7-14)
## 224 Wage and salaried workers, total (% of total employment) (modeled ILO estimate)
## 225 Employers, total (% of total employment) (modeled ILO estimate)
## 226 Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)
## 227 Unemployment, total (% of total labor force) (modeled ILO estimate)
## 228 Unemployment with advanced education, male (% of male labor force with advanced education)
## 229 Children in employment, study and work, male (% of male children in employment, ages 7-14)
## 230 Child employment in manufacturing, male (% of male economically active children ages 7-14)
## 231 Vulnerable employment, male (% of male employment) (modeled ILO estimate)
## 232 Employment to population ratio, ages 15-24, total (%) (national estimate)
## 233 Unemployment, male (% of male labor force) (national estimate)
## 234 Unemployment, youth total (% of total labor force ages 15-24) (national estimate)
## 235 Employment in industry, male (% of male employment) (modeled ILO estimate)
## 236 Employment to population ratio, 15+, total (%) (national estimate)
## 237 Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)
## 238 Children in employment, wage workers, female (% of female children in employment, ages 7-14)
## 239 Unemployment with advanced education (% of total labor force with advanced education)
## 240 Child employment in manufacturing (% of economically active children ages 7-14)
## 241 Vulnerable employment, total (% of total employment) (modeled ILO estimate)
## 242 Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)
## IndicatorCode X1960 X1961
## 1 TM.TAX.MRCH.WM.AR.ZS NA NA
## 2 TM.TAX.MRCH.IP.ZS NA NA
## 3 NY.TAX.NIND.KN NA NA
## 4 TM.TAX.TCOM.BC.ZS NA NA
## 5 TM.TAX.MANF.BC.ZS NA NA
## 6 GC.TAX.INTT.RV.ZS NA NA
## 7 TM.TAX.MRCH.WM.FN.ZS NA NA
## 8 TM.TAX.MRCH.SM.AR.ZS NA NA
## 9 TM.TAX.TCOM.IP.ZS NA NA
## 10 TM.TAX.MANF.IP.ZS NA NA
## 11 IC.TAX.GIFT.ZS NA NA
## 12 GC.TAX.TOTL.GD.ZS NA NA
## 13 GC.TAX.GSRV.VA.ZS NA NA
## 14 IC.TAX.LABR.CP.ZS NA NA
## 15 GC.TAX.YPKG.CN NA NA
## 16 TM.TAX.MRCH.BR.ZS NA NA
## 17 NY.TAX.NIND.CN 54000000.000000000 56000000.0000000
## 18 TM.TAX.MRCH.SR.ZS NA NA
## 19 IC.TAX.OTHR.CP.ZS NA NA
## 20 GC.TAX.YPKG.ZS NA NA
## 21 GC.TAX.IMPT.ZS NA NA
## 22 GC.TAX.OTHR.CN NA NA
## 23 GC.TAX.IMPT.CN NA NA
## 24 TM.TAX.TCOM.WM.AR.ZS NA NA
## 25 TM.TAX.MANF.WM.AR.ZS NA NA
## 26 IC.TAX.PAYM NA NA
## 27 GC.TAX.EXPT.CN NA NA
## 28 IC.TAX.TOTL.CP.ZS NA NA
## 29 IC.FRM.INFM.ZS NA NA
## 30 GC.TAX.GSRV.CN NA NA
## 31 GC.TAX.INTT.CN NA NA
## 32 TM.TAX.TCOM.WM.FN.ZS NA NA
## 33 TM.TAX.MANF.WM.FN.ZS NA NA
## 34 TM.TAX.MRCH.SM.FN.ZS NA NA
## 35 TM.TAX.TCOM.SM.AR.ZS NA NA
## 36 TM.TAX.MANF.SM.AR.ZS NA NA
## 37 IC.FRM.METG.ZS NA NA
## 38 GC.TAX.GSRV.RV.ZS NA NA
## 39 TM.TAX.MRCH.BC.ZS NA NA
## 40 NY.TAX.NIND.CD 7087544.297000000 7350045.9380000
## 41 TM.TAX.TCOM.SM.FN.ZS NA NA
## 42 TM.TAX.MANF.SM.FN.ZS NA NA
## 43 IC.TAX.METG NA NA
## 44 GC.TAX.YPKG.RV.ZS NA NA
## 45 IC.TAX.DURS NA NA
## 46 GC.TAX.TOTL.CN NA NA
## 47 TM.TAX.TCOM.BR.ZS NA NA
## 48 TM.TAX.MANF.BR.ZS NA NA
## 49 TM.TAX.TCOM.SR.ZS NA NA
## 50 TM.TAX.MANF.SR.ZS NA NA
## 51 IC.TAX.PRFT.CP.ZS NA NA
## 52 GC.TAX.EXPT.ZS NA NA
## 53 GC.TAX.OTHR.RV.ZS NA NA
## 54 TG.VAL.TOTL.GD.ZS 10.819649130 4.8875896
## 55 NY.GDP.MKTP.KD 3312006963.000000000 3375208865.0000000
## 56 NY.GDP.COAL.RT.ZS NA NA
## 57 NY.GDP.PCAP.PP.KD NA NA
## 58 NY.GDP.MINR.RT.ZS NA NA
## 59 NY.GDP.MKTP.KN 253000000000.000000000 258000000000.0000000
## 60 NY.GDP.DEFL.KD.ZG.AD NA NA
## 61 NV.SRV.TOTL.ZS 98.605729370 98.6183074
## 62 ER.GDP.FWTL.M3.KD NA NA
## 63 BX.TRF.PWKR.DT.GD.ZS NA NA
## 64 SL.GDP.PCAP.EM.KD NA NA
## 65 SE.XPD.TERT.PC.ZS NA NA
## 66 NY.GDS.TOTL.ZS NA NA
## 67 NY.GDP.MKTP.KD.ZG NA 1.9082660
## 68 NY.GDP.DEFL.KD.ZG NA 2.6880000
## 69 SH.XPD.CHEX.GD.ZS NA NA
## 70 SE.XPD.PRIM.PC.ZS NA NA
## 71 NY.GDP.PETR.RT.ZS NA NA
## 72 NY.GDP.MKTP.CD 508334414.000000000 531959561.6000000
## 73 NE.DAB.TOTL.ZS NA NA
## 74 SH.XPD.GHED.GD.ZS NA NA
## 75 SE.XPD.TOTL.GD.ZS NA NA
## 76 PA.NUS.PPPC.RF NA NA
## 77 NY.GDP.MKTP.PP.KD NA NA
## 78 NY.GDP.DEFL.ZS.AD NA NA
## 79 NE.GDI.TOTL.ZS NA NA
## 80 GC.TAX.TOTL.GD.ZS NA NA
## 81 FS.AST.DOMS.GD.ZS NA NA
## 82 FM.AST.PRVT.GD.ZS 1.045701034 1.2262522
## 83 EN.ATM.CO2E.KD.GD NA NA
## 84 NY.GDP.PCAP.PP.CD NA NA
## 85 NY.GDP.FRST.RT.ZS NA NA
## 86 NE.GDI.FTOT.ZS NA NA
## 87 SE.XPD.SECO.PC.ZS NA NA
## 88 NY.GDP.MKTP.CN.AD NA NA
## 89 NV.IND.MANF.ZS NA NA
## 90 NE.TRD.GNFS.ZS NA NA
## 91 GC.REV.XGRT.GD.ZS NA NA
## 92 GB.XPD.RSDV.GD.ZS NA NA
## 93 EG.USE.COMM.GD.PP.KD NA NA
## 94 GC.NLD.TOTL.GD.ZS NA NA
## 95 BN.CAB.XOKA.GD.ZS NA NA
## 96 BG.GSR.NFSV.GD.ZS NA NA
## 97 NE.CON.PRVT.ZS NA NA
## 98 GC.LBL.TOTL.GD.ZS NA NA
## 99 FS.AST.PRVT.GD.ZS 1.045701034 1.2262522
## 100 BM.KLT.DINV.WD.GD.ZS NA NA
## 101 NY.GDP.PCAP.KD 327.757278300 328.7351119
## 102 NY.GDP.FCST.CN 3818999800.000000000 3996999900.0000000
## 103 FS.AST.CGOV.GD.ZS 0.002581978 -0.1579077
## 104 EN.ATM.CO2E.PP.GD NA NA
## 105 EG.GDP.PUSE.KO.PP.KD NA NA
## 106 EG.EGY.PRIM.PP.KD NA NA
## 107 GC.NFN.TOTL.GD.ZS NA NA
## 108 FM.LBL.BMNY.GD.ZS 5.411825598 6.3237110
## 109 NY.GDP.PCAP.KD.ZG NA 0.2983408
## 110 NY.GDP.FCST.KD NA NA
## 111 NY.GDP.TOTL.RT.ZS NA NA
## 112 NY.GDP.MKTP.CN 3872999900.000000000 4052999900.0000000
## 113 NE.RSB.GNFS.ZS NA NA
## 114 MS.MIL.XPND.GD.ZS NA NA
## 115 NY.GDP.NGAS.RT.ZS NA NA
## 116 NY.GDP.DISC.CN NA NA
## 117 NV.IND.TOTL.ZS NA NA
## 118 NE.GDI.FPRV.ZS NA NA
## 119 GC.DOD.TOTL.GD.ZS NA NA
## 120 FS.AST.DOMO.GD.ZS NA NA
## 121 EN.ATM.CO2E.PP.GD.KD NA NA
## 122 BX.KLT.DINV.WD.GD.ZS NA NA
## 123 NY.GDP.PCAP.KN 25056.702990000 25131.4573400
## 124 NY.GDP.FCST.KN NA NA
## 125 NE.IMP.GNFS.ZS NA NA
## 126 NY.GNS.ICTR.ZS NA NA
## 127 NY.GDP.PCAP.CD 50.304937720 51.8112487
## 128 NY.GDP.DISC.KN NA NA
## 129 NV.AGR.TOTL.ZS NA NA
## 130 CM.MKT.TRAD.GD.ZS NA NA
## 131 CM.MKT.LCAP.GD.ZS NA NA
## 132 PA.NUS.PPP NA NA
## 133 NY.GDP.MKTP.PP.CD NA NA
## 134 NY.GDP.DEFL.ZS 1.529623912 1.5707402
## 135 NE.EXP.GNFS.ZS NA NA
## 136 NY.GDP.PCAP.CN 383.273320500 394.7499041
## 137 NY.GDP.FCST.CD 501246856.500000000 524609515.7000000
## 138 NE.CON.TOTL.ZS NA NA
## 139 GC.AST.TOTL.GD.ZS NA NA
## 140 EG.GDP.PUSE.KO.PP NA NA
## 141 NE.CON.GOVT.ZS NA NA
## 142 GC.XPN.TOTL.GD.ZS NA NA
## 143 FD.AST.PRVT.GD.ZS 1.040537078 1.2139156
## 144 SL.UEM.NEET.ZS NA NA
## 145 SL.UEM.1524.FE.ZS NA NA
## 146 SL.SRV.EMPL.ZS NA NA
## 147 SL.FAM.WORK.ZS NA NA
## 148 SL.EMP.TOTL.SP.FE.ZS NA NA
## 149 SL.AGR.EMPL.MA.ZS NA NA
## 150 per_lm_alllm.cov_q5_tot NA NA
## 151 SL.UEM.INTM.MA.ZS NA NA
## 152 SL.TLF.PART.ZS NA NA
## 153 SL.TLF.0714.WK.MA.ZS NA NA
## 154 SL.SRV.0714.MA.ZS NA NA
## 155 SL.FAM.0714.MA.ZS NA NA
## 156 SL.EMP.SELF.MA.ZS NA NA
## 157 SL.AGR.0714.FE.ZS NA NA
## 158 per_lm_alllm.cov_q1_tot NA NA
## 159 SL.UEM.TOTL.FE.ZS NA NA
## 160 SL.UEM.1524.MA.ZS NA NA
## 161 SL.TLF.0714.MA.ZS NA NA
## 162 SL.IND.EMPL.FE.ZS NA NA
## 163 SL.EMP.TOTL.SP.MA.ZS NA NA
## 164 SL.EMP.1524.SP.FE.NE.ZS NA NA
## 165 SL.UEM.TOTL.FE.NE.ZS NA NA
## 166 SL.UEM.1524.MA.NE.ZS NA NA
## 167 SL.TLF.0714.FE.ZS NA NA
## 168 SL.EMP.TOTL.SP.MA.NE.ZS NA NA
## 169 SL.AGR.EMPL.ZS NA NA
## 170 SL.UEM.INTM.ZS NA NA
## 171 SL.SRV.0714.ZS NA NA
## 172 SL.FAM.0714.ZS NA NA
## 173 SL.EMP.SELF.ZS NA NA
## 174 SL.AGR.0714.MA.ZS NA NA
## 175 per_lm_alllm.cov_q2_tot NA NA
## 176 SL.UEM.TOTL.MA.ZS NA NA
## 177 SL.UEM.1524.ZS NA NA
## 178 SL.TLF.0714.SW.FE.ZS NA NA
## 179 SL.IND.EMPL.ZS NA NA
## 180 SL.EMP.TOTL.SP.ZS NA NA
## 181 SL.EMP.1524.SP.MA.NE.ZS NA NA
## 182 SL.UEM.INTM.FE.ZS NA NA
## 183 SL.TLF.PART.MA.ZS NA NA
## 184 SL.SRV.0714.FE.ZS NA NA
## 185 SL.FAM.0714.FE.ZS NA NA
## 186 SL.EMP.SELF.FE.ZS NA NA
## 187 per_lm_alllm.cov_pop_tot NA NA
## 188 SL.UEM.NEET.MA.ZS NA NA
## 189 SL.UEM.1524.FE.NE.ZS NA NA
## 190 SL.TLF.0714.ZS NA NA
## 191 SL.SRV.EMPL.MA.ZS NA NA
## 192 SL.FAM.WORK.MA.ZS NA NA
## 193 SL.EMP.TOTL.SP.FE.NE.ZS NA NA
## 194 SL.AGR.EMPL.FE.ZS NA NA
## 195 per_lm_alllm.cov_q4_tot NA NA
## 196 SL.WAG.0714.MA.ZS NA NA
## 197 SL.UEM.BASC.FE.ZS NA NA
## 198 SL.TLF.0714.SW.ZS NA NA
## 199 SL.SLF.0714.FE.ZS NA NA
## 200 SL.EMP.WORK.FE.ZS NA NA
## 201 SL.EMP.MPYR.FE.ZS NA NA
## 202 SL.WAG.0714.ZS NA NA
## 203 SL.UEM.BASC.MA.ZS NA NA
## 204 SL.SLF.0714.MA.ZS NA NA
## 205 SL.EMP.WORK.MA.ZS NA NA
## 206 SL.EMP.MPYR.MA.ZS NA NA
## 207 per_lm_alllm.adq_pop_tot NA NA
## 208 SL.UEM.NEET.FE.ZS NA NA
## 209 SL.TLF.0714.WK.ZS NA NA
## 210 SL.SRV.EMPL.FE.ZS NA NA
## 211 SL.FAM.WORK.FE.ZS NA NA
## 212 SL.EMP.SMGT.FE.ZS NA NA
## 213 SL.AGR.0714.ZS NA NA
## 214 per_lm_alllm.cov_q3_tot NA NA
## 215 SL.UEM.TOTL.NE.ZS NA NA
## 216 SL.UEM.ADVN.FE.ZS NA NA
## 217 SL.MNF.0714.FE.ZS NA NA
## 218 SL.EMP.VULN.FE.ZS NA NA
## 219 SL.EMP.1524.SP.MA.ZS NA NA
## 220 SL.UEM.BASC.ZS NA NA
## 221 SL.TLF.PART.FE.ZS NA NA
## 222 SL.TLF.0714.WK.FE.ZS NA NA
## 223 SL.SLF.0714.ZS NA NA
## 224 SL.EMP.WORK.ZS NA NA
## 225 SL.EMP.MPYR.ZS NA NA
## 226 per_lm_alllm.ben_q1_tot NA NA
## 227 SL.UEM.TOTL.ZS NA NA
## 228 SL.UEM.ADVN.MA.ZS NA NA
## 229 SL.TLF.0714.SW.MA.ZS NA NA
## 230 SL.MNF.0714.MA.ZS NA NA
## 231 SL.EMP.VULN.MA.ZS NA NA
## 232 SL.EMP.1524.SP.NE.ZS NA NA
## 233 SL.UEM.TOTL.MA.NE.ZS NA NA
## 234 SL.UEM.1524.NE.ZS NA NA
## 235 SL.IND.EMPL.MA.ZS NA NA
## 236 SL.EMP.TOTL.SP.NE.ZS NA NA
## 237 SL.EMP.1524.SP.FE.ZS NA NA
## 238 SL.WAG.0714.FE.ZS NA NA
## 239 SL.UEM.ADVN.ZS NA NA
## 240 SL.MNF.0714.ZS NA NA
## 241 SL.EMP.VULN.ZS NA NA
## 242 SL.EMP.1524.SP.ZS NA NA
## X1962 X1963 X1964
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## 7 NA NA NA
## 8 NA NA NA
## 9 NA NA NA
## 10 NA NA NA
## 11 NA NA NA
## 12 NA NA NA
## 13 NA NA NA
## 14 NA NA NA
## 15 NA NA NA
## 16 NA NA NA
## 17 61000000.00000000 64000000.0000000 70000000.000000
## 18 NA NA NA
## 19 NA NA NA
## 20 NA NA NA
## 21 NA NA NA
## 22 NA NA NA
## 23 NA NA NA
## 24 NA NA NA
## 25 NA NA NA
## 26 NA NA NA
## 27 NA NA NA
## 28 NA NA NA
## 29 NA NA NA
## 30 NA NA NA
## 31 NA NA NA
## 32 NA NA NA
## 33 NA NA NA
## 34 NA NA NA
## 35 NA NA NA
## 36 NA NA NA
## 37 NA NA NA
## 38 NA NA NA
## 39 NA NA NA
## 40 8006300.03900000 6890092.2630000 6913580.247000
## 41 NA NA NA
## 42 NA NA NA
## 43 NA NA NA
## 44 NA NA NA
## 45 NA NA NA
## 46 NA NA NA
## 47 NA NA NA
## 48 NA NA NA
## 49 NA NA NA
## 50 NA NA NA
## 51 NA NA NA
## 52 NA NA NA
## 53 NA NA NA
## 54 5.22565146 23.5437153 28.421759
## 55 3439686156.00000000 3504872049.0000000 3768874732.000000
## 56 NA NA NA
## 57 NA NA NA
## 58 NA NA NA
## 59 263000000000.00000000 268000000000.0000000 288000000000.000000
## 60 NA NA NA
## 61 98.60539098 98.6135182 98.606407
## 62 NA NA NA
## 63 NA NA NA
## 64 NA NA NA
## 65 NA NA NA
## 66 NA NA NA
## 67 1.91032003 1.8951116 7.532449
## 68 5.89709100 3.5699251 1.194720
## 69 NA NA NA
## 70 NA NA NA
## 71 NA NA NA
## 72 574091101.20000005 496947904.4000000 496098775.300000
## 73 NA NA NA
## 74 NA NA NA
## 75 NA NA NA
## 76 NA NA NA
## 77 NA NA NA
## 78 NA NA NA
## 79 NA NA NA
## 80 NA NA NA
## 81 NA NA NA
## 82 1.25285777 1.2348354 1.499104
## 83 NA NA NA
## 84 NA NA NA
## 85 NA NA NA
## 86 NA NA NA
## 87 NA NA NA
## 88 NA NA NA
## 89 NA NA NA
## 90 NA NA NA
## 91 NA NA NA
## 92 NA NA NA
## 93 NA NA NA
## 94 NA NA NA
## 95 NA NA NA
## 96 NA NA NA
## 97 NA NA NA
## 98 NA NA NA
## 99 1.25285777 1.2348354 1.499104
## 100 NA NA NA
## 101 329.68826720 330.5042565 349.489003
## 102 4312999900.00000000 4552000000.0000000 4952999900.000000
## 103 -0.03886603 -0.3531196 -0.806291
## 104 NA NA NA
## 105 NA NA NA
## 106 NA NA NA
## 107 NA NA NA
## 108 6.09739355 7.2595321 8.333665
## 109 0.28994631 0.2475033 5.744176
## 110 NA NA NA
## 111 NA NA NA
## 112 4374000100.00000000 4616000000.0000000 5023000100.000000
## 113 NA NA NA
## 114 NA NA NA
## 115 NA NA NA
## 116 NA NA NA
## 117 NA NA NA
## 118 NA NA NA
## 119 NA NA NA
## 120 NA NA NA
## 121 NA NA NA
## 122 NA NA NA
## 123 25204.32508000 25266.7066100 26718.070750
## 124 NA NA NA
## 125 NA NA NA
## 126 NA NA NA
## 127 55.02568891 46.8614533 46.003404
## 128 NA NA NA
## 129 NA NA NA
## 130 NA NA NA
## 131 NA NA NA
## 132 NA NA NA
## 133 NA NA NA
## 134 1.66336818 1.7227492 1.743331
## 135 NA NA NA
## 136 419.24072380 435.2819809 465.784464
## 137 566084774.89999998 490057812.2000000 489185175.300000
## 138 NA NA NA
## 139 NA NA NA
## 140 NA NA NA
## 141 NA NA NA
## 142 NA NA NA
## 143 1.22770916 1.1676776 1.421461
## 144 NA NA NA
## 145 NA NA NA
## 146 NA NA NA
## 147 NA NA NA
## 148 NA NA NA
## 149 NA NA NA
## 150 NA NA NA
## 151 NA NA NA
## 152 NA NA NA
## 153 NA NA NA
## 154 NA NA NA
## 155 NA NA NA
## 156 NA NA NA
## 157 NA NA NA
## 158 NA NA NA
## 159 NA NA NA
## 160 NA NA NA
## 161 NA NA NA
## 162 NA NA NA
## 163 NA NA NA
## 164 NA NA NA
## 165 NA NA NA
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## 142 NA NA NA
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## 149 65.559997560 65.199996950 64.519996640
## 150 NA NA NA
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## 193 NA NA 93.000000000
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## 206 1.570000052 1.580000043 1.590000033
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## 219 79.152999880 78.608001710 77.941001890
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## 223 NA NA NA
## 224 16.049999240 16.030000690 16.219999310
## 225 0.939999998 0.939999998 0.949999988
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## 228 NA NA NA
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## 231 73.680002210 73.769998550 73.500000000
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## 236 NA NA 91.599998470
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## X2004 X2005 X2006
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## 2 21.484680000 21.650960000 19.453060000
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## 10 20.908940000 21.163750000 19.602440000
## 11 NA NA NA
## 12 8.974958500 9.179453421 8.779758410
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## 18 0.297218900 0.585547000 0.558104900
## 19 NA 1.300000000 1.300000000
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## 144 NA NA NA
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## 149 63.900001530 63.380001070 62.849998470
## 150 NA NA NA
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## 160 3.289999962 3.176000118 3.052999973
## 161 NA NA NA
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## 163 87.137001040 86.940002440 86.695999150
## 164 NA NA NA
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## 169 73.080001830 72.639999390 72.209999080
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## 192 28.819999690 28.059999470 27.329999920
## 193 NA NA NA
## 194 82.730003360 82.349998470 82.029998780
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## 206 1.590000033 1.600000024 1.610000014
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## 225 0.949999988 0.959999979 0.959999979
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## X2007 X2008 X2009
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## 7 13.460000000 421.500000000 12.900000000
## 8 13.050000000 15.070000000 12.770000000
## 9 44.805680000 29.095430000 45.964130000
## 10 45.070950000 20.783730000 45.290710000
## 11 NA NA 14.900000000
## 12 9.772473404 10.440086410 11.844036860
## 13 8.221876521 8.457497576 10.009751730
## 14 11.300000000 11.300000000 11.300000000
## 15 13723900000.000000000 16626800000.000000000 24051800000.000000000
## 16 26.000000000 26.000000000 26.000000000
## 17 51968000000.000000000 60401000000.000000000 78744000000.000000000
## 18 0.365099000 0.000000000 0.364580100
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## X2010 X2011 X2012
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## 16 26.000000000 26.000000000 26.00000000
## 17 109000000000.000000000 123000000000.000000000 140000000000.00000000
## 18 0.381365900 0.281743900 0.33904780
## 19 2.800000000 3.000000000 3.00000000
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## 21 20.993441060 19.390285370 19.32051265
## 22 1063759000.000000000 1324195000.000000000 2908351000.00000000
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## 24 11.130000000 11.080000000 10.90000000
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## 35 16.580000000 17.940000000 17.29000000
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## 99 54.589987790 46.424644350 48.75434965
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## 105 7.136335952 7.130624245 7.80807506
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## 143 54.212607180 46.025578610 48.39298877
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## 146 16.969999310 17.309999470 17.72999954
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## 149 60.400001530 59.709999080 58.54999924
## 150 NA NA NA
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## 157 NA NA NA
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## 160 3.982000113 4.551000118 5.18200016
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## 164 NA NA NA
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## 170 NA NA NA
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## 180 81.666000370 81.455001830 81.21299744
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## 192 23.709999080 22.590000150 21.29000092
## 193 NA NA NA
## 194 79.830001830 79.120002750 78.44000244
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## 206 1.649999976 1.669999957 1.71000004
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## 211 64.629997250 63.549999240 62.29000092
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## 218 91.389997480 91.009998320 90.53000069
## 219 72.753997800 71.806999210 70.84400177
## 220 NA NA NA
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## 225 0.990000010 0.990000010 1.00000000
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## 228 NA NA NA
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## X2013 X2014 X2015
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## 10 39.676930000 48.178210000 48.565040000
## 11 10.400000000 NA NA
## 12 13.297885860 13.994910490 14.686304570
## 13 11.039213270 11.662401160 12.269070170
## 14 11.300000000 11.300000000 11.300000000
## 15 64186691000.000000000 75608249000.000000000 86168029438.000000000
## 16 26.260000000 26.260000000 26.260000000
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## 20 24.761950890 24.199292530 24.208383530
## 21 20.958621220 20.522982790 19.814709930
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## 23 54327890000.000000000 64121990000.000000000 70529058946.000000000
## 24 13.750000000 8.080000000 11.350000000
## 25 15.520000000 13.120000000 13.170000000
## 26 34.000000000 34.000000000 34.000000000
## 27 439097000.000000000 1069880000.000000000 314849716.399999976
## 28 29.900000000 29.900000000 29.900000000
## 29 NA NA NA
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## 31 56931815000.000000000 67980556000.000000000 74844459070.000000000
## 32 14.250000000 8.490000000 11.930000000
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## X2016 X2017 X2018
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## 53 0.944350687 0.845612140 NA
## 54 38.927998740 32.039557240 56.7722900
## 55 30605291409.000000000 29880062111.000000000 31149050463.0000000
## 56 0.002196459 0.001886447 NA
## 57 3952.760349000 3789.150372000 3878.4444200
## 58 0.000000000 0.000000000 NA
## 59 2340000000000.000000000 2280000000000.000000000 2380000000000.0000000
## 60 4.691155935 3.217402330 5.5119715
## 61 52.022716260 53.938846740 52.5839519
## 62 NA NA NA
## 63 24.116362860 24.250237970 NA
## 64 6947.961423000 7221.739239000 7132.7791940
## 65 NA NA NA
## 66 15.303407290 5.719357472 7.7080623
## 67 6.657055428 -2.369620627 4.2469401
## 68 4.691155935 3.217402330 5.5119715
## 69 4.445150850 NA NA
## 70 NA NA NA
## 71 0.000000000 0.000000000 NA
## 72 34186190996.000000000 33433670512.000000000 36288830373.0000000
## 73 126.075333600 124.720924000 128.0741502
## 74 1.102808710 NA NA
## 75 4.239999771 4.389999866 NA
## 76 0.290067383 0.287107335 0.2870042
## 77 113000000000.000000000 110000000000.000000000 115000000000.0000000
## 78 164.929691400 170.236143200 179.6195108
## 79 41.378740910 30.440281510 35.7822125
## 80 19.809060240 15.773649730 NA
## 81 NA NA NA
## 82 78.945910900 88.440039470 NA
## 83 NA NA NA
## 84 4119.584979000 3996.665470000 4260.8396940
## 85 0.440770893 0.512156620 NA
## 86 33.815125680 30.469220520 29.8519298
## 87 NA NA NA
## 88 3860000000000.000000000 3890000000000.000000000 4280000000000.0000000
## 89 4.981441388 4.474854392 4.6655983
## 90 49.249526590 40.918865590 43.8112282
## 91 22.401347910 19.365426670 NA
## 92 NA NA NA
## 93 NA NA NA
## 94 -4.793705761 -4.896852861 NA
## 95 -5.129629145 -0.251653458 -14.8229695
## 96 9.750191340 5.918168268 6.3694548
## 97 76.579497500 85.212910460 83.8927182
## 98 4.002321623 8.045683808 NA
## 99 78.945910900 88.440039470 NA
## 100 0.000000000 0.000000000 NA
## 101 1069.789098000 1025.509112000 1049.6759710
## 102 3340000000000.000000000 3430000000000.000000000 3660000000000.0000000
## 103 9.632236558 13.678851060 NA
## 104 0.114122286 NA NA
## 105 NA NA NA
## 106 5.230000000 NA NA
## 107 NA NA NA
## 108 97.169877780 117.749455500 NA
## 109 4.744512715 -4.139132233 2.3565718
## 110 27262952301.000000000 26602290156.000000000 27621363368.0000000
## 111 0.442967352 0.514043068 NA
## 112 3860000000000.000000000 3890000000000.000000000 4280000000000.0000000
## 113 -33.689653640 -27.308285940 -33.3927673
## 114 1.376595177 1.363585634 NA
## 115 0.000000000 0.000000000 NA
## 116 294000000000.000000000 101000000000.000000000 227000000000.0000000
## 117 13.010675410 12.047319930 11.7225156
## 118 28.065464890 25.150491920 23.5235500
## 119 NA NA NA
## 120 NA NA NA
## 121 0.118938770 NA NA
## 122 0.542801816 0.378738964 NA
## 123 81784.263710000 78399.104890000 80246.6360800
## 124 2110000000000.000000000 2060000000000.000000000 2140000000000.0000000
## 125 41.469590110 34.113575770 38.6019978
## 126 42.187508260 32.819757470 32.6238376
## 127 1194.957236000 1147.471971000 1222.8787940
## 128 NA NA NA
## 129 21.583372760 22.180090190 21.3198898
## 130 NA NA NA
## 131 NA NA NA
## 132 32.742748230 33.393741220 33.8286877
## 133 118000000000.000000000 116000000000.000000000 126000000000.0000000
## 134 164.929691400 170.236143200 179.6195108
## 135 7.779936474 6.805289826 5.2092304
## 136 134886.533800000 133463.612400000 144138.6152000
## 137 29610972525.000000000 29477215821.000000000 31072803545.0000000
## 138 84.696592710 94.280642530 92.2919377
## 139 -0.864102849 3.152060198 NA
## 140 NA NA NA
## 141 8.117095211 9.067732071 8.3992194
## 142 21.701865280 20.164782930 NA
## 143 78.845345330 88.340280580 NA
## 144 NA NA NA
## 145 5.184000015 7.113999844 8.5500002
## 146 20.520000460 NA NA
## 147 37.200000760 NA NA
## 148 80.064002990 72.265998840 74.8089981
## 149 52.110000610 NA NA
## 150 NA NA NA
## 151 NA NA NA
## 152 NA NA NA
## 153 NA NA NA
## 154 NA NA NA
## 155 NA NA NA
## 156 63.990001680 NA NA
## 157 NA NA NA
## 158 NA NA NA
## 159 2.944999933 4.532999992 4.9340000
## 160 6.835999966 9.159000397 10.5690002
## 161 NA NA NA
## 162 8.619999886 NA NA
## 163 81.698997500 75.538002010 76.5739975
## 164 NA NA NA
## 165 NA NA NA
## 166 NA NA NA
## 167 NA NA NA
## 168 NA NA NA
## 169 64.379997250 NA NA
## 170 NA NA NA
## 171 NA NA NA
## 172 NA NA NA
## 173 77.339996340 NA NA
## 174 NA NA NA
## 175 NA NA NA
## 176 3.288000107 4.955999851 5.1970000
## 177 5.951000214 8.088000298 9.5010004
## 178 NA NA NA
## 179 15.109999660 NA NA
## 180 80.777000430 73.702003480 75.5920029
## 181 NA NA NA
## 182 NA NA NA
## 183 NA NA NA
## 184 NA NA NA
## 185 NA NA NA
## 186 87.889999390 NA NA
## 187 NA NA NA
## 188 NA NA NA
## 189 NA NA NA
## 190 NA NA NA
## 191 24.579999920 NA NA
## 192 14.960000040 NA NA
## 193 NA NA NA
## 194 74.080001830 NA NA
## 195 NA NA NA
## 196 NA NA NA
## 197 NA NA NA
## 198 NA NA NA
## 199 NA NA NA
## 200 12.109999660 NA NA
## 201 0.430000007 NA NA
## 202 NA NA NA
## 203 NA NA NA
## 204 NA NA NA
## 205 36.009998320 NA NA
## 206 1.789999962 NA NA
## 207 NA NA NA
## 208 NA NA NA
## 209 NA NA NA
## 210 17.299999240 NA NA
## 211 54.790000920 NA NA
## 212 NA NA NA
## 213 NA NA NA
## 214 NA NA NA
## 215 NA NA NA
## 216 NA NA NA
## 217 NA NA NA
## 218 87.470001220 NA NA
## 219 67.081001280 59.401000980 60.6199989
## 220 NA NA NA
## 221 NA NA NA
## 222 NA NA NA
## 223 NA NA NA
## 224 22.670000080 NA NA
## 225 1.029999971 NA NA
## 226 NA NA NA
## 227 3.096999884 4.723999977 5.0520000
## 228 NA NA NA
## 229 NA NA NA
## 230 NA NA NA
## 231 62.200001720 NA NA
## 232 NA NA NA
## 233 NA NA NA
## 234 NA NA NA
## 235 23.309999470 NA NA
## 236 NA NA NA
## 237 74.179000850 64.136001590 67.2409973
## 238 NA NA NA
## 239 NA NA NA
## 240 NA NA NA
## 241 76.310001370 NA NA
## 242 70.737998960 61.816001890 63.9860001# Drop first and second column
nepal_df <- nepal_df[-c(1,2)]
nepal_df## IndicatorName
## 1 Tariff rate, applied, weighted mean, all products (%)
## 2 Share of tariff lines with international peaks, all products (%)
## 3 Taxes less subsidies on products (constant LCU)
## 4 Binding coverage, primary products (%)
## 5 Binding coverage, manufactured products (%)
## 6 Taxes on international trade (% of revenue)
## 7 Tariff rate, most favored nation, weighted mean, all products (%)
## 8 Tariff rate, applied, simple mean, all products (%)
## 9 Share of tariff lines with international peaks, primary products (%)
## 10 Share of tariff lines with international peaks, manufactured products (%)
## 11 Firms expected to give gifts in meetings with tax officials (% of firms)
## 12 Tax revenue (% of GDP)
## 13 Taxes on goods and services (% value added of industry and services)
## 14 Labor tax and contributions (% of commercial profits)
## 15 Taxes on income, profits and capital gains (current LCU)
## 16 Bound rate, simple mean, all products (%)
## 17 Taxes less subsidies on products (current LCU)
## 18 Share of tariff lines with specific rates, all products (%)
## 19 Other taxes payable by businesses (% of commercial profits)
## 20 Taxes on income, profits and capital gains (% of total taxes)
## 21 Customs and other import duties (% of tax revenue)
## 22 Other taxes (current LCU)
## 23 Customs and other import duties (current LCU)
## 24 Tariff rate, applied, weighted mean, primary products (%)
## 25 Tariff rate, applied, weighted mean, manufactured products (%)
## 26 Tax payments (number)
## 27 Taxes on exports (current LCU)
## 28 Total tax and contribution rate (% of profit)
## 29 Firms that do not report all sales for tax purposes (% of firms)
## 30 Taxes on goods and services (current LCU)
## 31 Taxes on international trade (current LCU)
## 32 Tariff rate, most favored nation, weighted mean, primary products (%)
## 33 Tariff rate, most favored nation, weighted mean, manufactured products (%)
## 34 Tariff rate, most favored nation, simple mean, all products (%)
## 35 Tariff rate, applied, simple mean, primary products (%)
## 36 Tariff rate, applied, simple mean, manufactured products (%)
## 37 Firms visited or required meetings with tax officials (% of firms)
## 38 Taxes on goods and services (% of revenue)
## 39 Binding coverage, all products (%)
## 40 Taxes less subsidies on products (current US$)
## 41 Tariff rate, most favored nation, simple mean, primary products (%)
## 42 Tariff rate, most favored nation, simple mean, manufactured products (%)
## 43 Number of visits or required meetings with tax officials (average for affected firms)
## 44 Taxes on income, profits and capital gains (% of revenue)
## 45 Time to prepare and pay taxes (hours)
## 46 Tax revenue (current LCU)
## 47 Bound rate, simple mean, primary products (%)
## 48 Bound rate, simple mean, manufactured products (%)
## 49 Share of tariff lines with specific rates, primary products (%)
## 50 Share of tariff lines with specific rates, manufactured products (%)
## 51 Profit tax (% of commercial profits)
## 52 Taxes on exports (% of tax revenue)
## 53 Other taxes (% of revenue)
## 54 Merchandise trade (% of GDP)
## 55 GDP (constant 2015 US$)
## 56 Coal rents (% of GDP)
## 57 GDP per capita, PPP (constant 2017 international $)
## 58 Mineral rents (% of GDP)
## 59 GDP (constant LCU)
## 60 Inflation, GDP deflator: linked series (annual %)
## 61 Services, value added (% of GDP)
## 62 Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)
## 63 Personal remittances, received (% of GDP)
## 64 GDP per person employed (constant 2017 PPP $)
## 65 Government expenditure per student, tertiary (% of GDP per capita)
## 66 Gross domestic savings (% of GDP)
## 67 GDP growth (annual %)
## 68 Inflation, GDP deflator (annual %)
## 69 Current health expenditure (% of GDP)
## 70 Government expenditure per student, primary (% of GDP per capita)
## 71 Oil rents (% of GDP)
## 72 GDP (current US$)
## 73 Gross national expenditure (% of GDP)
## 74 Domestic general government health expenditure (% of GDP)
## 75 Government expenditure on education, total (% of GDP)
## 76 Price level ratio of PPP conversion factor (GDP) to market exchange rate
## 77 GDP, PPP (constant 2017 international $)
## 78 GDP deflator: linked series (base year varies by country)
## 79 Gross capital formation (% of GDP)
## 80 Tax revenue (% of GDP)
## 81 Domestic credit provided by financial sector (% of GDP)
## 82 Monetary Sector credit to private sector (% GDP)
## 83 CO2 emissions (kg per 2015 US$ of GDP)
## 84 GDP per capita, PPP (current international $)
## 85 Forest rents (% of GDP)
## 86 Gross fixed capital formation (% of GDP)
## 87 Government expenditure per student, secondary (% of GDP per capita)
## 88 GDP: linked series (current LCU)
## 89 Manufacturing, value added (% of GDP)
## 90 Trade (% of GDP)
## 91 Revenue, excluding grants (% of GDP)
## 92 Research and development expenditure (% of GDP)
## 93 Energy use (kg of oil equivalent) per $1,000 GDP (constant 2017 PPP)
## 94 Net lending (+) / net borrowing (-) (% of GDP)
## 95 Current account balance (% of GDP)
## 96 Trade in services (% of GDP)
## 97 Households and NPISHs final consumption expenditure (% of GDP)
## 98 Net incurrence of liabilities, total (% of GDP)
## 99 Domestic credit to private sector (% of GDP)
## 100 Foreign direct investment, net outflows (% of GDP)
## 101 GDP per capita (constant 2015 US$)
## 102 Gross value added at basic prices (GVA) (current LCU)
## 103 Claims on central government, etc. (% GDP)
## 104 CO2 emissions (kg per PPP $ of GDP)
## 105 GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)
## 106 Energy intensity level of primary energy (MJ/$2017 PPP GDP)
## 107 Net investment in nonfinancial assets (% of GDP)
## 108 Broad money (% of GDP)
## 109 GDP per capita growth (annual %)
## 110 Gross value added at basic prices (GVA) (constant 2015 US$)
## 111 Total natural resources rents (% of GDP)
## 112 GDP (current LCU)
## 113 External balance on goods and services (% of GDP)
## 114 Military expenditure (% of GDP)
## 115 Natural gas rents (% of GDP)
## 116 Discrepancy in expenditure estimate of GDP (current LCU)
## 117 Industry (including construction), value added (% of GDP)
## 118 Gross fixed capital formation, private sector (% of GDP)
## 119 Central government debt, total (% of GDP)
## 120 Claims on other sectors of the domestic economy (% of GDP)
## 121 CO2 emissions (kg per 2017 PPP $ of GDP)
## 122 Foreign direct investment, net inflows (% of GDP)
## 123 GDP per capita (constant LCU)
## 124 Gross value added at basic prices (GVA) (constant LCU)
## 125 Imports of goods and services (% of GDP)
## 126 Gross savings (% of GDP)
## 127 GDP per capita (current US$)
## 128 Discrepancy in expenditure estimate of GDP (constant LCU)
## 129 Agriculture, forestry, and fishing, value added (% of GDP)
## 130 Stocks traded, total value (% of GDP)
## 131 Market capitalization of listed domestic companies (% of GDP)
## 132 PPP conversion factor, GDP (LCU per international $)
## 133 GDP, PPP (current international $)
## 134 GDP deflator (base year varies by country)
## 135 Exports of goods and services (% of GDP)
## 136 GDP per capita (current LCU)
## 137 Gross value added at basic prices (GVA) (current US$)
## 138 Final consumption expenditure (% of GDP)
## 139 Net acquisition of financial assets (% of GDP)
## 140 GDP per unit of energy use (PPP $ per kg of oil equivalent)
## 141 General government final consumption expenditure (% of GDP)
## 142 Expense (% of GDP)
## 143 Domestic credit to private sector by banks (% of GDP)
## 144 Share of youth not in education, employment or training, total (% of youth population)
## 145 Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
## 146 Employment in services (% of total employment) (modeled ILO estimate)
## 147 Contributing family workers, total (% of total employment) (modeled ILO estimate)
## 148 Employment to population ratio, 15+, female (%) (modeled ILO estimate)
## 149 Employment in agriculture, male (% of male employment) (modeled ILO estimate)
## 150 Coverage of unemployment benefits and ALMP in richest quintile (% of population)
## 151 Unemployment with intermediate education, male (% of male labor force with intermediate education)
## 152 Part time employment, total (% of total employment)
## 153 Children in employment, work only, male (% of male children in employment, ages 7-14)
## 154 Child employment in services, male (% of male economically active children ages 7-14)
## 155 Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14)
## 156 Self-employed, male (% of male employment) (modeled ILO estimate)
## 157 Child employment in agriculture, female (% of female economically active children ages 7-14)
## 158 Coverage of unemployment benefits and ALMP in poorest quintile (% of population)
## 159 Unemployment, female (% of female labor force) (modeled ILO estimate)
## 160 Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)
## 161 Children in employment, male (% of male children ages 7-14)
## 162 Employment in industry, female (% of female employment) (modeled ILO estimate)
## 163 Employment to population ratio, 15+, male (%) (modeled ILO estimate)
## 164 Employment to population ratio, ages 15-24, female (%) (national estimate)
## 165 Unemployment, female (% of female labor force) (national estimate)
## 166 Unemployment, youth male (% of male labor force ages 15-24) (national estimate)
## 167 Children in employment, female (% of female children ages 7-14)
## 168 Employment to population ratio, 15+, male (%) (national estimate)
## 169 Employment in agriculture (% of total employment) (modeled ILO estimate)
## 170 Unemployment with intermediate education (% of total labor force with intermediate education)
## 171 Child employment in services (% of economically active children ages 7-14)
## 172 Children in employment, unpaid family workers (% of children in employment, ages 7-14)
## 173 Self-employed, total (% of total employment) (modeled ILO estimate)
## 174 Child employment in agriculture, male (% of male economically active children ages 7-14)
## 175 Coverage of unemployment benefits and ALMP in 2nd quintile (% of population)
## 176 Unemployment, male (% of male labor force) (modeled ILO estimate)
## 177 Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)
## 178 Children in employment, study and work, female (% of female children in employment, ages 7-14)
## 179 Employment in industry (% of total employment) (modeled ILO estimate)
## 180 Employment to population ratio, 15+, total (%) (modeled ILO estimate)
## 181 Employment to population ratio, ages 15-24, male (%) (national estimate)
## 182 Unemployment with intermediate education, female (% of female labor force with intermediate education)
## 183 Part time employment, male (% of total male employment)
## 184 Child employment in services, female (% of female economically active children ages 7-14)
## 185 Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14)
## 186 Self-employed, female (% of female employment) (modeled ILO estimate)
## 187 Coverage of unemployment benefits and ALMP (% of population)
## 188 Share of youth not in education, employment or training, male (% of male youth population)
## 189 Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
## 190 Children in employment, total (% of children ages 7-14)
## 191 Employment in services, male (% of male employment) (modeled ILO estimate)
## 192 Contributing family workers, male (% of male employment) (modeled ILO estimate)
## 193 Employment to population ratio, 15+, female (%) (national estimate)
## 194 Employment in agriculture, female (% of female employment) (modeled ILO estimate)
## 195 Coverage of unemployment benefits and ALMP in 4th quintile (% of population)
## 196 Children in employment, wage workers, male (% of male children in employment, ages 7-14)
## 197 Unemployment with basic education, female (% of female labor force with basic education)
## 198 Children in employment, study and work (% of children in employment, ages 7-14)
## 199 Children in employment, self-employed, female (% of female children in employment, ages 7-14)
## 200 Wage and salaried workers, female (% of female employment) (modeled ILO estimate)
## 201 Employers, female (% of female employment) (modeled ILO estimate)
## 202 Children in employment, wage workers (% of children in employment, ages 7-14)
## 203 Unemployment with basic education, male (% of male labor force with basic education)
## 204 Children in employment, self-employed, male (% of male children in employment, ages 7-14)
## 205 Wage and salaried workers, male (% of male employment) (modeled ILO estimate)
## 206 Employers, male (% of male employment) (modeled ILO estimate)
## 207 Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households)
## 208 Share of youth not in education, employment or training, female (% of female youth population)
## 209 Children in employment, work only (% of children in employment, ages 7-14)
## 210 Employment in services, female (% of female employment) (modeled ILO estimate)
## 211 Contributing family workers, female (% of female employment) (modeled ILO estimate)
## 212 Female share of employment in senior and middle management (%)
## 213 Child employment in agriculture (% of economically active children ages 7-14)
## 214 Coverage of unemployment benefits and ALMP in 3rd quintile (% of population)
## 215 Unemployment, total (% of total labor force) (national estimate)
## 216 Unemployment with advanced education, female (% of female labor force with advanced education)
## 217 Child employment in manufacturing, female (% of female economically active children ages 7-14)
## 218 Vulnerable employment, female (% of female employment) (modeled ILO estimate)
## 219 Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)
## 220 Unemployment with basic education (% of total labor force with basic education)
## 221 Part time employment, female (% of total female employment)
## 222 Children in employment, work only, female (% of female children in employment, ages 7-14)
## 223 Children in employment, self-employed (% of children in employment, ages 7-14)
## 224 Wage and salaried workers, total (% of total employment) (modeled ILO estimate)
## 225 Employers, total (% of total employment) (modeled ILO estimate)
## 226 Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)
## 227 Unemployment, total (% of total labor force) (modeled ILO estimate)
## 228 Unemployment with advanced education, male (% of male labor force with advanced education)
## 229 Children in employment, study and work, male (% of male children in employment, ages 7-14)
## 230 Child employment in manufacturing, male (% of male economically active children ages 7-14)
## 231 Vulnerable employment, male (% of male employment) (modeled ILO estimate)
## 232 Employment to population ratio, ages 15-24, total (%) (national estimate)
## 233 Unemployment, male (% of male labor force) (national estimate)
## 234 Unemployment, youth total (% of total labor force ages 15-24) (national estimate)
## 235 Employment in industry, male (% of male employment) (modeled ILO estimate)
## 236 Employment to population ratio, 15+, total (%) (national estimate)
## 237 Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)
## 238 Children in employment, wage workers, female (% of female children in employment, ages 7-14)
## 239 Unemployment with advanced education (% of total labor force with advanced education)
## 240 Child employment in manufacturing (% of economically active children ages 7-14)
## 241 Vulnerable employment, total (% of total employment) (modeled ILO estimate)
## 242 Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)
## IndicatorCode X1960 X1961
## 1 TM.TAX.MRCH.WM.AR.ZS NA NA
## 2 TM.TAX.MRCH.IP.ZS NA NA
## 3 NY.TAX.NIND.KN NA NA
## 4 TM.TAX.TCOM.BC.ZS NA NA
## 5 TM.TAX.MANF.BC.ZS NA NA
## 6 GC.TAX.INTT.RV.ZS NA NA
## 7 TM.TAX.MRCH.WM.FN.ZS NA NA
## 8 TM.TAX.MRCH.SM.AR.ZS NA NA
## 9 TM.TAX.TCOM.IP.ZS NA NA
## 10 TM.TAX.MANF.IP.ZS NA NA
## 11 IC.TAX.GIFT.ZS NA NA
## 12 GC.TAX.TOTL.GD.ZS NA NA
## 13 GC.TAX.GSRV.VA.ZS NA NA
## 14 IC.TAX.LABR.CP.ZS NA NA
## 15 GC.TAX.YPKG.CN NA NA
## 16 TM.TAX.MRCH.BR.ZS NA NA
## 17 NY.TAX.NIND.CN 54000000.000000000 56000000.0000000
## 18 TM.TAX.MRCH.SR.ZS NA NA
## 19 IC.TAX.OTHR.CP.ZS NA NA
## 20 GC.TAX.YPKG.ZS NA NA
## 21 GC.TAX.IMPT.ZS NA NA
## 22 GC.TAX.OTHR.CN NA NA
## 23 GC.TAX.IMPT.CN NA NA
## 24 TM.TAX.TCOM.WM.AR.ZS NA NA
## 25 TM.TAX.MANF.WM.AR.ZS NA NA
## 26 IC.TAX.PAYM NA NA
## 27 GC.TAX.EXPT.CN NA NA
## 28 IC.TAX.TOTL.CP.ZS NA NA
## 29 IC.FRM.INFM.ZS NA NA
## 30 GC.TAX.GSRV.CN NA NA
## 31 GC.TAX.INTT.CN NA NA
## 32 TM.TAX.TCOM.WM.FN.ZS NA NA
## 33 TM.TAX.MANF.WM.FN.ZS NA NA
## 34 TM.TAX.MRCH.SM.FN.ZS NA NA
## 35 TM.TAX.TCOM.SM.AR.ZS NA NA
## 36 TM.TAX.MANF.SM.AR.ZS NA NA
## 37 IC.FRM.METG.ZS NA NA
## 38 GC.TAX.GSRV.RV.ZS NA NA
## 39 TM.TAX.MRCH.BC.ZS NA NA
## 40 NY.TAX.NIND.CD 7087544.297000000 7350045.9380000
## 41 TM.TAX.TCOM.SM.FN.ZS NA NA
## 42 TM.TAX.MANF.SM.FN.ZS NA NA
## 43 IC.TAX.METG NA NA
## 44 GC.TAX.YPKG.RV.ZS NA NA
## 45 IC.TAX.DURS NA NA
## 46 GC.TAX.TOTL.CN NA NA
## 47 TM.TAX.TCOM.BR.ZS NA NA
## 48 TM.TAX.MANF.BR.ZS NA NA
## 49 TM.TAX.TCOM.SR.ZS NA NA
## 50 TM.TAX.MANF.SR.ZS NA NA
## 51 IC.TAX.PRFT.CP.ZS NA NA
## 52 GC.TAX.EXPT.ZS NA NA
## 53 GC.TAX.OTHR.RV.ZS NA NA
## 54 TG.VAL.TOTL.GD.ZS 10.819649130 4.8875896
## 55 NY.GDP.MKTP.KD 3312006963.000000000 3375208865.0000000
## 56 NY.GDP.COAL.RT.ZS NA NA
## 57 NY.GDP.PCAP.PP.KD NA NA
## 58 NY.GDP.MINR.RT.ZS NA NA
## 59 NY.GDP.MKTP.KN 253000000000.000000000 258000000000.0000000
## 60 NY.GDP.DEFL.KD.ZG.AD NA NA
## 61 NV.SRV.TOTL.ZS 98.605729370 98.6183074
## 62 ER.GDP.FWTL.M3.KD NA NA
## 63 BX.TRF.PWKR.DT.GD.ZS NA NA
## 64 SL.GDP.PCAP.EM.KD NA NA
## 65 SE.XPD.TERT.PC.ZS NA NA
## 66 NY.GDS.TOTL.ZS NA NA
## 67 NY.GDP.MKTP.KD.ZG NA 1.9082660
## 68 NY.GDP.DEFL.KD.ZG NA 2.6880000
## 69 SH.XPD.CHEX.GD.ZS NA NA
## 70 SE.XPD.PRIM.PC.ZS NA NA
## 71 NY.GDP.PETR.RT.ZS NA NA
## 72 NY.GDP.MKTP.CD 508334414.000000000 531959561.6000000
## 73 NE.DAB.TOTL.ZS NA NA
## 74 SH.XPD.GHED.GD.ZS NA NA
## 75 SE.XPD.TOTL.GD.ZS NA NA
## 76 PA.NUS.PPPC.RF NA NA
## 77 NY.GDP.MKTP.PP.KD NA NA
## 78 NY.GDP.DEFL.ZS.AD NA NA
## 79 NE.GDI.TOTL.ZS NA NA
## 80 GC.TAX.TOTL.GD.ZS NA NA
## 81 FS.AST.DOMS.GD.ZS NA NA
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## 202 NA NA NA
## 203 NA NA NA
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## 205 22.65999985 22.88999939 23.19000053
## 206 1.50999999 1.50999999 1.51999998
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## 211 70.72000122 70.55000305 70.30000305
## 212 NA NA NA
## 213 NA NA NA
## 214 NA NA NA
## 215 NA 4.50000000 NA
## 216 NA NA NA
## 217 NA NA NA
## 218 93.53000069 93.47000313 93.37000275
## 219 80.58300018 80.43900299 80.36399841
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## 225 0.91000003 0.92000002 0.92000002
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## 238 NA NA NA
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## X1998 X1999 X2000
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## 2 50.15618000 20.58712000 18.555280000
## 3 56158723806.00000000 58700888407.00000000 63282813207.000000000
## 4 NA NA NA
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## 9 36.00000000 18.19923000 25.734160000
## 10 56.96041000 21.21320000 16.970310000
## 11 NA NA NA
## 12 8.63933255 8.42250523 8.735981111
## 13 7.36510298 6.90410027 7.031443074
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## 78 34.87491584 37.97426616 39.672640040
## 79 24.83936911 20.48351636 24.314866350
## 80 8.63933255 8.42250523 8.735981111
## 81 NA NA NA
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## 91 10.42762885 10.14893169 10.620362170
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## 98 3.49781449 3.48472091 3.188506619
## 99 28.66308232 28.87594825 30.670620820
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## 150 NA NA NA
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## 206 1.53999996 1.54999995 1.559999943
## 207 NA NA NA
## 208 NA NA NA
## 209 NA 35.60000000 NA
## 210 9.35000038 9.57999992 9.899999619
## 211 70.04000092 69.68000031 69.300003050
## 212 NA NA NA
## 213 NA 87.01000000 NA
## 214 NA NA NA
## 215 NA 1.85000002 NA
## 216 NA NA NA
## 217 NA 1.53166339 NA
## 218 93.27000046 93.14999962 93.000003810
## 219 80.32599640 80.23200226 79.723999020
## 220 NA NA NA
## 221 NA NA NA
## 222 NA 46.20000000 NA
## 223 NA 4.23000000 NA
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## 226 NA NA NA
## 227 1.78100002 1.85000002 1.855000019
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## 229 NA 76.77725118 NA
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## 232 NA NA NA
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## 235 12.18999958 14.34000015 15.300000190
## 236 NA 84.25000000 NA
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## 239 NA NA NA
## 240 NA 1.38000000 NA
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## 242 79.32800293 79.29199982 78.788002010
## X2001 X2002 X2003
## 1 NA 15.450000000 15.860000000
## 2 NA 18.448880000 19.350490000
## 3 66320388207.000000000 66006375707.000000000 70331721108.000000000
## 4 NA NA NA
## 5 NA NA NA
## 6 23.728236830 23.041080430 21.896123990
## 7 NA 15.450000000 15.860000000
## 8 NA 14.660000000 14.870000000
## 9 NA 22.927460000 23.143350000
## 10 NA 17.522970000 18.561960000
## 11 NA NA NA
## 12 8.802574747 8.560583141 8.651811853
## 13 6.371072049 6.391161382 6.722882993
## 14 NA NA NA
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## 21 30.940434840 29.780580200 31.380541900
## 22 605000000.000000000 839000000.000000000 1252600000.000000000
## 23 12025000000.000000000 11713000000.000000000 13364000000.000000000
## 24 NA 8.960000000 9.390000000
## 25 NA 18.590000000 18.990000000
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## 27 493000000.000000000 917000000.000000000 855600000.000000000
## 28 NA NA NA
## 29 NA NA NA
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## 32 NA 8.960000000 9.390000000
## 33 NA 18.590000000 18.990000000
## 34 NA 13.620000000 13.720000000
## 35 NA 14.180000000 14.190000000
## 36 NA 14.710000000 14.950000000
## 37 NA NA NA
## 38 32.497778790 32.334686300 31.096974830
## 39 NA NA NA
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## 41 NA 11.980000000 12.060000000
## 42 NA 13.900000000 14.010000000
## 43 NA NA NA
## 44 16.100493390 14.684843740 10.580624720
## 45 NA NA NA
## 46 38865000000.000000000 39331000000.000000000 42586900000.000000000
## 47 NA NA NA
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## 54 36.790074080 32.838221500 38.164604180
## 55 14077102964.000000000 14094015643.000000000 14650029882.000000000
## 56 0.003055141 0.002557438 0.002328474
## 57 2136.328983000 2106.152373000 2158.231649000
## 58 0.000000000 0.000000000 0.000000000
## 59 1080000000000.000000000 1080000000000.000000000 1120000000000.000000000
## 60 3.412486587 3.934857896 3.070304967
## 61 44.452945850 43.552954340 44.126639730
## 62 NA 1.481204951 NA
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## 64 4299.002233000 4221.191302000 4315.958411000
## 65 102.637010000 77.433540000 63.428020000
## 66 11.664627280 9.489666248 8.561179812
## 67 4.799892146 0.120143179 3.945037761
## 68 11.017148290 3.934857896 3.070304967
## 69 3.803862330 3.929912330 3.847534660
## 70 13.566010000 11.795080000 11.068620000
## 71 0.000000000 0.000000000 0.000000000
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## 73 110.678418900 110.756544900 112.848199100
## 74 0.582913280 0.790972050 0.658775090
## 75 3.708379984 3.152839899 3.114350080
## 76 0.173443968 0.171821678 0.169591614
## 77 52013443158.000000000 52075933762.000000000 54130349013.000000000
## 78 41.026463560 42.640796600 43.949999100
## 79 22.343046220 20.246211170 21.409378930
## 80 8.802574747 8.560583141 8.651811853
## 81 NA NA NA
## 82 29.415910450 22.868900820 26.142574030
## 83 0.245954094 0.197518292 0.205686742
## 84 1422.508725000 1424.272228000 1488.295004000
## 85 1.057559999 1.139219606 1.207725045
## 86 19.195116680 19.564777350 19.924181940
## 87 13.497220000 10.480570000 9.325930000
## 88 442000000000.000000000 459000000000.000000000 492000000000.000000000
## 89 8.699294828 8.213423646 7.887760015
## 90 55.799921080 46.230718500 44.247883620
## 91 10.451656100 10.502935080 10.905205080
## 92 NA NA NA
## 93 161.008010500 162.598044600 160.852038800
## 94 NA NA NA
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## 96 10.454617020 8.957206225 10.082726470
## 97 80.230604930 82.111903480 82.773782840
## 98 3.024561512 2.016354586 0.785586442
## 99 29.415910450 22.868900820 26.142574030
## 100 0.000000000 NA NA
## 101 578.183662400 570.016557400 584.111477800
## 102 413000000000.000000000 430000000000.000000000 460000000000.000000000
## 103 10.888104360 9.995384193 10.581672430
## 104 0.099901886 0.079225304 0.080904960
## 105 6.210871106 6.150135461 6.216893534
## 106 6.730000000 6.790000000 6.720000000
## 107 NA NA NA
## 108 51.525948860 50.832450380 52.294335040
## 109 3.052242500 -1.412545100 2.472721223
## 110 13065701954.000000000 13086686566.000000000 13579919754.000000000
## 111 1.060615140 1.141777044 1.210053519
## 112 442000000000.000000000 459000000000.000000000 492000000000.000000000
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## 117 16.660908300 16.946824740 16.971300060
## 118 15.104008800 15.769094320 16.933919240
## 119 58.989141590 63.935460980 62.588195380
## 120 NA NA NA
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## 123 44201.539550000 43577.172870000 44654.714880000
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## 125 33.239147360 28.493588980 28.548019120
## 126 18.550223500 25.131483620 25.126766110
## 127 246.725558100 244.720843500 252.402351800
## 128 NA NA NA
## 129 35.247670010 36.150295030 35.105875090
## 130 NA NA NA
## 131 NA NA NA
## 132 12.748131670 13.046419980 13.186731620
## 133 34633980664.000000000 35216021000.000000000 37327748401.000000000
## 134 41.026463560 42.640796600 43.949999100
## 135 22.560773720 17.737129520 15.699864490
## 136 18134.328520000 18581.653650000 19625.746780000
## 137 5624870748.000000000 5668339260.000000000 5920137147.000000000
## 138 88.335372720 90.510333750 91.438820190
## 139 -1.628697157 -1.984576977 -0.924037698
## 140 4.135607580 4.158990227 4.287107730
## 141 8.104982306 8.398430273 8.665037350
## 142 NA NA NA
## 143 29.083806620 22.509182640 25.812667950
## 144 NA NA NA
## 145 1.978999972 1.871000051 1.850999951
## 146 14.430000310 14.600000380 14.850000380
## 147 49.450000760 49.090000150 48.549999240
## 148 80.043998720 79.916999820 79.647003170
## 149 65.559997560 65.199996950 64.519996640
## 150 NA NA NA
## 151 NA NA NA
## 152 NA NA NA
## 153 NA NA NA
## 154 NA NA NA
## 155 NA NA NA
## 156 75.250000000 75.349998470 75.080001830
## 157 NA NA NA
## 158 NA NA NA
## 159 1.537999988 1.376000047 1.383999944
## 160 3.551000118 3.400000095 3.377000093
## 161 NA NA NA
## 162 5.750000000 5.949999809 6.139999866
## 163 87.804000850 87.750999450 87.392997740
## 164 NA NA NA
## 165 NA NA NA
## 166 NA NA NA
## 167 NA NA NA
## 168 NA NA 90.000000000
## 169 74.589996340 74.190002440 73.610000610
## 170 NA NA NA
## 171 NA NA NA
## 172 NA NA NA
## 173 83.949996950 83.970001220 83.790000920
## 174 NA NA NA
## 175 NA NA NA
## 176 1.945000052 1.703999996 1.796000004
## 177 2.763000011 2.625999928 2.598999977
## 178 NA NA NA
## 179 10.979999540 11.210000040 11.539999960
## 180 83.829002380 83.734001160 83.419998170
## 181 NA NA NA
## 182 NA NA NA
## 183 NA NA NA
## 184 NA NA NA
## 185 NA NA NA
## 186 93.120002750 93.040000920 92.940002440
## 187 NA NA NA
## 188 NA NA NA
## 189 NA NA NA
## 190 NA NA NA
## 191 18.489999770 18.590000150 18.819999690
## 192 30.940000530 30.379999160 29.639999390
## 193 NA NA 93.000000000
## 194 84.099998470 83.650001530 83.190002440
## 195 NA NA NA
## 196 NA NA NA
## 197 NA NA NA
## 198 NA NA NA
## 199 NA NA NA
## 200 6.880000114 6.960000038 7.059999943
## 201 0.270000011 0.270000011 0.270000011
## 202 NA NA NA
## 203 NA NA NA
## 204 NA NA NA
## 205 24.760000230 24.649999620 24.920000080
## 206 1.570000052 1.580000043 1.590000033
## 207 NA NA NA
## 208 NA NA NA
## 209 NA NA NA
## 210 10.149999620 10.409999850 10.670000080
## 211 68.949996950 68.769996640 68.440002440
## 212 NA NA NA
## 213 NA NA NA
## 214 NA NA NA
## 215 NA NA NA
## 216 NA NA NA
## 217 NA NA NA
## 218 92.849996570 92.769996640 92.670001980
## 219 79.152999880 78.608001710 77.941001890
## 220 NA NA NA
## 221 NA NA NA
## 222 NA NA NA
## 223 NA NA NA
## 224 16.049999240 16.030000690 16.219999310
## 225 0.939999998 0.939999998 0.949999988
## 226 NA NA NA
## 227 1.746000051 1.544000030 1.595000029
## 228 NA NA NA
## 229 NA NA NA
## 230 NA NA NA
## 231 73.680002210 73.769998550 73.500000000
## 232 NA NA NA
## 233 NA NA NA
## 234 NA NA NA
## 235 15.949999810 16.209999080 16.659999850
## 236 NA NA 91.599998470
## 237 77.411003110 76.958999630 76.420997620
## 238 NA NA NA
## 239 NA NA NA
## 240 NA NA NA
## 241 83.020000460 83.029998780 82.840000150
## 242 78.263000490 77.758003230 77.152000430
## X2004 X2005 X2006
## 1 15.490000000 15.400000000 13.130000000
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## 142 14.596338330 NA NA
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## 144 NA NA NA
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## 149 63.900001530 63.380001070 62.849998470
## 150 NA NA NA
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## 163 87.137001040 86.940002440 86.695999150
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## 192 28.819999690 28.059999470 27.329999920
## 193 NA NA NA
## 194 82.730003360 82.349998470 82.029998780
## 195 NA NA NA
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## 206 1.590000033 1.600000024 1.610000014
## 207 NA NA NA
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## 211 68.019996640 67.620002750 67.199996950
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## 215 NA NA NA
## 216 NA NA NA
## 217 NA NA NA
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## 219 77.313003540 76.700996400 76.103996280
## 220 NA NA NA
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## 225 0.949999988 0.959999979 0.959999979
## 226 NA NA NA
## 227 1.554000020 1.457999945 1.393000007
## 228 NA NA NA
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## 231 73.079998020 72.769998550 72.489999770
## 232 NA NA NA
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## 235 17.030000690 17.280000690 17.510000230
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## 238 NA NA NA
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## 242 76.571998600 76.003997800 75.430000310
## X2007 X2008 X2009
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## 2 45.037130000 22.366300000 45.411850000
## 3 90633928910.000000000 99768623911.000000000 112000000000.000000000
## 4 99.570000000 99.570000000 99.570000000
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## 7 13.460000000 421.500000000 12.900000000
## 8 13.050000000 15.070000000 12.770000000
## 9 44.805680000 29.095430000 45.964130000
## 10 45.070950000 20.783730000 45.290710000
## 11 NA NA 14.900000000
## 12 9.772473404 10.440086410 11.844036860
## 13 8.221876521 8.457497576 10.009751730
## 14 11.300000000 11.300000000 11.300000000
## 15 13723900000.000000000 16626800000.000000000 24051800000.000000000
## 16 26.000000000 26.000000000 26.000000000
## 17 51968000000.000000000 60401000000.000000000 78744000000.000000000
## 18 0.365099000 0.000000000 0.364580100
## 19 2.700000000 2.700000000 2.900000000
## 20 19.295004550 19.525244440 20.548084470
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## 22 2007900000.000000000 2451000000.000000000 3195600000.000000000
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## 27 698600000.000000000 445600000.000000000 793800000.000000000
## 28 32.800000000 34.100000000 32.500000000
## 29 NA NA NA
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## 31 16707600000.000000000 21062400000.000000000 26808800000.000000000
## 32 11.700000000 917.750000000 11.300000000
## 33 14.780000000 150.920000000 14.110000000
## 34 12.560000000 15.410000000 12.430000000
## 35 14.880000000 22.360000000 16.020000000
## 36 12.690000000 13.780000000 12.180000000
## 37 NA NA 63.400000000
## 38 37.858983300 37.310629610 37.943301070
## 39 99.370000000 99.370000000 99.370000000
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## 47 32.320000000 32.320000000 32.320000000
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## 54 38.641754840 36.100770510 40.505685630
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## 56 0.006617356 0.012369547 0.006176697
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## 58 0.000000000 0.000000000 0.000000000
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## 62 1.790103371 NA NA
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## 65 NA 47.408140000 51.517130000
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## 68 7.603288946 5.619854520 15.908330210
## 69 3.664843320 3.809113030 3.893147470
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## 73 118.868042300 120.484550900 122.240711400
## 74 0.676769550 0.709637460 0.794756530
## 75 3.517210007 3.805170059 4.663760185
## 76 0.213070182 0.239390819 0.233165742
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## 78 56.124126270 59.278220520 68.708395580
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## 80 9.772473404 10.440086410 11.844036860
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## 119 42.978661140 43.799987250 NA
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## 142 NA NA NA
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## 144 NA 23.129999160 NA
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## 146 15.970000270 16.309999470 16.649999620
## 147 46.209999080 45.500000000 44.779998780
## 148 78.785003660 78.533996580 78.458000180
## 149 62.360000610 61.569999690 61.009998320
## 150 NA NA NA
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## 160 2.933000088 2.842999935 3.388000011
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## 178 NA 83.759185460 NA
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## 180 82.513999940 82.222000120 81.959999080
## 181 NA 74.839996340 NA
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## 192 26.600000380 25.719999310 24.739999770
## 193 NA 78.739997860 NA
## 194 81.680000310 81.150001530 80.540000920
## 195 NA NA NA
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## 201 0.289999992 0.289999992 0.300000012
## 202 NA 2.080000000 NA
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## 205 26.170000080 26.780000690 27.389999390
## 206 1.620000005 1.629999995 1.639999986
## 207 NA NA NA
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## 210 11.800000190 12.159999850 12.600000380
## 211 66.790000920 66.230003360 65.510002140
## 212 NA NA NA
## 213 NA 88.970000000 NA
## 214 NA NA NA
## 215 NA 1.330000043 NA
## 216 NA 5.900000095 NA
## 217 NA 1.480000000 NA
## 218 92.130001070 91.940002440 91.680002210
## 219 75.483001710 74.818000790 73.822998050
## 220 NA 1.029999971 NA
## 221 NA 34.049999240 NA
## 222 NA 16.240814540 NA
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## 225 0.970000029 0.970000029 0.980000019
## 226 NA NA NA
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## 228 NA 4.590000153 NA
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## X2010 X2011 X2012
## 1 13.050000000 12.450000000 12.45000000
## 2 45.863650000 48.904060000 22.64935000
## 3 125000000000.000000000 123000000000.000000000 125000000000.00000000
## 4 99.570000000 99.570000000 99.57000000
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## 119 33.862521230 NA NA
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## 142 15.635200880 13.937905610 13.83933585
## 143 54.212607180 46.025578610 48.39298877
## 144 NA NA NA
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## 150 NA NA NA
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## 157 NA NA NA
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## 160 3.982000113 4.551000118 5.18200016
## 161 NA NA NA
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## 163 85.175003050 84.775001530 84.23200226
## 164 NA NA NA
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## 170 NA NA NA
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## 177 3.171000004 3.654000044 4.19399977
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## 181 NA NA NA
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## 187 NA NA NA
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## 190 NA NA NA
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## 192 23.709999080 22.590000150 21.29000092
## 193 NA NA NA
## 194 79.830001830 79.120002750 78.44000244
## 195 NA NA NA
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## 199 NA NA NA
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## 201 0.310000002 0.319999993 0.34000000
## 202 NA NA NA
## 203 NA NA NA
## 204 NA NA NA
## 205 28.149999620 28.930000310 29.96999931
## 206 1.649999976 1.669999957 1.71000004
## 207 NA NA NA
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## 211 64.629997250 63.549999240 62.29000092
## 212 NA NA NA
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## 218 91.389997480 91.009998320 90.53000069
## 219 72.753997800 71.806999210 70.84400177
## 220 NA NA NA
## 221 NA NA NA
## 222 NA NA NA
## 223 NA NA NA
## 224 18.299999240 18.670000080 19.15999985
## 225 0.990000010 0.990000010 1.00000000
## 226 NA NA NA
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## 228 NA NA NA
## 229 NA NA NA
## 230 NA NA NA
## 231 70.200000760 69.400001530 68.33000183
## 232 NA NA NA
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## 234 NA NA NA
## 235 18.819999690 19.190000530 19.79999924
## 236 NA NA NA
## 237 72.858001710 72.689002990 72.72899628
## 238 NA NA NA
## 239 NA NA NA
## 240 NA NA NA
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## 242 72.807998660 72.271003720 71.84600067
## X2013 X2014 X2015
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## 2 40.187240000 48.158470000 48.411490000
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## 4 99.550000000 99.550000000 99.550000000
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## 8 11.820000000 12.660000000 12.630000000
## 9 43.440240000 48.111210000 47.643380000
## 10 39.676930000 48.178210000 48.565040000
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## 12 13.297885860 13.994910490 14.686304570
## 13 11.039213270 11.662401160 12.269070170
## 14 11.300000000 11.300000000 11.300000000
## 15 64186691000.000000000 75608249000.000000000 86168029438.000000000
## 16 26.260000000 26.260000000 26.260000000
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## 24 13.750000000 8.080000000 11.350000000
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## 28 29.900000000 29.900000000 29.900000000
## 29 NA NA NA
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## 31 56931815000.000000000 67980556000.000000000 74844459070.000000000
## 32 14.250000000 8.490000000 11.930000000
## 33 16.170000000 14.110000000 14.090000000
## 34 12.210000000 12.230000000 12.250000000
## 35 16.000000000 16.220000000 16.860000000
## 36 11.210000000 12.120000000 12.070000000
## 37 65.600000000 NA NA
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## 39 99.420000000 99.420000000 99.420000000
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## 41 11.800000000 11.750000000 11.860000000
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## 53 1.054504769 1.108590276 1.224148440
## 54 33.615782680 37.300493110 30.265842620
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## 56 0.004958637 0.004321669 0.003273018
## 57 3033.780787000 3217.448510000 3331.871770000
## 58 0.000000000 0.000000000 0.000000000
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## 61 48.755217010 49.564019750 50.539896980
## 62 NA NA NA
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## 64 5723.105479000 6031.347043000 6196.548655000
## 65 22.294230000 26.749350000 24.162690000
## 66 8.178966875 9.364717232 7.625269885
## 67 3.525153174 6.011482841 3.976053274
## 68 7.082650999 8.035366199 4.409045432
## 69 4.630117890 5.075482850 5.466150760
## 70 11.225940000 13.057220000 12.359560000
## 71 0.000000000 0.000000000 0.000000000
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## 73 121.497642100 121.621371000 123.652164900
## 74 0.756774070 0.873644770 0.909276660
## 75 3.018110037 3.472130060 3.259020090
## 76 0.304697013 0.286651647 0.300962369
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## 78 115.372079700 124.642648800 130.138199800
## 79 29.676609020 30.986088230 31.277434820
## 80 13.297885860 13.994910490 14.686304570
## 81 NA NA NA
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## 128 NA NA NA
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## 143 50.185314830 54.220192400 56.684391890
## 144 NA NA NA
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## 146 18.120000840 18.549999240 18.940000530
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## 148 78.864997860 79.004997250 79.224998470
## 149 57.400001530 56.130001070 55.209999080
## 150 NA NA NA
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## 163 83.736999510 83.019996640 82.571998600
## 164 NA NA NA
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## 180 81.067001340 80.780998230 80.679000850
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## 194 77.760002140 76.949996950 76.290000920
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## 206 1.730000019 1.759999990 1.789999962
## 207 NA NA NA
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## 210 14.569999690 15.109999660 15.590000150
## 211 60.930000310 59.470001220 58.229999540
## 212 NA NA NA
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## 214 NA NA NA
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## 219 69.963996890 69.016998290 68.282997130
## 220 NA NA NA
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## 228 NA NA NA
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## 242 71.561996460 71.199996950 70.921997070
## X2016 X2017 X2018
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## 2 48.117750000 NA 19.941260000
## 3 170000000000.000000000 192000000000.000000000 211000000000.000000000
## 4 99.550000000 NA 99.540000000
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## 7 13.070000000 NA 13.420000000
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## 16 26.260000000 NA 26.330000000
## 17 267000000000.000000000 357000000000.000000000 445000000000.000000000
## 18 0.887735000 NA 0.249632900
## 19 1.100000000 1.100000000 1.100000000
## 20 27.116100480 26.151791320 23.471175130
## 21 18.477858080 17.767875050 18.440662510
## 22 5990203529.000000000 27392715000.000000000 10465303530.000000000
## 23 77802641716.000000000 98410300000.000000000 122000000000.000000000
## 24 12.260000000 NA 11.140000000
## 25 12.400000000 NA 12.770000000
## 26 34.000000000 34.000000000 39.000000000
## 27 159554770.699999988 125130000.000000000 102360000.000000000
## 28 29.900000000 30.000000000 37.000000000
## 29 NA NA NA
## 30 219000000000.000000000 279000000000.000000000 367000000000.000000000
## 31 82184049221.000000000 103000000000.000000000 127000000000.000000000
## 32 12.890000000 NA 12.200000000
## 33 13.180000000 NA 13.820000000
## 34 12.140000000 NA 13.190000000
## 35 18.400000000 NA 23.780000000
## 36 11.890000000 NA 11.110000000
## 37 NA NA NA
## 38 41.735439240 42.597940730 45.731152300
## 39 99.420000000 NA 99.410000000
## 40 2508487301.000000000 3357251910.000000000 4262858915.000000000
## 41 12.150000000 NA 15.820000000
## 42 11.970000000 NA 12.120000000
## 43 NA NA NA
## 44 21.787464950 22.149418990 19.268665650
## 45 339.000000000 339.000000000 353.000000000
## 46 421000000000.000000000 554000000000.000000000 659000000000.000000000
## 47 32.620000000 NA 32.880000000
## 48 24.120000000 NA 24.120000000
## 49 5.920496000 NA 1.493280000
## 50 0.000000000 NA 0.000000000
## 51 17.600000000 17.600000000 16.000000000
## 52 0.037893706 0.022592088 0.015521019
## 53 1.143084483 4.188812407 1.302742504
## 54 39.271576580 38.268525480 40.765261170
## 55 24466305357.000000000 26662713937.000000000 28695046274.000000000
## 56 0.003656839 0.004472639 0.004915582
## 57 3315.814414000 3565.197807000 3773.715918000
## 58 0.000142212 0.000000000 0.000000000
## 59 1870000000000.000000000 2040000000000.000000000 2190000000000.000000000
## 60 7.150334788 8.261412551 4.355858465
## 61 51.598044090 51.849782290 51.590443470
## 62 NA 2.807458481 NA
## 63 26.960577690 23.913544110 25.026419950
## 64 6053.330917000 6442.269479000 6719.346198000
## 65 NA NA NA
## 66 3.642858923 12.984755150 14.791612110
## 67 0.433113718 8.977279354 7.622376108
## 68 7.150334788 8.261412551 4.355858465
## 69 5.423798080 4.721732620 4.528452400
## 70 NA NA NA
## 71 0.000000000 0.000000000 0.000000000
## 72 24524098185.000000000 28971589213.000000000 33111525872.000000000
## 73 124.598140300 124.340298900 124.756188200
## 74 1.007718090 1.065424680 1.067212100
## 75 3.903209925 4.767220020 4.434450150
## 76 0.300876710 0.294080108 0.305011772
## 77 90400474175.000000000 98515977279.000000000 106000000000.000000000
## 78 139.443516700 150.963520900 157.539278200
## 79 28.240999200 37.325054010 39.547800330
## 80 16.143749760 17.999362120 19.082826060
## 81 NA NA NA
## 82 69.840800110 68.557085210 76.324608010
## 83 0.381749507 0.413686320 0.419236125
## 84 2989.675006000 3565.197807000 3863.870402000
## 85 1.027379417 0.698704855 0.419137823
## 86 28.705221690 30.575436400 32.432880030
## 87 NA NA NA
## 88 2610000000000.000000000 3080000000000.000000000 3460000000000.000000000
## 89 4.888189626 4.855673994 4.906474539
## 90 42.115486120 44.642410620 48.447386950
## 91 18.575933660 19.937328370 22.016896600
## 92 NA NA NA
## 93 NA NA NA
## 94 1.176663768 -2.385815315 -4.754252712
## 95 -0.684346954 -3.564329207 -8.300804944
## 96 10.622544970 11.107884010 10.632643860
## 97 88.431122590 78.496706530 77.146851610
## 98 2.179567295 2.281116159 5.633109835
## 99 69.840800110 68.557085210 76.324608010
## 100 0.000000000 0.000000000 0.000000000
## 101 897.403788100 964.897795200 1021.331877000
## 102 2340000000000.000000000 2720000000000.000000000 3010000000000.000000000
## 103 1.482233943 2.566531806 9.613530164
## 104 0.127716277 0.126679955 0.139924952
## 105 NA NA NA
## 106 5.930000000 5.760000000 5.680000000
## 107 4.688307873 6.754081565 NA
## 108 94.205860250 89.404971030 95.331782940
## 109 -0.481931973 7.521029890 5.848710831
## 110 21978879123.000000000 23866727131.000000000 25626474621.000000000
## 111 1.031178468 0.703177494 0.424053405
## 112 2610000000000.000000000 3080000000000.000000000 3460000000000.000000000
## 113 -25.756330040 -29.018033310 -32.816104900
## 114 1.700897728 1.708544543 1.539234028
## 115 0.000000000 0.000000000 0.000000000
## 116 30207725224.000000000 144000000000.000000000 279000000000.000000000
## 117 12.655417770 12.862585890 13.200639630
## 118 23.229324090 22.661093750 25.105547910
## 119 NA NA NA
## 120 NA NA NA
## 121 0.115154262 0.126679955 0.143267775
## 122 0.432213143 0.677439878 0.206157198
## 123 68605.586100000 73765.432730000 78079.759590000
## 124 1700000000000.000000000 1850000000000.000000000 1980000000000.000000000
## 125 33.935908080 36.830221970 40.631745920
## 126 35.305095990 41.880648460 42.603120800
## 127 899.523581000 1048.453755000 1178.525957000
## 128 NA NA NA
## 129 25.517875370 23.699548460 22.334672050
## 130 NA NA NA
## 131 NA NA NA
## 132 31.998809810 31.234983440 31.834993650
## 133 81508795260.000000000 98515977279.000000000 109000000000.000000000
## 134 139.443516700 150.963520900 157.539278200
## 135 8.179578040 7.812188656 7.815641022
## 136 95666.041940000 111358.894500000 123006.289700000
## 137 22015610883.000000000 25614337303.000000000 28848666957.000000000
## 138 96.357141080 87.015244850 85.208387890
## 139 4.289986965 0.767200801 -0.002792772
## 140 NA NA NA
## 141 7.926018483 8.518538323 8.061536277
## 142 14.227110740 16.853808450 20.165791700
## 143 69.657672670 68.416745450 76.168955320
## 144 NA 34.759998320 NA
## 145 4.748000145 5.109000206 5.135000229
## 146 19.290000920 19.709999080 20.110000610
## 147 39.700000760 38.819999690 38.029998780
## 148 79.734001160 79.711997990 79.942001340
## 149 54.930000310 53.790000920 52.889999390
## 150 NA NA NA
## 151 NA 13.250000000 NA
## 152 NA 29.889999390 NA
## 153 NA NA NA
## 154 NA NA NA
## 155 NA NA NA
## 156 66.629997250 65.620002750 64.809997560
## 157 NA NA NA
## 158 NA NA NA
## 159 2.721999884 3.076999903 3.002000093
## 160 6.546999931 7.008999825 6.901999950
## 161 NA NA NA
## 162 8.119999886 8.329999924 8.500000000
## 163 82.518997190 81.760002140 81.711997990
## 164 NA 16.569999690 NA
## 165 NA 12.020000460 NA
## 166 NA 19.229999540 NA
## 167 NA NA NA
## 168 NA 49.569999690 NA
## 169 66.660003660 65.809997560 65.080001830
## 170 NA 14.460000040 NA
## 171 NA NA NA
## 172 NA NA NA
## 173 79.150001530 78.519996640 77.959999080
## 174 NA NA NA
## 175 NA NA NA
## 176 3.051000118 3.625000000 3.436000109
## 177 5.565000057 5.974999905 5.947000027
## 178 NA NA NA
## 179 14.050000190 14.479999540 14.810000420
## 180 80.938003540 80.597000120 80.708999630
## 181 NA 31.909999850 NA
## 182 NA 16.510000230 NA
## 183 NA 23.459999080 NA
## 184 NA NA NA
## 185 NA NA NA
## 186 89.000000000 88.620002750 88.250000000
## 187 NA NA NA
## 188 NA 21.159999850 NA
## 189 NA 22.479999540 NA
## 190 NA NA NA
## 191 23.489999770 23.870000840 24.229999540
## 192 17.139999390 16.299999240 15.600000380
## 193 NA 24.559999470 NA
## 194 75.889999390 75.220001220 74.620002750
## 195 NA NA NA
## 196 NA NA NA
## 197 NA 12.640000340 NA
## 198 NA NA NA
## 199 NA NA NA
## 200 11.000000000 11.380000110 11.750000000
## 201 0.400000006 0.409999996 0.419999987
## 202 NA NA NA
## 203 NA 8.649999619 NA
## 204 NA NA NA
## 205 33.369998930 34.380001070 35.189998630
## 206 1.809999943 1.799999952 1.799999952
## 207 NA NA NA
## 208 NA 45.819999690 NA
## 209 NA NA NA
## 210 15.989999770 16.450000760 16.889999390
## 211 57.450000760 56.450000760 55.590000150
## 212 NA 13.899999620 NA
## 213 NA NA NA
## 214 NA NA NA
## 215 NA 10.659999850 NA
## 216 NA 7.679999828 NA
## 217 NA NA NA
## 218 88.610000610 88.210000990 87.830001830
## 219 68.164001460 67.495002750 67.277000430
## 220 NA 9.810000420 NA
## 221 NA 40.259998320 NA
## 222 NA NA NA
## 223 NA NA NA
## 224 20.850000380 21.479999540 22.040000920
## 225 1.019999981 1.019999981 1.029999971
## 226 NA NA NA
## 227 2.868000031 3.318000078 3.193000078
## 228 NA 8.609999657 NA
## 229 NA NA NA
## 230 NA NA NA
## 231 64.829998020 63.819999690 63.019998550
## 232 NA 23.450000760 NA
## 233 NA 9.789999962 NA
## 234 NA 20.530000690 NA
## 235 21.590000150 22.340000150 22.879999160
## 236 NA 35.659999850 NA
## 237 73.874000550 73.990997310 74.179000850
## 238 NA NA NA
## 239 NA 8.319999695 NA
## 240 NA NA NA
## 241 78.130001070 77.500000000 76.930000310
## 242 71.194000240 70.913002010 70.872001650
## X2019 X2020 X2021
## 1 14.220000000 11.600000000 NA
## 2 19.229910000 20.069780000 NA
## 3 230000000000.000000000 226000000000.000000000 244000000000.0000000
## 4 99.470000000 99.470000000 NA
## 5 99.630000000 99.630000000 NA
## 6 16.030555140 15.813597110 NA
## 7 15.430000000 12.660000000 NA
## 8 20.200000000 12.100000000 NA
## 9 26.645600000 29.784100000 NA
## 10 18.023810000 18.525150000 NA
## 11 NA NA NA
## 12 19.809060240 15.773649730 NA
## 13 16.909200190 10.512349670 NA
## 14 26.200000000 NA NA
## 15 188000000000.000000000 213000000000.000000000 NA
## 16 26.330000000 26.330000000 NA
## 17 516000000000.000000000 460000000000.000000000 615000000000.0000000
## 18 0.215982700 0.214721900 NA
## 19 0.700000000 NA NA
## 20 24.633623420 34.763024930 NA
## 21 17.923262960 19.169773800 NA
## 22 8442841000.000000000 6619530000.000000000 NA
## 23 137000000000.000000000 118000000000.000000000 NA
## 24 12.970000000 11.450000000 NA
## 25 14.740000000 11.210000000 NA
## 26 46.000000000 NA NA
## 27 237634000.000000000 112370000.000000000 NA
## 28 41.800000000 NA NA
## 29 NA NA NA
## 30 424000000000.000000000 270000000000.000000000 NA
## 31 143000000000.000000000 124000000000.000000000 NA
## 32 14.060000000 12.490000000 NA
## 33 15.990000000 12.290000000 NA
## 34 17.270000000 12.600000000 NA
## 35 73.040000000 18.700000000 NA
## 36 12.570000000 11.170000000 NA
## 37 NA NA NA
## 38 47.464739990 34.458915130 NA
## 39 99.400000000 99.400000000 NA
## 40 4575218471.000000000 3956454691.000000000 5216026828.0000000
## 41 27.660000000 13.290000000 NA
## 42 13.550000000 12.190000000 NA
## 43 NA NA NA
## 44 21.062203600 27.239470110 NA
## 45 377.000000000 NA NA
## 46 764000000000.000000000 613000000000.000000000 NA
## 47 32.880000000 32.880000000 NA
## 48 24.120000000 24.120000000 NA
## 49 1.369142000 1.472031000 NA
## 50 0.000000000 0.000000000 NA
## 51 15.000000000 NA NA
## 52 0.031086925 0.018319488 NA
## 53 0.944350687 0.845612140 NA
## 54 38.927998740 32.039557240 56.7722900
## 55 30605291409.000000000 29880062111.000000000 31149050463.0000000
## 56 0.002196459 0.001886447 NA
## 57 3952.760349000 3789.150372000 3878.4444200
## 58 0.000000000 0.000000000 NA
## 59 2340000000000.000000000 2280000000000.000000000 2380000000000.0000000
## 60 4.691155935 3.217402330 5.5119715
## 61 52.022716260 53.938846740 52.5839519
## 62 NA NA NA
## 63 24.116362860 24.250237970 NA
## 64 6947.961423000 7221.739239000 7132.7791940
## 65 NA NA NA
## 66 15.303407290 5.719357472 7.7080623
## 67 6.657055428 -2.369620627 4.2469401
## 68 4.691155935 3.217402330 5.5119715
## 69 4.445150850 NA NA
## 70 NA NA NA
## 71 0.000000000 0.000000000 NA
## 72 34186190996.000000000 33433670512.000000000 36288830373.0000000
## 73 126.075333600 124.720924000 128.0741502
## 74 1.102808710 NA NA
## 75 4.239999771 4.389999866 NA
## 76 0.290067383 0.287107335 0.2870042
## 77 113000000000.000000000 110000000000.000000000 115000000000.0000000
## 78 164.929691400 170.236143200 179.6195108
## 79 41.378740910 30.440281510 35.7822125
## 80 19.809060240 15.773649730 NA
## 81 NA NA NA
## 82 78.945910900 88.440039470 NA
## 83 NA NA NA
## 84 4119.584979000 3996.665470000 4260.8396940
## 85 0.440770893 0.512156620 NA
## 86 33.815125680 30.469220520 29.8519298
## 87 NA NA NA
## 88 3860000000000.000000000 3890000000000.000000000 4280000000000.0000000
## 89 4.981441388 4.474854392 4.6655983
## 90 49.249526590 40.918865590 43.8112282
## 91 22.401347910 19.365426670 NA
## 92 NA NA NA
## 93 NA NA NA
## 94 -4.793705761 -4.896852861 NA
## 95 -5.129629145 -0.251653458 -14.8229695
## 96 9.750191340 5.918168268 6.3694548
## 97 76.579497500 85.212910460 83.8927182
## 98 4.002321623 8.045683808 NA
## 99 78.945910900 88.440039470 NA
## 100 0.000000000 0.000000000 NA
## 101 1069.789098000 1025.509112000 1049.6759710
## 102 3340000000000.000000000 3430000000000.000000000 3660000000000.0000000
## 103 9.632236558 13.678851060 NA
## 104 0.114122286 NA NA
## 105 NA NA NA
## 106 5.230000000 NA NA
## 107 NA NA NA
## 108 97.169877780 117.749455500 NA
## 109 4.744512715 -4.139132233 2.3565718
## 110 27262952301.000000000 26602290156.000000000 27621363368.0000000
## 111 0.442967352 0.514043068 NA
## 112 3860000000000.000000000 3890000000000.000000000 4280000000000.0000000
## 113 -33.689653640 -27.308285940 -33.3927673
## 114 1.376595177 1.363585634 NA
## 115 0.000000000 0.000000000 NA
## 116 294000000000.000000000 101000000000.000000000 227000000000.0000000
## 117 13.010675410 12.047319930 11.7225156
## 118 28.065464890 25.150491920 23.5235500
## 119 NA NA NA
## 120 NA NA NA
## 121 0.118938770 NA NA
## 122 0.542801816 0.378738964 NA
## 123 81784.263710000 78399.104890000 80246.6360800
## 124 2110000000000.000000000 2060000000000.000000000 2140000000000.0000000
## 125 41.469590110 34.113575770 38.6019978
## 126 42.187508260 32.819757470 32.6238376
## 127 1194.957236000 1147.471971000 1222.8787940
## 128 NA NA NA
## 129 21.583372760 22.180090190 21.3198898
## 130 NA NA NA
## 131 NA NA NA
## 132 32.742748230 33.393741220 33.8286877
## 133 118000000000.000000000 116000000000.000000000 126000000000.0000000
## 134 164.929691400 170.236143200 179.6195108
## 135 7.779936474 6.805289826 5.2092304
## 136 134886.533800000 133463.612400000 144138.6152000
## 137 29610972525.000000000 29477215821.000000000 31072803545.0000000
## 138 84.696592710 94.280642530 92.2919377
## 139 -0.864102849 3.152060198 NA
## 140 NA NA NA
## 141 8.117095211 9.067732071 8.3992194
## 142 21.701865280 20.164782930 NA
## 143 78.845345330 88.340280580 NA
## 144 NA NA NA
## 145 5.184000015 7.113999844 8.5500002
## 146 20.520000460 NA NA
## 147 37.200000760 NA NA
## 148 80.064002990 72.265998840 74.8089981
## 149 52.110000610 NA NA
## 150 NA NA NA
## 151 NA NA NA
## 152 NA NA NA
## 153 NA NA NA
## 154 NA NA NA
## 155 NA NA NA
## 156 63.990001680 NA NA
## 157 NA NA NA
## 158 NA NA NA
## 159 2.944999933 4.532999992 4.9340000
## 160 6.835999966 9.159000397 10.5690002
## 161 NA NA NA
## 162 8.619999886 NA NA
## 163 81.698997500 75.538002010 76.5739975
## 164 NA NA NA
## 165 NA NA NA
## 166 NA NA NA
## 167 NA NA NA
## 168 NA NA NA
## 169 64.379997250 NA NA
## 170 NA NA NA
## 171 NA NA NA
## 172 NA NA NA
## 173 77.339996340 NA NA
## 174 NA NA NA
## 175 NA NA NA
## 176 3.288000107 4.955999851 5.1970000
## 177 5.951000214 8.088000298 9.5010004
## 178 NA NA NA
## 179 15.109999660 NA NA
## 180 80.777000430 73.702003480 75.5920029
## 181 NA NA NA
## 182 NA NA NA
## 183 NA NA NA
## 184 NA NA NA
## 185 NA NA NA
## 186 87.889999390 NA NA
## 187 NA NA NA
## 188 NA NA NA
## 189 NA NA NA
## 190 NA NA NA
## 191 24.579999920 NA NA
## 192 14.960000040 NA NA
## 193 NA NA NA
## 194 74.080001830 NA NA
## 195 NA NA NA
## 196 NA NA NA
## 197 NA NA NA
## 198 NA NA NA
## 199 NA NA NA
## 200 12.109999660 NA NA
## 201 0.430000007 NA NA
## 202 NA NA NA
## 203 NA NA NA
## 204 NA NA NA
## 205 36.009998320 NA NA
## 206 1.789999962 NA NA
## 207 NA NA NA
## 208 NA NA NA
## 209 NA NA NA
## 210 17.299999240 NA NA
## 211 54.790000920 NA NA
## 212 NA NA NA
## 213 NA NA NA
## 214 NA NA NA
## 215 NA NA NA
## 216 NA NA NA
## 217 NA NA NA
## 218 87.470001220 NA NA
## 219 67.081001280 59.401000980 60.6199989
## 220 NA NA NA
## 221 NA NA NA
## 222 NA NA NA
## 223 NA NA NA
## 224 22.670000080 NA NA
## 225 1.029999971 NA NA
## 226 NA NA NA
## 227 3.096999884 4.723999977 5.0520000
## 228 NA NA NA
## 229 NA NA NA
## 230 NA NA NA
## 231 62.200001720 NA NA
## 232 NA NA NA
## 233 NA NA NA
## 234 NA NA NA
## 235 23.309999470 NA NA
## 236 NA NA NA
## 237 74.179000850 64.136001590 67.2409973
## 238 NA NA NA
## 239 NA NA NA
## 240 NA NA NA
## 241 76.310001370 NA NA
## 242 70.737998960 61.816001890 63.9860001# unique(nepal_df$IndicatorName)
#table(tolower(nepal_df$IndicatorName))# Transposing the dataframe
# df_t <- (t(nepal_df))
df_t <- transpose(nepal_df)
rownames(df_t) <- colnames(nepal_df)
colnames(df_t) <- rownames(nepal_df)
#View(df_t)df_t[0,]## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
## [19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
## [37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
## [55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
## [73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
## [91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
## [109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
## [127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
## [145] 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162
## [163] 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## [181] 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198
## [199] 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216
## [217] 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234
## [235] 235 236 237 238 239 240 241 242
## <0 rows> (or 0-length row.names)# Rename the columns with the first row. Columns are not properly renamed from above lines.
colnames(df_t) <- df_t[2,]
# Remove the first and second row.
df_t <- df_t[-1:-2,]
nepal_df <- df_t
nepal_df## TM.TAX.MRCH.WM.AR.ZS TM.TAX.MRCH.IP.ZS NY.TAX.NIND.KN TM.TAX.TCOM.BC.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> 1075144628 <NA>
## X1966 <NA> <NA> 1406731222 <NA>
## X1967 <NA> <NA> 1185673493 <NA>
## X1968 <NA> <NA> 1446923644 <NA>
## X1969 <NA> <NA> 3024472246 <NA>
## X1970 <NA> <NA> -1115337050 <NA>
## X1971 <NA> <NA> 2481876086 <NA>
## X1972 <NA> <NA> 4049376524 <NA>
## X1973 <NA> <NA> 3225433883 <NA>
## X1974 <NA> <NA> 6511156281 <NA>
## X1975 <NA> <NA> 9405003569 <NA>
## X1976 <NA> <NA> 12570149882 <NA>
## X1977 <NA> <NA> 17604237553 <NA>
## X1978 <NA> <NA> 20950281283 <NA>
## X1979 <NA> <NA> 20859818526 <NA>
## X1980 <NA> <NA> 19654043511 <NA>
## X1981 <NA> <NA> 23180946411 <NA>
## X1982 <NA> <NA> 22186183085 <NA>
## X1983 <NA> <NA> 21432558471 <NA>
## X1984 <NA> <NA> 22547911341 <NA>
## X1985 <NA> <NA> 25833616503 <NA>
## X1986 <NA> <NA> 26400264605 <NA>
## X1987 <NA> <NA> 27218911058 <NA>
## X1988 <NA> <NA> 32705876319 <NA>
## X1989 <NA> <NA> 29809643007 <NA>
## X1990 <NA> <NA> 32075085848 <NA>
## X1991 <NA> <NA> 33779755004 <NA>
## X1992 <NA> <NA> 32457472104 <NA>
## X1993 15.96 56.73497 38102322604 <NA>
## X1994 <NA> <NA> 44412517305 <NA>
## X1995 <NA> <NA> 51546654806 <NA>
## X1996 <NA> <NA> 52631847606 <NA>
## X1997 <NA> <NA> 56691272306 <NA>
## X1998 20.09 50.15618 56158723806 <NA>
## X1999 14.01 20.58712 58700888407 <NA>
## X2000 16.84 18.55528 63282813207 <NA>
## X2001 <NA> <NA> 66320388207 <NA>
## X2002 15.45 18.44888 66006375707 <NA>
## X2003 15.86 19.35049 70331721108 <NA>
## X2004 15.49 21.48468 76378232809 99.58
## X2005 15.4 21.65096 81629088709 99.58
## X2006 13.13 19.45306 80394287609 99.58
## X2007 13.29 45.03713 90633928910 99.57
## X2008 421.5 22.3663 99768623911 99.57
## X2009 12.65 45.41185 112000000000 99.57
## X2010 13.05 45.86365 125000000000 99.57
## X2011 12.45 48.90406 123000000000 99.57
## X2012 12.45 22.64935 125000000000 99.57
## X2013 15.04 40.18724 136000000000 99.55
## X2014 10.55 48.15847 148000000000 99.55
## X2015 12.31 48.41149 162000000000 99.55
## X2016 12.35 48.11775 170000000000 99.55
## X2017 <NA> <NA> 192000000000 <NA>
## X2018 12.36 19.94126 211000000000 99.54
## X2019 14.22 19.22991 230000000000 99.47
## X2020 11.6 20.06978 226000000000 99.47
## X2021 <NA> <NA> 244000000000 <NA>
## TM.TAX.MANF.BC.ZS GC.TAX.INTT.RV.ZS TM.TAX.MRCH.WM.FN.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> 25.628645 <NA>
## X1991 <NA> 24.20675944 <NA>
## X1992 <NA> 22.94242197 <NA>
## X1993 <NA> 21.80039788 15.96
## X1994 <NA> 24.76087264 <NA>
## X1995 <NA> 25.9512628 <NA>
## X1996 <NA> 23.31508942 <NA>
## X1997 <NA> 23.55375415 <NA>
## X1998 <NA> 23.11959537 20.09
## X1999 <NA> 24.37387964 14.01
## X2000 <NA> 23.49885907 16.84
## X2001 <NA> 23.72823683 <NA>
## X2002 <NA> 23.04108043 15.45
## X2003 <NA> 21.89612399 15.86
## X2004 99.6 21.88843859 15.49
## X2005 99.6 19.04223091 15.49
## X2006 99.6 18.2445287 13.26
## X2007 99.61 16.34988095 13.46
## X2008 99.61 17.45746781 421.5
## X2009 99.61 16.14751576 12.9
## X2010 99.61 16.28623552 13.35
## X2011 99.61 14.46186363 12.8
## X2012 99.61 15.22137267 12.87
## X2013 99.64 17.20431016 15.65
## X2014 99.64 16.80061443 11.31
## X2015 99.64 16.63159732 13.08
## X2016 99.64 15.68282462 13.07
## X2017 <NA> 15.75943716 <NA>
## X2018 99.63 15.7924584 13.42
## X2019 99.63 16.03055514 15.43
## X2020 99.63 15.81359711 12.66
## X2021 <NA> <NA> <NA>
## TM.TAX.MRCH.SM.AR.ZS TM.TAX.TCOM.IP.ZS TM.TAX.MANF.IP.ZS IC.TAX.GIFT.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> <NA>
## X1992 <NA> <NA> <NA> <NA>
## X1993 20.87 26.03093 63.02853 <NA>
## X1994 <NA> <NA> <NA> <NA>
## X1995 <NA> <NA> <NA> <NA>
## X1996 <NA> <NA> <NA> <NA>
## X1997 <NA> <NA> <NA> <NA>
## X1998 21.67 36 56.96041 <NA>
## X1999 14.36 18.19923 21.2132 <NA>
## X2000 14.41 25.73416 16.97031 <NA>
## X2001 <NA> <NA> <NA> <NA>
## X2002 14.66 22.92746 17.52297 <NA>
## X2003 14.87 23.14335 18.56196 <NA>
## X2004 14.82 24.2228 20.90894 <NA>
## X2005 14.72 23.89532 21.16375 <NA>
## X2006 13.11 18.42007 19.60244 <NA>
## X2007 13.05 44.80568 45.07095 <NA>
## X2008 15.07 29.09543 20.78373 <NA>
## X2009 12.77 45.96413 45.29071 14.9
## X2010 12.98 48.29414 45.33381 <NA>
## X2011 13.15 51.06639 48.47382 <NA>
## X2012 12.85 24.60198 22.2418 <NA>
## X2013 11.82 43.44024 39.67693 10.4
## X2014 12.66 48.11121 48.17821 <NA>
## X2015 12.63 47.64338 48.56504 <NA>
## X2016 12.65 47.42036 48.25839 <NA>
## X2017 <NA> <NA> <NA> <NA>
## X2018 12.79 28.52165 18.46353 <NA>
## X2019 20.2 26.6456 18.02381 <NA>
## X2020 12.1 29.7841 18.52515 <NA>
## X2021 <NA> <NA> <NA> <NA>
## GC.TAX.TOTL.GD.ZS GC.TAX.GSRV.VA.ZS IC.TAX.LABR.CP.ZS GC.TAX.YPKG.CN
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 6.996692968 7.375946529 <NA> 943000000
## X1991 6.620301936 6.911035363 <NA> 768000000
## X1992 6.483344072 6.968780364 <NA> 875000000
## X1993 6.654637356 6.764000417 <NA> 1174000000
## X1994 7.729134048 7.647323859 <NA> 1931000000
## X1995 8.985513859 8.258410491 <NA> 2751000000
## X1996 8.719914187 8.016256591 <NA> 3326000000
## X1997 8.723659866 7.763240037 <NA> 3954000000
## X1998 8.639332547 7.365102977 <NA> 4576000000
## X1999 8.422505233 6.904100273 <NA> 5774000000
## X2000 8.735981111 7.031443074 <NA> 6969000000
## X2001 8.802574747 6.371072049 <NA> 8517000000
## X2002 8.560583141 6.391161382 <NA> 8068000000
## X2003 8.651811853 6.722882993 <NA> 6879300000
## X2004 8.9749585 6.961713693 <NA> 8123300000
## X2005 9.179453421 7.607887563 11.3 8790400000
## X2006 8.77975841 7.440960428 11.3 9162391000
## X2007 9.772473404 8.221876521 11.3 13723900000
## X2008 10.44008641 8.457497576 11.3 16626800000
## X2009 11.84403686 10.00975173 11.3 24051800000
## X2010 13.39611544 12.40721413 11.3 33821327000
## X2011 11.62467555 10.48746079 11.3 43121246000
## X2012 12.04080455 10.473829 11.3 51303230000
## X2013 13.29788586 11.03921327 11.3 64186691000
## X2014 13.99491049 11.66240116 11.3 75608249000
## X2015 14.68630457 12.26907017 11.3 86168029438
## X2016 16.14374976 13.050688 11.3 114000000000
## X2017 17.99936212 13.98934979 11.3 145000000000
## X2018 19.08282606 16.40675864 19.9 155000000000
## X2019 19.80906024 16.90920019 26.2 188000000000
## X2020 15.77364973 10.51234967 <NA> 213000000000
## X2021 <NA> <NA> <NA> <NA>
## TM.TAX.MRCH.BR.ZS NY.TAX.NIND.CN TM.TAX.MRCH.SR.ZS IC.TAX.OTHR.CP.ZS
## X1960 <NA> 54000000 <NA> <NA>
## X1961 <NA> 56000000 <NA> <NA>
## X1962 <NA> 61000000 <NA> <NA>
## X1963 <NA> 64000000 <NA> <NA>
## X1964 <NA> 70000000 <NA> <NA>
## X1965 <NA> 78000000 <NA> <NA>
## X1966 <NA> 178000000 <NA> <NA>
## X1967 <NA> 91000000 <NA> <NA>
## X1968 <NA> 108000000 <NA> <NA>
## X1969 <NA> 161000000 <NA> <NA>
## X1970 <NA> 55000000 <NA> <NA>
## X1971 <NA> 163000000 <NA> <NA>
## X1972 <NA> 239000000 <NA> <NA>
## X1973 <NA> 204000000 <NA> <NA>
## X1974 <NA> 383000000 <NA> <NA>
## X1975 <NA> 635000000 <NA> <NA>
## X1976 <NA> 805000000 <NA> <NA>
## X1977 <NA> 1025000000 <NA> <NA>
## X1978 <NA> 1306000000 <NA> <NA>
## X1979 <NA> 1436000000 <NA> <NA>
## X1980 <NA> 1464999900 <NA> <NA>
## X1981 <NA> 1840999900 <NA> <NA>
## X1982 <NA> 1951000100 <NA> <NA>
## X1983 <NA> 2116999900 <NA> <NA>
## X1984 <NA> 2385999900 <NA> <NA>
## X1985 <NA> 2571000000 <NA> <NA>
## X1986 <NA> 3007000000 <NA> <NA>
## X1987 <NA> 3492000000 <NA> <NA>
## X1988 <NA> 4692000000 <NA> <NA>
## X1989 <NA> 4758000000 <NA> <NA>
## X1990 <NA> 5668000000 <NA> <NA>
## X1991 <NA> 6532000000 <NA> <NA>
## X1992 <NA> 7487000000 <NA> <NA>
## X1993 <NA> 9702000000 1.083305 <NA>
## X1994 <NA> 12149000000 <NA> <NA>
## X1995 <NA> 14261000000 <NA> <NA>
## X1996 <NA> 15457000000 <NA> <NA>
## X1997 <NA> 17952000000 <NA> <NA>
## X1998 <NA> 18943000000 8.21062 <NA>
## X1999 <NA> 21456000000 1.742424 <NA>
## X2000 <NA> 23945000000 2.08161 <NA>
## X2001 <NA> 28090335300 <NA> <NA>
## X2002 <NA> 29046000000 0.2909246 <NA>
## X2003 <NA> 31906000000 0.2907183 <NA>
## X2004 25.94 36050000000 0.2972189 <NA>
## X2005 25.94 40927000000 0.585547 1.3
## X2006 25.94 42966000000 0.5581049 1.3
## X2007 26 51968000000 0.365099 2.7
## X2008 26 60401000000 0 2.7
## X2009 26 78744000000 0.3645801 2.9
## X2010 26 109000000000 0.3813659 2.8
## X2011 26 123000000000 0.2817439 3
## X2012 26 140000000000 0.3390478 3
## X2013 26.26 172000000000 0.5153311 1
## X2014 26.26 210000000000 0 1
## X2015 26.26 237000000000 0.8449514 1.1
## X2016 26.26 267000000000 0.887735 1.1
## X2017 <NA> 357000000000 <NA> 1.1
## X2018 26.33 445000000000 0.2496329 1.1
## X2019 26.33 516000000000 0.2159827 0.7
## X2020 26.33 460000000000 0.2147219 <NA>
## X2021 <NA> 615000000000 <NA> <NA>
## GC.TAX.YPKG.ZS GC.TAX.IMPT.ZS GC.TAX.OTHR.CN GC.TAX.IMPT.CN
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 13.03260224 36.96670675 98500000 2674800000
## X1991 9.370424597 36.18838458 106000000 2966000000
## X1992 8.837491163 32.76436724 87000000 3244000000
## X1993 10.04191258 32.53784963 86000000 3804000000
## X1994 12.53733281 31.34657837 69000000 4828000000
## X1995 13.96872144 33.94942622 69000000 6686000000
## X1996 15.32365814 33.0661138 105000000 7177000000
## X1997 16.15790119 33.16987455 269000000 8117000000
## X1998 17.60609442 31.84179139 436000000 8276000000
## X1999 20.0430436 31.67870036 522000000 9126000000
## X2000 21.02135618 31.19268822 575000000 10341000000
## X2001 21.9143188 30.94043484 605000000 12025000000
## X2002 20.51308128 29.7805802 839000000 11713000000
## X2003 16.15355896 31.3805419 1252600000 13364000000
## X2004 16.86276545 31.04311544 1391200000 14954400000
## X2005 16.24698733 27.51752155 1675900000 14888300000
## X2006 15.95485015 25.41960101 1771133000 14597713000
## X2007 19.29500455 22.39482501 2007900000 15928700000
## X2008 19.52524444 24.09183681 2451000000 20515500000
## X2009 20.54808447 22.0116308 3195600000 25764900000
## X2010 21.16672162 20.99344106 1063759000 33544450000
## X2011 23.79042862 19.39028537 1324195000 35145784000
## X2012 24.2312975 19.32051265 2908351000 40905969000
## X2013 24.76195089 20.95862122 3489525000 54327890000
## X2014 24.19929253 20.52298279 4485704000 64121990000
## X2015 24.20838353 19.81470993 5508835142 70529058946
## X2016 27.11610048 18.47785808 5990203529 77802641716
## X2017 26.15179132 17.76787505 27392715000 98410300000
## X2018 23.47117513 18.44066251 10465303530 122000000000
## X2019 24.63362342 17.92326296 8442841000 137000000000
## X2020 34.76302493 19.1697738 6619530000 118000000000
## X2021 <NA> <NA> <NA> <NA>
## TM.TAX.TCOM.WM.AR.ZS TM.TAX.MANF.WM.AR.ZS IC.TAX.PAYM GC.TAX.EXPT.CN
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> 32200000
## X1991 <NA> <NA> <NA> 78000000
## X1992 <NA> <NA> <NA> 115000000
## X1993 9.24 22.1 <NA> 141000000
## X1994 <NA> <NA> <NA> 427000000
## X1995 <NA> <NA> <NA> 332000000
## X1996 <NA> <NA> <NA> 150000000
## X1997 <NA> <NA> <NA> 168000000
## X1998 17.09 30.35 <NA> 217000000
## X1999 12 16.41 <NA> 378000000
## X2000 13.83 20.87 <NA> 432000000
## X2001 <NA> <NA> <NA> 493000000
## X2002 8.96 18.59 <NA> 917000000
## X2003 9.39 18.99 <NA> 855600000
## X2004 9.51 18.38 <NA> 527100000
## X2005 9.35 18.28 34 697900000
## X2006 11.59 14.34 34 625284000
## X2007 11.62 14.56 34 698600000
## X2008 917.75 150.92 34 445600000
## X2009 11.18 13.79 34 793800000
## X2010 11.13 14.25 34 915461000
## X2011 11.08 13.7 34 292395000
## X2012 10.9 13.78 34 861574000
## X2013 13.75 15.52 34 439097000
## X2014 8.08 13.12 34 1069880000
## X2015 11.35 13.17 34 314849716.4
## X2016 12.26 12.4 34 159554770.7
## X2017 <NA> <NA> 34 125130000
## X2018 11.14 12.77 39 102360000
## X2019 12.97 14.74 46 237634000
## X2020 11.45 11.21 <NA> 112370000
## X2021 <NA> <NA> <NA> <NA>
## IC.TAX.TOTL.CP.ZS IC.FRM.INFM.ZS GC.TAX.GSRV.CN GC.TAX.INTT.CN
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> 3487200000 2707000000
## X1991 <NA> <NA> 4278000000 3044000000
## X1992 <NA> <NA> 5580000000 3359000000
## X1993 <NA> <NA> 6486000000 3945000000
## X1994 <NA> <NA> 8147000000 5255000000
## X1995 <NA> <NA> 9856000000 7018000000
## X1996 <NA> <NA> 10947000000 7327000000
## X1997 <NA> <NA> 11938000000 8310000000
## X1998 <NA> <NA> 12477000000 8502000000
## X1999 <NA> <NA> 12994000000 9518000000
## X2000 <NA> <NA> 14795000000 10813000000
## X2001 <NA> <NA> 17191000000 12552000000
## X2002 <NA> <NA> 17765000000 12659000000
## X2003 <NA> <NA> 20218600000 14236400000
## X2004 <NA> <NA> 23103700000 15554800000
## X2005 32.5 <NA> 27937000000 15701500000
## X2006 32.5 <NA> 31149795000 15343676000
## X2007 32.8 <NA> 38687300000 16707600000
## X2008 34.1 <NA> 45015200000 21062400000
## X2009 32.5 <NA> 62995100000 26808800000
## X2010 31.7 <NA> 89681363000 35218933000
## X2011 31.5 <NA> 100000000000 36575544000
## X2012 31.5 <NA> 114000000000 43390806000
## X2013 29.9 <NA> 135000000000 56931815000
## X2014 29.9 <NA> 164000000000 67980556000
## X2015 29.9 <NA> 189000000000 74844459070
## X2016 29.9 <NA> 219000000000 82184049221
## X2017 30 <NA> 279000000000 103000000000
## X2018 37 <NA> 367000000000 127000000000
## X2019 41.8 <NA> 424000000000 143000000000
## X2020 <NA> <NA> 270000000000 124000000000
## X2021 <NA> <NA> <NA> <NA>
## TM.TAX.TCOM.WM.FN.ZS TM.TAX.MANF.WM.FN.ZS TM.TAX.MRCH.SM.FN.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 9.25 22.1 16.57
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 17.09 30.35 16.2
## X1999 12 16.41 12.43
## X2000 13.83 20.87 13.29
## X2001 <NA> <NA> <NA>
## X2002 8.96 18.59 13.62
## X2003 9.39 18.99 13.72
## X2004 9.51 18.38 13.79
## X2005 9.39 18.41 13.76
## X2006 11.65 14.5 12.51
## X2007 11.7 14.78 12.56
## X2008 917.75 150.92 15.41
## X2009 11.3 14.11 12.43
## X2010 11.3 14.62 12.33
## X2011 11.29 14.15 12.35
## X2012 11.17 14.31 12.2
## X2013 14.25 16.17 12.21
## X2014 8.49 14.11 12.23
## X2015 11.93 14.09 12.25
## X2016 12.89 13.18 12.14
## X2017 <NA> <NA> <NA>
## X2018 12.2 13.82 13.19
## X2019 14.06 15.99 17.27
## X2020 12.49 12.29 12.6
## X2021 <NA> <NA> <NA>
## TM.TAX.TCOM.SM.AR.ZS TM.TAX.MANF.SM.AR.ZS IC.FRM.METG.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 11.34 22.54 <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 16.64 23.23 <NA>
## X1999 11.95 14.87 <NA>
## X2000 15.94 14.12 <NA>
## X2001 <NA> <NA> <NA>
## X2002 14.18 14.71 <NA>
## X2003 14.19 14.95 <NA>
## X2004 14.35 14.86 <NA>
## X2005 14.08 14.8 <NA>
## X2006 14.99 12.74 <NA>
## X2007 14.88 12.69 <NA>
## X2008 22.36 13.78 <NA>
## X2009 16.02 12.18 63.4
## X2010 16.58 12.29 <NA>
## X2011 17.94 12.38 <NA>
## X2012 17.29 12.13 <NA>
## X2013 16 11.21 65.6
## X2014 16.22 12.12 <NA>
## X2015 16.86 12.07 <NA>
## X2016 18.4 11.89 <NA>
## X2017 <NA> <NA> <NA>
## X2018 23.78 11.11 <NA>
## X2019 73.04 12.57 <NA>
## X2020 18.7 11.17 <NA>
## X2021 <NA> <NA> <NA>
## GC.TAX.GSRV.RV.ZS TM.TAX.MRCH.BC.ZS NY.TAX.NIND.CD TM.TAX.TCOM.SM.FN.ZS
## X1960 <NA> <NA> 7087544.297 <NA>
## X1961 <NA> <NA> 7350045.938 <NA>
## X1962 <NA> <NA> 8006300.039 <NA>
## X1963 <NA> <NA> 6890092.263 <NA>
## X1964 <NA> <NA> 6913580.247 <NA>
## X1965 <NA> <NA> 10237563.98 <NA>
## X1966 <NA> <NA> 23362646.02 <NA>
## X1967 <NA> <NA> 11943824.65 <NA>
## X1968 <NA> <NA> 11627030.69 <NA>
## X1969 <NA> <NA> 15901234.57 <NA>
## X1970 <NA> <NA> 5432098.765 <NA>
## X1971 <NA> <NA> 16098765.43 <NA>
## X1972 <NA> <NA> 23604938.27 <NA>
## X1973 <NA> <NA> 19892541.27 <NA>
## X1974 <NA> <NA> 36420692.28 <NA>
## X1975 <NA> <NA> 60384176.49 <NA>
## X1976 <NA> <NA> 67235734.33 <NA>
## X1977 <NA> <NA> 82000000 <NA>
## X1978 <NA> <NA> 106174545.8 <NA>
## X1979 <NA> <NA> 119666666.7 <NA>
## X1980 <NA> <NA> 122083325 <NA>
## X1981 <NA> <NA> 153416658.3 <NA>
## X1982 <NA> <NA> 150815928.8 <NA>
## X1983 <NA> <NA> 153455829.8 <NA>
## X1984 <NA> <NA> 156353407.2 <NA>
## X1985 <NA> <NA> 144588476.8 <NA>
## X1986 <NA> <NA> 153835135 <NA>
## X1987 <NA> <NA> 161698856.7 <NA>
## X1988 <NA> <NA> 212740875.1 <NA>
## X1989 <NA> <NA> 187893171.8 <NA>
## X1990 33.01522381 <NA> 198818593.8 <NA>
## X1991 34.01988072 <NA> 206905289.8 <NA>
## X1992 38.11215081 <NA> 166748329.6 <NA>
## X1993 35.84217507 <NA> 202125000 8.78
## X1994 38.38759836 <NA> 247938775.5 <NA>
## X1995 36.44566061 <NA> 286365461.8 <NA>
## X1996 34.83421371 <NA> 280781108.1 <NA>
## X1997 33.83690938 <NA> 314781693.8 <NA>
## X1998 33.92886278 <NA> 305778853.9 9.14
## X1999 33.27528809 <NA> 315761589.4 8.83
## X2000 32.15255895 <NA> 346677283.9 11.58
## X2001 32.49777879 <NA> 382181432.7 <NA>
## X2002 32.3346863 <NA> 382536546.8 11.98
## X2003 31.09697483 <NA> 410335949.2 12.06
## X2004 32.51111674 99.35 488543949.3 12.11
## X2005 33.88101804 99.35 564540713.2 11.91
## X2006 37.03892918 99.35 594070905.2 11.81
## X2007 37.8589833 99.37 737265472.6 11.86
## X2008 37.31062961 99.37 929013185.9 19.2
## X2009 37.94330107 99.37 1024265562 12.2
## X2010 41.47121093 99.37 1467183643 12.02
## X2011 39.63207921 99.37 1703933395 12.27
## X2012 40.03297494 99.37 1727421573 12.08
## X2013 40.67709026 99.42 1955546313 11.8
## X2014 40.62102422 99.42 2138934650 11.75
## X2015 42.09241158 99.42 2382471163 11.86
## X2016 41.73543924 99.42 2508487301 12.15
## X2017 42.59794073 <NA> 3357251910 <NA>
## X2018 45.7311523 99.41 4262858915 15.82
## X2019 47.46473999 99.4 4575218471 27.66
## X2020 34.45891513 99.4 3956454691 13.29
## X2021 <NA> <NA> 5216026828 <NA>
## TM.TAX.MANF.SM.FN.ZS IC.TAX.METG GC.TAX.YPKG.RV.ZS IC.TAX.DURS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> 8.927895175 <NA>
## X1991 <NA> <NA> 6.107355865 <NA>
## X1992 <NA> <NA> 5.976367734 <NA>
## X1993 18.68 <NA> 6.487621574 <NA>
## X1994 <NA> <NA> 9.098619422 <NA>
## X1995 <NA> <NA> 10.17268794 <NA>
## X1996 <NA> <NA> 10.5835932 <NA>
## X1997 <NA> <NA> 11.20716533 <NA>
## X1998 18.12 <NA> 12.44357426 <NA>
## X1999 13.33 <NA> 14.78617157 <NA>
## X2000 13.64 <NA> 15.14506139 <NA>
## X2001 <NA> <NA> 16.10049339 <NA>
## X2002 13.9 <NA> 14.68484374 <NA>
## X2003 14.01 <NA> 10.58062472 <NA>
## X2004 14.07 <NA> 11.43096364 <NA>
## X2005 14.09 <NA> 10.66069016 408
## X2006 12.5 <NA> 10.89461909 408
## X2007 12.57 <NA> 13.43006364 408
## X2008 14.09 <NA> 13.78104232 408
## X2009 12.3 2 14.48691547 338
## X2010 12.22 <NA> 15.63994278 338
## X2011 12.17 <NA> 17.05001515 326
## X2012 12.05 <NA> 17.99702875 326
## X2013 12.19 2.7 19.39667197 334
## X2014 12.23 <NA> 18.68571124 334
## X2015 12.23 <NA> 19.14786994 334
## X2016 11.97 <NA> 21.78746495 339
## X2017 <NA> <NA> 22.14941899 339
## X2018 12.12 <NA> 19.26866565 353
## X2019 13.55 <NA> 21.0622036 377
## X2020 12.19 <NA> 27.23947011 <NA>
## X2021 <NA> <NA> <NA> <NA>
## GC.TAX.TOTL.CN TM.TAX.TCOM.BR.ZS TM.TAX.MANF.BR.ZS TM.TAX.TCOM.SR.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 7235700000 <NA> <NA> <NA>
## X1991 8196000000 <NA> <NA> <NA>
## X1992 9901000000 <NA> <NA> <NA>
## X1993 11691000000 <NA> <NA> 6.546392
## X1994 15402000000 <NA> <NA> <NA>
## X1995 19694000000 <NA> <NA> <NA>
## X1996 21705000000 <NA> <NA> <NA>
## X1997 24471000000 <NA> <NA> <NA>
## X1998 25991000000 <NA> <NA> 25.5
## X1999 28808000000 <NA> <NA> 8.764368
## X2000 33152000000 <NA> <NA> 11.59196
## X2001 38865000000 <NA> <NA> <NA>
## X2002 39331000000 <NA> <NA> 1.727116
## X2003 42586900000 <NA> <NA> 1.727116
## X2004 48173000000 32.41 24.07 1.727116
## X2005 54104800000 32.41 24.07 3.174603
## X2006 57426995000 32.41 24.07 3.369524
## X2007 71126700000 32.32 24.14 2.204783
## X2008 85155400000 32.32 24.14 0
## X2009 117000000000 32.32 24.14 2.204783
## X2010 160000000000 32.32 24.14 2.153031
## X2011 181000000000 32.32 24.14 1.772304
## X2012 212000000000 32.32 24.14 1.862421
## X2013 259000000000 32.62 24.12 3.498542
## X2014 312000000000 32.62 24.12 0
## X2015 356000000000 32.62 24.12 5.678592
## X2016 421000000000 32.62 24.12 5.920496
## X2017 554000000000 <NA> <NA> <NA>
## X2018 659000000000 32.88 24.12 1.49328
## X2019 764000000000 32.88 24.12 1.369142
## X2020 613000000000 32.88 24.12 1.472031
## X2021 <NA> <NA> <NA> <NA>
## TM.TAX.MANF.SR.ZS IC.TAX.PRFT.CP.ZS GC.TAX.EXPT.ZS GC.TAX.OTHR.RV.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> 0.445015686 0.932553208
## X1991 <NA> <NA> 0.951683748 0.842942346
## X1992 <NA> <NA> 1.161498839 0.594221706
## X1993 0.0202306 <NA> 1.20605594 0.475243148
## X1994 <NA> <NA> 2.772367225 0.325118975
## X1995 <NA> <NA> 1.685792627 0.255149207
## X1996 <NA> <NA> 0.691085003 0.334118246
## X1997 <NA> <NA> 0.686526909 0.762450044
## X1998 1.021711 <NA> 0.83490439 1.185620275
## X1999 0.0118245 <NA> 1.312135518 1.336747759
## X2000 0.0168691 <NA> 1.303088803 1.249592524
## X2001 <NA> <NA> 1.268493503 1.143688917
## X2002 0.0085063 <NA> 2.331494241 1.527092699
## X2003 0.0084991 <NA> 2.009068516 1.926546382
## X2004 0.0169578 <NA> 1.094181388 1.957671958
## X2005 0.0686577 19.9 1.289904038 2.032472998
## X2006 0 19.9 1.088832874 2.105980786
## X2007 0 18.8 0.982190935 1.96490974
## X2008 0 20.1 0.523278618 2.031499431
## X2009 0 18.4 0.67816419 1.924778481
## X2010 0 17.6 0.572931634 0.491912393
## X2011 0 17.2 0.161317286 0.523582848
## X2012 0.0454726 17.2 0.406934532 1.020241348
## X2013 0 17.6 0.169394904 1.054504769
## X2014 0 17.6 0.342427439 1.108590276
## X2015 0 17.6 0.088455112 1.22414844
## X2016 0 17.6 0.037893706 1.143084483
## X2017 <NA> 17.6 0.022592088 4.188812407
## X2018 0 16 0.015521019 1.302742504
## X2019 0 15 0.031086925 0.944350687
## X2020 0 <NA> 0.018319488 0.84561214
## X2021 <NA> <NA> <NA> <NA>
## TG.VAL.TOTL.GD.ZS NY.GDP.MKTP.KD NY.GDP.COAL.RT.ZS NY.GDP.PCAP.PP.KD
## X1960 10.81964913 3312006963 <NA> <NA>
## X1961 4.887589561 3375208865 <NA> <NA>
## X1962 5.225651458 3439686156 <NA> <NA>
## X1963 23.54371534 3504872049 <NA> <NA>
## X1964 28.42175934 3768874732 <NA> <NA>
## X1965 22.44082511 3723528046 <NA> <NA>
## X1966 13.89483242 3985688368 <NA> <NA>
## X1967 13.18330455 3923053375 <NA> <NA>
## X1968 13.59700924 3949552951 <NA> <NA>
## X1969 17.62523504 4125838151 <NA> <NA>
## X1970 13.51077783 4232119417 <NA> <NA>
## X1971 15.06628932 4181529368 0 <NA>
## X1972 13.96349642 4311901106 0 <NA>
## X1973 17.17927206 4291353333 0 <NA>
## X1974 16.42098752 4563150075 0 <NA>
## X1975 17.26119145 4629611019 0 <NA>
## X1976 17.96539507 4833246135 0 <NA>
## X1977 18.01215278 4979063887 0 <NA>
## X1978 19.4494012 5198428566 0 <NA>
## X1979 19.60837263 5321572986 0 <NA>
## X1980 21.68643834 5198144730 0 <NA>
## X1981 22.41183596 5631772619 0 <NA>
## X1982 20.16339571 5844618406 0 <NA>
## X1983 22.76094046 5670600395 0 <NA>
## X1984 21.07540845 6219578592 0 <NA>
## X1985 23.39771498 6601765803 0 <NA>
## X1986 21.11699411 6903179359 0 <NA>
## X1987 24.41452994 7020230929 0 <NA>
## X1988 24.92106598 7560564675 0 <NA>
## X1989 21.0199161 7887910507 0 <NA>
## X1990 24.14844744 8253518026 0 1613.071851
## X1991 25.34759816 8779114468 0 1671.583428
## X1992 33.66447434 9139620604 0 1693.721027
## X1993 34.8083469 9491482290 0 1711.571209
## X1994 37.3022803 10271302732 0 1803.696883
## X1995 38.12679366 10627557926 0 1819.966418
## X1996 39.43311518 11193824413 0 1872.311784
## X1997 42.67394737 11758957236 0 1923.780052
## X1998 35.41823863 12113653185 0 1941.145868
## X1999 40.20945164 12648177008 0 1987.825045
## X2000 43.26339436 13432363981 0.003580902 2073.054338
## X2001 36.79007408 14077102964 0.003055141 2136.328983
## X2002 32.8382215 14094015643 0.002557438 2106.152373
## X2003 38.16460418 14650029882 0.002328474 2158.231649
## X2004 37.25629615 15336032658 0.004864822 2229.210718
## X2005 38.69495881 15869600999 0.004762176 2277.63361
## X2006 36.82115004 16403551941 0.007805739 2325.168216
## X2007 38.64175484 16963169002 0.006617356 2375.70189
## X2008 36.10077051 17998709258 0.012369547 2493.88453
## X2009 40.50568563 18814604917 0.006176697 2585.896329
## X2010 37.42503643 19720794305 0.007851147 2697.432423
## X2011 31.02365193 20395606013 0.007641003 2786.843939
## X2012 32.1474716 21348105727 0.00575471 2922.619609
## X2013 33.61578268 22100659154 0.004958637 3033.780787
## X2014 37.30049311 23429236486 0.004321669 3217.44851
## X2015 30.26584262 24360795411 0.003273018 3331.87177
## X2016 39.27157658 24466305357 0.003656839 3315.814414
## X2017 38.26852548 26662713937 0.004472639 3565.197807
## X2018 40.76526117 28695046274 0.004915582 3773.715918
## X2019 38.92799874 30605291409 0.002196459 3952.760349
## X2020 32.03955724 29880062111 0.001886447 3789.150372
## X2021 56.77228995 31149050463 <NA> 3878.44442
## NY.GDP.MINR.RT.ZS NY.GDP.MKTP.KN NY.GDP.DEFL.KD.ZG.AD NV.SRV.TOTL.ZS
## X1960 <NA> 253000000000 <NA> 98.60572937
## X1961 <NA> 258000000000 <NA> 98.61830739
## X1962 <NA> 263000000000 <NA> 98.60539098
## X1963 <NA> 268000000000 <NA> 98.6135182
## X1964 <NA> 288000000000 <NA> 98.60640656
## X1965 <NA> 285000000000 <NA> 23.17029674
## X1966 <NA> 305000000000 <NA> 19.69894718
## X1967 <NA> 300000000000 <NA> 22.52533402
## X1968 <NA> 302000000000 <NA> 21.02328535
## X1969 <NA> 315000000000 <NA> 21.20225324
## X1970 0 324000000000 <NA> 21.04242587
## X1971 0 320000000000 <NA> 22.19736195
## X1972 0 330000000000 <NA> 20.75417607
## X1973 0 328000000000 <NA> 23.03140142
## X1974 0.094538945 349000000000 <NA> 19.8860064
## X1975 0 354000000000 <NA> 19.2987746
## X1976 0 369000000000 <NA> 20.84051926
## X1977 1.034875601 381000000000 <NA> 23.40856424
## X1978 1.081464371 397000000000 <NA> 23.36813558
## X1979 1.580340084 407000000000 <NA> 22.16970505
## X1980 1.445373485 397000000000 <NA> 24.65847007
## X1981 0.365879238 431000000000 <NA> 24.93133757
## X1982 0.179660197 447000000000 <NA> 24.49012584
## X1983 0.627780478 434000000000 <NA> 25.21326955
## X1984 0.192764463 475000000000 <NA> 24.81086271
## X1985 0 505000000000 <NA> 31.35062036
## X1986 0 528000000000 <NA> 30.90768789
## X1987 0 537000000000 <NA> 31.62031818
## X1988 0 578000000000 <NA> 30.9247653
## X1989 0 603000000000 <NA> 31.32554414
## X1990 0 631000000000 10.71588515 30.36957531
## X1991 0 671000000000 12.5446382 33.55304077
## X1992 0 699000000000 18.48909464 33.03381999
## X1993 0 726000000000 10.77490927 35.06107626
## X1994 0 785000000000 4.81598619 33.06987434
## X1995 0 812000000000 6.300861554 33.17805407
## X1996 0 856000000000 7.82303556 33.36949054
## X1997 0 899000000000 7.279092987 33.41912853
## X1998 0 926000000000 4.107850671 35.23442304
## X1999 0 967000000000 8.887047432 34.58437124
## X2000 0 1030000000000 4.472433715 34.71071549
## X2001 0 1080000000000 3.412486587 44.45294585
## X2002 0 1080000000000 3.934857896 43.55295434
## X2003 0 1120000000000 3.070304967 44.12663973
## X2004 0 1170000000000 4.166427154 45.17195188
## X2005 0 1210000000000 6.119390412 45.83415336
## X2006 0 1250000000000 7.360039272 47.93390451
## X2007 0 1300000000000 7.603288946 48.77697585
## X2008 0 1380000000000 5.61985452 49.20432338
## X2009 0 1440000000000 15.90833021 48.61377101
## X2010 0 1510000000000 15.14693244 46.39883791
## X2011 0 1560000000000 26.39730667 47.90291444
## X2012 0 1630000000000 7.741150029 47.98745259
## X2013 0 1690000000000 7.082650999 48.75521701
## X2014 0 1790000000000 8.035366199 49.56401975
## X2015 0 1860000000000 4.409045432 50.53989698
## X2016 0.000142212 1870000000000 7.150334788 51.59804409
## X2017 0 2040000000000 8.261412551 51.84978229
## X2018 0 2190000000000 4.355858465 51.59044347
## X2019 0 2340000000000 4.691155935 52.02271626
## X2020 0 2280000000000 3.21740233 53.93884674
## X2021 <NA> 2380000000000 5.511971478 52.58395192
## ER.GDP.FWTL.M3.KD BX.TRF.PWKR.DT.GD.ZS SL.GDP.PCAP.EM.KD
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> 3438.537947
## X1992 <NA> <NA> 3473.403304
## X1993 <NA> 1.497936602 3498.156199
## X1994 <NA> 1.23238961 3677.60167
## X1995 <NA> 1.291100177 3688.247067
## X1996 <NA> 0.976652461 3794.3203
## X1997 <NA> 1.005512415 3895.0982
## X1998 <NA> 1.390060907 3922.834548
## X1999 <NA> 1.658099124 4010.796896
## X2000 <NA> 2.029360644 4180.486799
## X2001 <NA> 2.446875396 4299.002233
## X2002 1.481204951 11.21301963 4221.191302
## X2003 <NA> 12.18032388 4315.958411
## X2004 <NA> 11.30898998 4442.469201
## X2005 <NA> 14.90510198 4519.497454
## X2006 <NA> 16.06896468 4578.355778
## X2007 1.790103371 16.79181348 4647.737679
## X2008 <NA> 21.73810397 4853.434008
## X2009 <NA> 23.20762544 5002.507378
## X2010 <NA> 21.64698527 5184.357147
## X2011 <NA> 19.54630987 5330.549688
## X2012 2.247855211 22.08212082 5557.784694
## X2013 <NA> 25.19470031 5723.105479
## X2014 <NA> 25.90512496 6031.347043
## X2015 <NA> 27.62609167 6196.548655
## X2016 <NA> 26.96057769 6053.330917
## X2017 2.807458481 23.91354411 6442.269479
## X2018 <NA> 25.02641995 6719.346198
## X2019 <NA> 24.11636286 6947.961423
## X2020 <NA> 24.25023797 7221.739239
## X2021 <NA> <NA> 7132.779194
## SE.XPD.TERT.PC.ZS NY.GDS.TOTL.ZS NY.GDP.MKTP.KD.ZG NY.GDP.DEFL.KD.ZG
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> 1.908265972 2.68799999
## X1962 <NA> <NA> 1.910320031 5.897091004
## X1963 <NA> <NA> 1.895111645 3.569925064
## X1964 <NA> <NA> 7.532448553 1.194719681
## X1965 <NA> <NA> -1.203189018 12.88519396
## X1966 <NA> <NA> 7.040643145 15.21881351
## X1967 <NA> <NA> -1.5714975 -5.667665035
## X1968 <NA> <NA> 0.675483463 11.0658262
## X1969 <NA> <NA> 4.463421603 6.563831079
## X1970 <NA> <NA> 2.575992127 7.048330837
## X1971 <NA> <NA> -1.195383302 3.172176141
## X1972 <NA> <NA> 3.117800364 12.50268334
## X1973 <NA> <NA> -0.476536268 -3.397305595
## X1974 <NA> <NA> 6.333590372 20.82566953
## X1975 <NA> 10.02956925 1.456470709 27.52274698
## X1976 <NA> 11.72818335 4.398536178 0.54404234
## X1977 <NA> 13.49537037 3.016973442 -3.564821564
## X1978 <NA> 13.37928235 4.405741389 9.371206914
## X1979 <NA> 11.63628084 2.368877795 9.978363426
## X1980 <NA> 11.09588545 -2.319394205 7.609546552
## X1981 <NA> 10.89098005 8.341974135 7.937356408
## X1982 <NA> 9.932877822 3.779374654 9.347409674
## X1983 <NA> 8.548577014 -2.977405857 12.2886911
## X1984 <NA> 9.865448055 9.681130016 6.377949973
## X1985 <NA> 14.08577598 6.144905237 11.42183276
## X1986 <NA> 11.62371689 4.565650546 14.39257008
## X1987 <NA> 12.09543718 1.695618266 12.69680187
## X1988 <NA> 11.35744935 7.696808711 11.8153102
## X1989 <NA> 10.29118731 4.329647933 11.25837291
## X1990 <NA> 6.991686006 4.635036347 10.71588515
## X1991 <NA> 8.559918741 6.368150405 12.5446382
## X1992 <NA> 10.9287009 4.106406605 18.48909464
## X1993 <NA> 12.24724218 3.849850027 10.77490927
## X1994 <NA> 9.959352041 8.216002705 4.81598619
## X1995 <NA> 15.65529768 3.468451889 6.300861554
## X1996 <NA> 14.38246926 5.328284176 7.82303556
## X1997 <NA> 13.9608503 5.048612536 7.279092987
## X1998 <NA> 13.77387027 3.016389481 4.107850671
## X1999 <NA> 13.61347928 4.412573275 8.887047432
## X2000 139.46298 15.17228476 6.199999985 4.472433715
## X2001 102.63701 11.66462728 4.799892146 11.01714829
## X2002 77.43354 9.489666248 0.120143179 3.934857896
## X2003 63.42802 8.561179812 3.945037761 3.070304967
## X2004 <NA> 11.74924279 4.682603249 4.166427154
## X2005 <NA> 11.55565976 3.479181044 6.119390412
## X2006 <NA> 8.98307832 3.364614787 7.360039272
## X2007 <NA> 9.817208499 3.411560275 7.603288946
## X2008 47.40814 9.831096072 6.104639147 5.61985452
## X2009 51.51713 9.433665671 4.533078721 15.90833021
## X2010 33.02038 11.45140099 4.816414651 15.14693244
## X2011 31.69426 7.125826025 3.421828238 26.39730667
## X2012 <NA> 9.120633745 4.670122149 7.741150029
## X2013 22.29423 8.178966875 3.525153174 7.082650999
## X2014 26.74935 9.364717232 6.011482841 8.035366199
## X2015 24.16269 7.625269885 3.976053274 4.409045432
## X2016 <NA> 3.642858923 0.433113718 7.150334788
## X2017 <NA> 12.98475515 8.977279354 8.261412551
## X2018 <NA> 14.79161211 7.622376108 4.355858465
## X2019 <NA> 15.30340729 6.657055428 4.691155935
## X2020 <NA> 5.719357472 -2.369620627 3.21740233
## X2021 <NA> 7.708062342 4.246940141 5.511971478
## SH.XPD.CHEX.GD.ZS SE.XPD.PRIM.PC.ZS NY.GDP.PETR.RT.ZS NY.GDP.MKTP.CD
## X1960 <NA> <NA> <NA> 508334414
## X1961 <NA> <NA> <NA> 531959561.6
## X1962 <NA> <NA> <NA> 574091101.2
## X1963 <NA> <NA> <NA> 496947904.4
## X1964 <NA> <NA> <NA> 496098775.3
## X1965 <NA> <NA> <NA> 735267082.3
## X1966 <NA> <NA> <NA> 906811943.8
## X1967 <NA> <NA> <NA> 841974025.5
## X1968 <NA> <NA> <NA> 772228643.4
## X1969 <NA> <NA> <NA> 788641965.4
## X1970 <NA> <NA> <NA> 865975308.6
## X1971 <NA> <NA> 0 882765471.6
## X1972 <NA> <NA> 0 1024098805
## X1973 <NA> <NA> 0 972101725
## X1974 <NA> <NA> 0 1217953547
## X1975 <NA> <NA> 0 1575789254
## X1976 <NA> <NA> 0 1452792989
## X1977 <NA> <NA> 0 1382400000
## X1978 <NA> <NA> 0 1604162497
## X1979 <NA> <NA> 0 1851250008
## X1980 <NA> <NA> 0 1945916583
## X1981 <NA> <NA> 0 2275583317
## X1982 <NA> <NA> 0 2395429852
## X1983 <NA> <NA> 0 2447174803
## X1984 <NA> <NA> 0 2581207388
## X1985 <NA> <NA> 0 2619913956
## X1986 <NA> <NA> 0 2850784523
## X1987 <NA> <NA> 0 2957255380
## X1988 <NA> <NA> 0 3487009748
## X1989 <NA> <NA> 0 3525228153
## X1990 <NA> <NA> 0 3627562403
## X1991 <NA> <NA> 0 3921476085
## X1992 <NA> <NA> 0 3401211581
## X1993 <NA> <NA> 0 3660041667
## X1994 <NA> <NA> 0 4066775510
## X1995 <NA> <NA> 0 4401104418
## X1996 <NA> <NA> 0 4521580381
## X1997 <NA> <NA> 0 4918691917
## X1998 <NA> <NA> 0 4856255044
## X1999 <NA> 8.98008 0 5033642384
## X2000 3.12598538 10.18187 0 5494252208
## X2001 3.80386233 13.56601 0 6007055042
## X2002 3.92991233 11.79508 0 6050875807
## X2003 3.84753466 11.06862 0 6330473097
## X2004 4.03734398 <NA> 0 7273938315
## X2005 3.94221067 <NA> 0 8130258041
## X2006 3.5361805 <NA> 0 9043715356
## X2007 3.66484332 <NA> 0 10325618017
## X2008 3.80911303 14.17214 0 12545438605
## X2009 3.89314747 16.37681 0 12854985464
## X2010 4.35166264 11.09709 0 16002656434
## X2011 4.44234991 11.42569 0 21573862467
## X2012 4.49078512 11.53445 0 21703106502
## X2013 4.63011789 11.22594 0 22162208956
## X2014 5.07548285 13.05722 0 22731602970
## X2015 5.46615076 12.35956 0 24360795411
## X2016 5.42379808 <NA> 0 24524098185
## X2017 4.72173262 <NA> 0 28971589213
## X2018 4.5284524 <NA> 0 33111525872
## X2019 4.44515085 <NA> 0 34186190996
## X2020 <NA> <NA> 0 33433670512
## X2021 <NA> <NA> <NA> 36288830373
## NE.DAB.TOTL.ZS SH.XPD.GHED.GD.ZS SE.XPD.TOTL.GD.ZS PA.NUS.PPPC.RF
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 104.4656328 <NA> <NA> <NA>
## X1976 103.4034713 <NA> <NA> <NA>
## X1977 102.5289346 <NA> <NA> <NA>
## X1978 104.9006688 <NA> <NA> <NA>
## X1979 104.1818595 <NA> <NA> <NA>
## X1980 107.1902705 <NA> <NA> <NA>
## X1981 106.716227 <NA> <NA> <NA>
## X1982 107.2156959 <NA> <NA> <NA>
## X1983 111.0841235 <NA> <NA> <NA>
## X1984 108.7966496 <NA> <NA> <NA>
## X1985 108.4703568 <NA> <NA> <NA>
## X1986 108.6404422 <NA> <NA> <NA>
## X1987 109.093339 <NA> <NA> <NA>
## X1988 110.9346995 <NA> <NA> <NA>
## X1989 111.2157188 <NA> <NA> <NA>
## X1990 111.1341359 <NA> <NA> 0.240461492
## X1991 111.6935526 <NA> <NA> 0.236387594
## X1992 109.7759609 <NA> <NA> 0.192550748
## X1993 110.323653 <NA> <NA> 0.194902573
## X1994 112.4441969 <NA> <NA> 0.19593583
## X1995 109.5442004 <NA> <NA> 0.200726551
## X1996 112.8226185 <NA> <NA> 0.192268671
## X1997 111.3798647 <NA> <NA> 0.195727703
## X1998 111.0654988 <NA> 2.892879963 0.185497054
## X1999 106.8700371 <NA> 2.89331007 0.181588186
## X2000 109.1425816 0.48485136 2.975150108 0.182498777
## X2001 110.6784189 0.58291328 3.708379984 0.173443968
## X2002 110.7565449 0.79097205 3.152839899 0.171821678
## X2003 112.8481991 0.65877509 3.11435008 0.169591614
## X2004 112.7819068 0.64549148 3.171940088 0.181283719
## X2005 114.8954983 0.7515617 3.364639997 0.189858914
## X2006 117.8688245 0.84521472 3.605360031 0.198200034
## X2007 118.8680423 0.67676955 3.517210007 0.213070182
## X2008 120.4845509 0.70963746 3.805170059 0.239390819
## X2009 122.2407114 0.79475653 4.663760185 0.233165742
## X2010 126.8198055 0.78889084 3.631720066 0.273632534
## X2011 120.6844804 0.79485244 3.842619896 0.34943018
## X2012 119.4820715 0.78674686 3.29008007 0.320964411
## X2013 121.4976421 0.75677407 3.018110037 0.304697013
## X2014 121.621371 0.87364477 3.47213006 0.286651647
## X2015 123.6521649 0.90927666 3.25902009 0.300962369
## X2016 124.5981403 1.00771809 3.903209925 0.30087671
## X2017 124.3402989 1.06542468 4.76722002 0.294080108
## X2018 124.7561882 1.0672121 4.43445015 0.305011772
## X2019 126.0753336 1.10280871 4.239999771 0.290067383
## X2020 124.720924 <NA> 4.389999866 0.287107335
## X2021 128.0741502 <NA> <NA> 0.287004178
## NY.GDP.MKTP.PP.KD NY.GDP.DEFL.ZS.AD NE.GDI.TOTL.ZS GC.TAX.TOTL.GD.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> 6.444127212 <NA>
## X1966 <NA> <NA> 4.834273995 <NA>
## X1967 <NA> <NA> 4.988308574 <NA>
## X1968 <NA> <NA> 5.687996496 <NA>
## X1969 <NA> <NA> 4.846587412 <NA>
## X1970 <NA> <NA> 5.964872263 <NA>
## X1971 <NA> <NA> 7.75341205 <NA>
## X1972 <NA> <NA> 7.329539692 <NA>
## X1973 <NA> <NA> 9.178452837 <NA>
## X1974 <NA> <NA> 8.760150248 <NA>
## X1975 <NA> <NA> 14.49520203 <NA>
## X1976 <NA> <NA> 15.13165468 <NA>
## X1977 <NA> <NA> 16.02430498 <NA>
## X1978 <NA> <NA> 18.27995111 <NA>
## X1979 <NA> <NA> 15.81814037 <NA>
## X1980 <NA> <NA> 18.28615598 <NA>
## X1981 <NA> <NA> 17.60720707 <NA>
## X1982 <NA> <NA> 17.14857376 <NA>
## X1983 <NA> <NA> 19.63270053 <NA>
## X1984 <NA> <NA> 18.66209766 <NA>
## X1985 <NA> <NA> 22.55613274 <NA>
## X1986 <NA> <NA> 20.26415907 <NA>
## X1987 <NA> <NA> 21.18877615 <NA>
## X1988 <NA> <NA> 22.29214886 <NA>
## X1989 <NA> <NA> 21.50690609 <NA>
## X1990 30495897615 17.59519716 18.12582192 6.996692968
## X1991 32437922242 19.80245098 20.2534713 6.620301936
## X1992 33769955223 23.46374489 20.70466177 6.483344072
## X1993 35070047854 25.99194211 22.57089514 6.654637356
## X1994 37951403934 27.24371045 22.40354892 7.729134048
## X1995 39267730121 28.96029893 25.19949812 8.985513859
## X1996 41360026371 31.22587341 27.20508772 8.719914187
## X1997 43448133848 33.49883377 25.34071505 8.723659866
## X1998 44758698786 34.87491584 24.83936911 8.639332547
## X1999 46733709167 37.97426616 20.48351636 8.422505233
## X2000 49631199129 39.67264004 24.31486635 8.735981111
## X2001 52013443158 41.02646356 22.34304622 8.802574747
## X2002 52075933762 42.6407966 20.24621117 8.560583141
## X2003 54130349013 43.9499991 21.40937893 8.651811853
## X2004 56665058494 45.78114379 24.53114957 8.9749585
## X2005 58636538468 48.58267072 26.4511581 9.179453421
## X2006 60609432112 52.15837436 26.85190281 8.77975841
## X2007 62677159421 56.12412627 28.68525075 9.772473404
## X2008 66503373831 59.27822052 30.315647 10.44008641
## X2009 69518024119 68.70839558 31.67437709 11.84403686
## X2010 72866300418 79.11560985 38.27120645 13.39611544
## X2011 75359660061 100 27.81030642 11.62467555
## X2012 78879048237 107.74115 28.60270524 12.04080455
## X2013 81659655509 115.3720797 29.67660902 13.29788586
## X2014 86568611688 124.6426488 30.98608823 13.99491049
## X2015 90010625807 130.1381998 31.27743482 14.68630457
## X2016 90400474175 139.4435167 28.2409992 16.14374976
## X2017 98515977279 150.9635209 37.32505401 17.99936212
## X2018 106000000000 157.5392782 39.54780033 19.08282606
## X2019 113000000000 164.9296914 41.37874091 19.80906024
## X2020 110000000000 170.2361432 30.44028151 15.77364973
## X2021 115000000000 179.6195108 35.7822125 <NA>
## FS.AST.DOMS.GD.ZS FM.AST.PRVT.GD.ZS EN.ATM.CO2E.KD.GD NY.GDP.PCAP.PP.CD
## X1960 <NA> 1.045701034 <NA> <NA>
## X1961 <NA> 1.226252189 <NA> <NA>
## X1962 <NA> 1.252857767 <NA> <NA>
## X1963 <NA> 1.234835355 <NA> <NA>
## X1964 <NA> 1.499104091 <NA> <NA>
## X1965 <NA> 1.893966474 <NA> <NA>
## X1966 <NA> 1.788970856 <NA> <NA>
## X1967 <NA> 1.920498801 <NA> <NA>
## X1968 <NA> 2.215251576 <NA> <NA>
## X1969 <NA> 2.414527269 <NA> <NA>
## X1970 <NA> 2.869525547 <NA> <NA>
## X1971 <NA> 3.839785015 <NA> <NA>
## X1972 <NA> 3.515285813 <NA> <NA>
## X1973 <NA> 4.790851448 <NA> <NA>
## X1974 <NA> 4.886008935 <NA> <NA>
## X1975 <NA> 4.412527963 <NA> <NA>
## X1976 <NA> 3.625962997 <NA> <NA>
## X1977 <NA> 4.788194444 <NA> <NA>
## X1978 <NA> 5.703932467 <NA> <NA>
## X1979 <NA> 6.419986467 <NA> <NA>
## X1980 <NA> 8.573937244 <NA> <NA>
## X1981 <NA> 9.190317568 <NA> <NA>
## X1982 <NA> 8.631728634 <NA> <NA>
## X1983 <NA> 8.095971564 <NA> <NA>
## X1984 <NA> 8.485910323 <NA> <NA>
## X1985 <NA> 9.852316146 <NA> <NA>
## X1986 <NA> 10.58161654 <NA> <NA>
## X1987 <NA> 10.45158462 <NA> <NA>
## X1988 <NA> 11.78620654 <NA> <NA>
## X1989 <NA> 13.04865071 <NA> <NA>
## X1990 <NA> 12.8086563 0.113638794 856.6407557
## X1991 <NA> 13.35385013 0.134112471 917.7343875
## X1992 <NA> 13.4183155 0.134281075 951.0797168
## X1993 <NA> 14.57309798 0.148225505 983.8845862
## X1994 <NA> 18.55012245 0.169029142 1058.983355
## X1995 <NA> 22.83143607 0.177445991 1090.941625
## X1996 <NA> 23.19776388 0.174709069 1142.868284
## X1997 <NA> 23.88507426 0.185828864 1194.5345
## X1998 <NA> 28.66308232 0.191095613 1218.88372
## X1999 <NA> 28.87594825 0.246129986 1265.78446
## X2000 <NA> 30.67062082 0.239189047 1349.962286
## X2001 <NA> 29.41591045 0.245954094 1422.508725
## X2002 <NA> 22.86890082 0.197518292 1424.272228
## X2003 <NA> 26.14257403 0.205686742 1488.295004
## X2004 <NA> 27.09733041 0.18282314 1578.507295
## X2005 <NA> 28.72615081 0.200568415 1663.370047
## X2006 <NA> 33.15138628 0.159368051 1750.480683
## X2007 <NA> 37.28150565 0.158227934 1836.859826
## X2008 <NA> 51.65264553 0.165755403 1965.219302
## X2009 <NA> 59.17845463 0.205766415 2050.786913
## X2010 <NA> 54.58998779 0.23476397 2164.951653
## X2011 <NA> 46.42464435 0.254392672 2283.18558
## X2012 <NA> 48.75434965 0.281055382 2505.39181
## X2013 <NA> 50.46227084 0.275557392 2702.224963
## X2014 <NA> 54.4670476 0.30432063 2947.316487
## X2015 <NA> 56.90827406 0.265180175 2996.220462
## X2016 <NA> 69.84080011 0.381749507 2989.675006
## X2017 <NA> 68.55708521 0.41368632 3565.197807
## X2018 <NA> 76.32460801 0.419236125 3863.870402
## X2019 <NA> 78.9459109 <NA> 4119.584979
## X2020 <NA> 88.44003947 <NA> 3996.66547
## X2021 <NA> <NA> <NA> 4260.839694
## NY.GDP.FRST.RT.ZS NE.GDI.FTOT.ZS SE.XPD.SECO.PC.ZS NY.GDP.MKTP.CN.AD
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 1.547335521 <NA> <NA> <NA>
## X1971 1.402280908 <NA> <NA> <NA>
## X1972 1.17495854 <NA> <NA> <NA>
## X1973 2.113309698 <NA> <NA> <NA>
## X1974 1.94522473 <NA> <NA> <NA>
## X1975 3.43610027 13.41500288 <NA> <NA>
## X1976 2.285661967 14.04507367 <NA> <NA>
## X1977 8.137812406 14.93634201 <NA> <NA>
## X1978 6.973654045 16.69369535 <NA> <NA>
## X1979 2.571233029 14.68827407 <NA> <NA>
## X1980 2.997478812 15.7637791 <NA> <NA>
## X1981 2.242164706 15.74321541 <NA> <NA>
## X1982 3.151933341 17.63585917 <NA> <NA>
## X1983 2.087802599 19.47867299 <NA> <NA>
## X1984 1.672256707 17.53490723 <NA> <NA>
## X1985 1.152462424 20.84317177 <NA> <NA>
## X1986 1.846370848 18.16811428 <NA> <NA>
## X1987 1.680118445 19.50864337 <NA> <NA>
## X1988 1.521723512 19.92172262 <NA> <NA>
## X1989 1.488703917 18.12051216 <NA> <NA>
## X1990 1.746703903 16.12032954 <NA> 111000000000
## X1991 1.596161254 18.40049757 <NA> 133000000000
## X1992 1.887355667 19.17108013 <NA> 164000000000
## X1993 1.523479997 21.21902073 <NA> 189000000000
## X1994 1.200027148 21.09277771 <NA> 214000000000
## X1995 1.388811488 22.06912285 <NA> 235000000000
## X1996 1.326249219 22.53036201 <NA> 267000000000
## X1997 1.090667424 21.67243586 <NA> 301000000000
## X1998 1.271680096 21.73045921 <NA> 323000000000
## X1999 1.394818469 19.08249424 12.99079 367000000000
## X2000 1.16343889 19.32182309 11.39166 407000000000
## X2001 1.057559999 19.19511668 13.49722 442000000000
## X2002 1.139219606 19.56477735 10.48057 459000000000
## X2003 1.207725045 19.92418194 9.32593 492000000000
## X2004 0.896832452 20.34116505 <NA> 537000000000
## X2005 0.78790577 19.94173855 <NA> 589000000000
## X2006 1.074015242 20.720886 <NA> 654000000000
## X2007 1.350313271 21.06778122 <NA> 728000000000
## X2008 1.062004323 21.87755162 10.52313 816000000000
## X2009 0.998674343 21.35434374 12.27842 988000000000
## X2010 1.464463107 22.20772753 11.05385 1190000000000
## X2011 1.106345791 23.98238273 11.58327 1560000000000
## X2012 0.955331469 23.9904074 10.77751 1760000000000
## X2013 0.828729868 24.73023144 9.68304 1950000000000
## X2014 0.856372465 25.25208469 11.22859 2230000000000
## X2015 0.931579562 27.55380746 10.45324 2420000000000
## X2016 1.027379417 28.70522169 <NA> 2610000000000
## X2017 0.698704855 30.5754364 <NA> 3080000000000
## X2018 0.419137823 32.43288003 <NA> 3460000000000
## X2019 0.440770893 33.81512568 <NA> 3860000000000
## X2020 0.51215662 30.46922052 <NA> 3890000000000
## X2021 <NA> 29.85192976 <NA> 4280000000000
## NV.IND.MANF.ZS NE.TRD.GNFS.ZS GC.REV.XGRT.GD.ZS GB.XPD.RSDV.GD.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 3.284541294 21.688683 <NA> <NA>
## X1966 3.430308194 14.40150487 <NA> <NA>
## X1967 3.41387368 13.82696783 <NA> <NA>
## X1968 3.568938978 14.34546175 <NA> <NA>
## X1969 3.844708877 17.2323108 <NA> <NA>
## X1970 3.683850365 13.20711679 <NA> <NA>
## X1971 3.759230085 14.53345202 <NA> <NA>
## X1972 3.94444965 13.57893669 <NA> <NA>
## X1973 4.002407303 16.98264552 <NA> <NA>
## X1974 4.106808405 15.99781527 <NA> <NA>
## X1975 4.007000229 22.26781875 <NA> <NA>
## X1976 3.966885156 24.95113214 <NA> <NA>
## X1977 4.259259259 26.10532292 <NA> <NA>
## X1978 4.023920372 26.0439879 <NA> <NA>
## X1979 3.817240586 27.75151912 <NA> <NA>
## X1980 4.008393816 30.27279561 <NA> <NA>
## X1981 3.841505869 32.51913562 <NA> <NA>
## X1982 4.01123058 30.39886389 <NA> <NA>
## X1983 4.32464455 31.54620972 <NA> <NA>
## X1984 4.61030729 30.10154981 <NA> <NA>
## X1985 5.39003134 31.52878547 <NA> <NA>
## X1986 5.837700093 31.96504199 <NA> <NA>
## X1987 5.856194413 32.71988914 <NA> <NA>
## X1988 6.000832185 33.82903805 <NA> <NA>
## X1989 5.440858529 33.35092809 <NA> <NA>
## X1990 5.759263557 32.18875416 8.44530827 <NA>
## X1991 6.376362065 34.67505513 8.408655827 <NA>
## X1992 8.396064811 41.69541314 8.510657803 <NA>
## X1993 8.320715839 47.18958118 8.141414601 <NA>
## X1994 8.963125778 50.43207274 9.448893974 <NA>
## X1995 8.922094217 59.4905184 10.54226075 <NA>
## X1996 9.025643498 58.4577687 10.6868665 <NA>
## X1997 8.846648818 64.03553489 10.44265328 <NA>
## X1998 8.97040004 56.70960129 10.42762885 <NA>
## X1999 8.869534201 52.56698125 10.14893169 <NA>
## X2000 8.840859263 55.710589 10.62036217 <NA>
## X2001 8.699294828 55.79992108 10.4516561 <NA>
## X2002 8.213423646 46.2307185 10.50293508 <NA>
## X2003 7.887760015 44.24788362 10.90520508 <NA>
## X2004 7.763964162 46.14728672 11.13753356 <NA>
## X2005 7.615216521 44.06294748 11.54794948 <NA>
## X2006 7.314045291 44.76198776 10.7436739 <NA>
## X2007 7.168186946 44.57927502 11.86918045 <NA>
## X2008 7.01090408 46.03620635 12.30038815 0.054389998
## X2009 6.622367122 47.07944776 14.12985494 0.259240001
## X2010 5.946139 45.98490577 14.89835577 0.30219999
## X2011 5.396901505 36.29675203 13.05668861 <NA>
## X2012 5.785222834 37.92190606 13.89090147 <NA>
## X2013 5.750414306 41.86537574 15.16888016 <NA>
## X2014 5.61219116 45.98264161 16.23388567 <NA>
## X2015 5.356055555 46.66573039 16.99260634 <NA>
## X2016 4.888189626 42.11548612 18.57593366 <NA>
## X2017 4.855673994 44.64241062 19.93732837 <NA>
## X2018 4.906474539 48.44738695 22.0168966 <NA>
## X2019 4.981441388 49.24952659 22.40134791 <NA>
## X2020 4.474854392 40.91886559 19.36542667 <NA>
## X2021 4.66559835 43.81122818 <NA> <NA>
## EG.USE.COMM.GD.PP.KD GC.NLD.TOTL.GD.ZS BN.CAB.XOKA.GD.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> 1.275887214
## X1977 <NA> <NA> -0.11400463
## X1978 <NA> <NA> -1.604629643
## X1979 <NA> <NA> -0.614449693
## X1980 <NA> <NA> -1.996488459
## X1981 <NA> <NA> -0.839598813
## X1982 <NA> <NA> -3.565735498
## X1983 <NA> <NA> -5.948536687
## X1984 <NA> <NA> -3.687012193
## X1985 <NA> <NA> -4.641834691
## X1986 <NA> <NA> -4.181623378
## X1987 <NA> <NA> -4.170531195
## X1988 <NA> <NA> -7.784623235
## X1989 <NA> <NA> -6.901330037
## X1990 189.8343204 <NA> -7.972197628
## X1991 184.2496247 <NA> -7.762580647
## X1992 181.293933 <NA> -5.330988052
## X1993 179.1825328 <NA> -6.079190386
## X1994 171.452208 <NA> -8.652643525
## X1995 170.9215679 <NA> -8.097740688
## X1996 166.1770701 <NA> -7.223149767
## X1997 163.3053568 <NA> -7.890015129
## X1998 162.6418372 <NA> -1.383662254
## X1999 164.3393631 <NA> -1.563038657
## X2000 163.3592406 <NA> -2.377936958
## X2001 161.0080105 <NA> -2.741571051
## X2002 162.5980446 <NA> 3.556296775
## X2003 160.8520388 <NA> 2.847594088
## X2004 155.8713118 <NA> 1.374222036
## X2005 155.7325899 <NA> 1.883023964
## X2006 150.6528387 <NA> 1.659501804
## X2007 148.5078629 <NA> 0.054810111
## X2008 144.859989 <NA> 5.845485641
## X2009 142.6778325 <NA> 0.166582496
## X2010 140.1279321 -1.373379618 -0.797465993
## X2011 140.2401761 -0.877136702 1.337751414
## X2012 128.0725392 -0.543385074 2.660706191
## X2013 137.5526621 1.502004198 5.231372775
## X2014 135.033874 1.563383459 2.182983373
## X2015 <NA> 0.92949613 10.04331081
## X2016 <NA> 1.176663768 -0.684346954
## X2017 <NA> -2.385815315 -3.564329207
## X2018 <NA> -4.754252712 -8.300804944
## X2019 <NA> -4.793705761 -5.129629145
## X2020 <NA> -4.896852861 -0.251653458
## X2021 <NA> <NA> -14.8229695
## BG.GSR.NFSV.GD.ZS NE.CON.PRVT.ZS GC.LBL.TOTL.GD.ZS FS.AST.PRVT.GD.ZS
## X1960 <NA> <NA> <NA> 1.045701034
## X1961 <NA> <NA> <NA> 1.226252189
## X1962 <NA> <NA> <NA> 1.252857767
## X1963 <NA> <NA> <NA> 1.234835355
## X1964 <NA> <NA> <NA> 1.499104091
## X1965 <NA> <NA> <NA> 1.893966474
## X1966 <NA> <NA> <NA> 1.788970856
## X1967 <NA> <NA> <NA> 1.920498801
## X1968 <NA> <NA> <NA> 2.215251576
## X1969 <NA> <NA> <NA> 2.414527269
## X1970 <NA> <NA> <NA> 2.869525547
## X1971 <NA> <NA> <NA> 3.839785015
## X1972 <NA> <NA> <NA> 3.515285813
## X1973 <NA> <NA> <NA> 4.790851448
## X1974 <NA> <NA> <NA> 4.886008935
## X1975 <NA> 82.38489026 <NA> 4.412527963
## X1976 7.168953968 80.83246971 <NA> 3.625962997
## X1977 8.554516654 79.21296296 <NA> 4.788194444
## X1978 9.741827845 79.16582185 <NA> 5.703932467
## X1979 10.03404667 79.86045609 <NA> 6.419986467
## X1980 12.47307644 82.20204626 <NA> 8.573937244
## X1981 10.96158278 82.0705316 <NA> 9.190317568
## X1982 10.24144656 81.55414887 <NA> 8.631728634
## X1983 10.58418544 81.33293957 <NA> 8.095971564
## X1984 10.02260985 80.88347278 <NA> 8.485910323
## X1985 10.42389316 76.5315773 <NA> 9.852316146
## X1986 10.18303569 79.28684229 <NA> 10.58161654
## X1987 11.79922946 78.82746148 <NA> 10.45158462
## X1988 10.74343964 79.67706031 <NA> 11.78620654
## X1989 9.951683405 79.68629647 <NA> 13.04865071
## X1990 10.2466616 84.34524445 6.781542508 12.8086563
## X1991 10.80699873 82.48619559 <NA> 13.35385013
## X1992 14.66563099 81.27373712 <NA> 13.4183155
## X1993 15.98444643 79.27152469 <NA> 14.57309798
## X1994 21.53678301 82.01794532 <NA> 18.55012245
## X1995 22.54707354 75.09775353 <NA> 22.83143607
## X1996 22.12225159 76.37012301 <NA> 23.19776388
## X1997 22.16537207 77.13154114 3.062603159 23.88507426
## X1998 15.67691779 76.91402549 3.497814489 28.66308232
## X1999 17.23485544 77.46085207 3.484720907 28.87594825
## X2000 12.84759849 75.87776162 3.188506619 30.67062082
## X2001 10.45461702 80.23060493 3.024561512 29.41591045
## X2002 8.957206225 82.11190348 2.016354586 22.86890082
## X2003 10.08272647 82.77378284 0.785586442 26.14257403
## X2004 11.62882567 79.60667962 0.454961257 27.09733041
## X2005 10.02524244 79.54513222 0.792467748 28.72615081
## X2006 9.71435029 82.33393907 0.884244226 33.15138628
## X2007 11.95010456 80.98431439 1.537947891 37.28150565
## X2008 12.55762563 80.27958757 1.604765723 51.65264553
## X2009 12.03019197 79.78721684 3.133793126 59.17845463
## X2010 9.627177654 78.55601031 1.903550966 54.58998779
## X2011 7.627863336 84.67689704 1.517172468 46.42464435
## X2012 8.387897332 82.98298 -0.516168021 48.75434965
## X2013 9.800841032 84.28669551 -1.802198963 50.46227084
## X2014 11.37464152 82.63414132 -0.174482593 54.4670476
## X2015 10.80139608 83.56273312 0.144269512 56.90827406
## X2016 10.62254497 88.43112259 2.179567295 69.84080011
## X2017 11.10788401 78.49670653 2.281116159 68.55708521
## X2018 10.63264386 77.14685161 5.633109835 76.32460801
## X2019 9.75019134 76.5794975 4.002321623 78.9459109
## X2020 5.918168268 85.21291046 8.045683808 88.44003947
## X2021 6.369454769 83.89271823 <NA> <NA>
## BM.KLT.DINV.WD.GD.ZS NY.GDP.PCAP.KD NY.GDP.FCST.CN FS.AST.CGOV.GD.ZS
## X1960 <NA> 327.7572783 3818999800 0.002581978
## X1961 <NA> 328.7351119 3996999900 -0.157907727
## X1962 <NA> 329.6882672 4312999900 -0.038866026
## X1963 <NA> 330.5042565 4552000000 -0.353119584
## X1964 <NA> 349.4890032 4952999900 -0.806291045
## X1965 <NA> 339.3381853 5523999900 -0.403427355
## X1966 <NA> 356.7400014 6731000200 0.406715866
## X1967 <NA> 344.6424877 6324000100 0.5674201
## X1968 <NA> 340.3636539 7065000200 -2.371392657
## X1969 <NA> 348.6233822 7823999900 -2.623669413
## X1970 <NA> 350.496878 8713000000 -2.281021898
## X1971 <NA> 339.3001296 8775000400 -0.735484382
## X1972 <NA> 342.672848 10130000400 0.012482486
## X1973 <NA> 333.9001621 9765000400 0.216202118
## X1974 <NA> 347.5028348 12424999500 0.711847237
## X1975 <NA> 344.9690325 15935999800 1.34958352
## X1976 0 352.2911267 16588999900 3.014832718
## X1977 0 354.9240093 16255000000 4.484375
## X1978 0 362.3190891 18426000800 4.330022123
## X1979 0 362.5807482 20779000100 4.76209766
## X1980 0 346.1643244 21885999100 5.426407527
## X1981 0 366.4793841 25465999900 4.934714158
## X1982 0 371.5721443 29036999200 7.93533001
## X1983 0 352.1975762 31643000100 12.4721564
## X1984 0 377.4591486 37003999200 13.40213283
## X1985 0 391.6029451 44015000000 14.44167776
## X1986 0 400.4239383 52717000000 13.689972
## X1987 0 398.3404237 60372000000 13.13024552
## X1988 0 419.5476091 72214000000 12.63659532
## X1989 0 427.6444308 84511000000 13.37485577
## X1990 0 436.567494 97748000000 13.20656378
## X1991 0 452.403275 117000000000 13.21402897
## X1992 0 458.3946735 145000000000 12.80907367
## X1993 0 463.22571 166000000000 12.41498845
## X1994 0 488.1589295 187000000000 10.17418403
## X1995 0 492.5621745 205000000000 10.34269419
## X1996 0 506.7291102 233000000000 9.801135336
## X1997 0 520.6586649 263000000000 9.753740877
## X1998 0 525.3586111 282000000000 9.325067726
## X1999 0 537.9920293 321000000000 9.382202794
## X2000 0 561.0587877 356000000000 9.594466508
## X2001 0 578.1836624 413000000000 10.88810436
## X2002 <NA> 570.0165574 430000000000 9.995384193
## X2003 <NA> 584.1114778 460000000000 10.58167243
## X2004 <NA> 603.3215051 501000000000 11.0317345
## X2005 <NA> 616.4268484 548000000000 10.65244413
## X2006 <NA> 629.2917831 611000000000 9.976367737
## X2007 <NA> 642.968396 676000000000 11.36417108
## X2008 <NA> 674.9537655 755000000000 11.50913315
## X2009 <NA> 699.8561654 910000000000 8.474245342
## X2010 0 730.04269 1080000000000 11.18802488
## X2011 0 754.2413402 1440000000000 10.62738854
## X2012 0 790.9881496 1620000000000 8.791581518
## X2013 0 821.0732055 1780000000000 8.04920887
## X2014 0 870.7816903 2020000000000 5.761101762
## X2015 0 901.7496077 2190000000000 6.65579499
## X2016 0 897.4037881 2340000000000 1.482233943
## X2017 0 964.8977952 2720000000000 2.566531806
## X2018 0 1021.331877 3010000000000 9.613530164
## X2019 0 1069.789098 3340000000000 9.632236558
## X2020 0 1025.509112 3430000000000 13.67885106
## X2021 <NA> 1049.675971 3660000000000 <NA>
## EN.ATM.CO2E.PP.GD EG.GDP.PUSE.KO.PP.KD EG.EGY.PRIM.PP.KD
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 0.058041872 5.267751362 <NA>
## X1991 0.066258261 5.427419467 <NA>
## X1992 0.064863382 5.515904385 <NA>
## X1993 0.069941279 5.580901131 <NA>
## X1994 0.078090072 5.832529145 <NA>
## X1995 0.080719723 5.850636712 <NA>
## X1996 0.077634946 6.017677407 <NA>
## X1997 0.081176385 6.123497843 <NA>
## X1998 0.082547976 6.14847949 <NA>
## X1999 0.104843797 6.084969426 <NA>
## X2000 0.099630005 6.121478016 6.83
## X2001 0.099901886 6.210871106 6.73
## X2002 0.079225304 6.150135461 6.79
## X2003 0.08090496 6.216893534 6.72
## X2004 0.070031834 6.415548753 6.51
## X2005 0.074493324 6.421263529 6.51
## X2006 0.057419329 6.637777347 6.29
## X2007 0.055508426 6.733650194 6.21
## X2008 0.057054885 6.903217424 6.05
## X2009 0.070376051 7.00879725 5.96
## X2010 0.07934026 7.136335952 5.85
## X2011 0.084223994 7.130624245 5.86
## X2012 0.088733217 7.808075064 5.39
## X2013 0.083728335 7.269942907 5.86
## X2014 0.089911225 7.40554922 5.72
## X2015 0.088827947 <NA> 5.47
## X2016 0.127716277 <NA> 5.93
## X2017 0.126679955 <NA> 5.76
## X2018 0.139924952 <NA> 5.68
## X2019 0.114122286 <NA> 5.23
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## GC.NFN.TOTL.GD.ZS FM.LBL.BMNY.GD.ZS NY.GDP.PCAP.KD.ZG NY.GDP.FCST.KD
## X1960 <NA> 5.411825598 <NA> <NA>
## X1961 <NA> 6.323710988 0.298340759 <NA>
## X1962 <NA> 6.097393551 0.289946307 <NA>
## X1963 <NA> 7.259532062 0.247503293 <NA>
## X1964 <NA> 8.333664974 5.744176171 <NA>
## X1965 <NA> 9.378793456 -2.904474203 3686900953
## X1966 <NA> 8.046026688 5.128163241 3942894641
## X1967 <NA> 9.378020119 -3.391129021 3883721670
## X1968 <NA> 10.00975854 -1.24152822 3906404576
## X1969 <NA> 11.55165951 2.426736294 4059550032
## X1970 <NA> 10.50752737 0.537398192 4223262069
## X1971 <NA> 12.28127043 -3.194535849 4122527100
## X1972 <NA> 12.37245588 0.994022145 4230165653
## X1973 <NA> 16.4891156 -2.560076152 4221289620
## X1974 <NA> 15.02888878 4.07387424 4445442468
## X1975 <NA> 13.0336131 -0.729145815 4470943244
## X1976 <NA> 15.95032779 2.122536677 4629019828
## X1977 <NA> 19.4369213 0.747359903 4703408606
## X1978 <NA> 20.3588072 2.083567067 4874587454
## X1979 <NA> 20.98672059 0.072217859 4998287522
## X1980 <NA> 23.46409248 -4.527660079 4892480325
## X1981 <NA> 23.87812666 5.868617377 5274146242
## X1982 <NA> 25.45178845 1.389644405 5499708027
## X1983 <NA> 28.06635071 -5.214214381 5337264118
## X1984 <NA> 27.23026211 7.172557164 5867425978
## X1985 <NA> 27.71991585 3.747106535 6201331212
## X1986 <NA> 27.6570239 2.252534956 6492969548
## X1987 <NA> 29.54262182 -0.520327193 6597931325
## X1988 <NA> 29.9747744 5.323884853 7058221481
## X1989 <NA> 31.23379897 1.929893419 7424281841
## X1990 <NA> 32.01448519 2.086561291 7756008525
## X1991 <NA> 32.82000953 3.627338556 8254660930
## X1992 <NA> 32.0610892 1.32434906 8631620681
## X1993 <NA> 34.84227183 1.053903267 8902297081
## X1994 <NA> 36.24207114 5.382520661 9589126121
## X1995 <NA> 38.03490362 0.902010528 9843288724
## X1996 <NA> 37.5773463 2.876172081 10391061698
## X1997 <NA> 43.19522673 2.748915421 10896004686
## X1998 <NA> 44.77937144 0.902692407 11256114694
## X1999 <NA> 47.92581083 2.404722787 11751899955
## X2000 <NA> 51.33647424 4.287565072 12467303013
## X2001 <NA> 51.52594886 3.0522425 13065701954
## X2002 <NA> 50.83245038 -1.4125451 13086686566
## X2003 <NA> 52.29433504 2.472721223 13579919754
## X2004 <NA> 54.23225475 3.288760449 14178960894
## X2005 <NA> 54.19872632 2.172198934 14637556830
## X2006 <NA> 57.13533566 2.087017249 15183346358
## X2007 <NA> 60.86018588 2.173334102 15601015982
## X2008 <NA> 75.40009579 4.974641005 16505155680
## X2009 <NA> 80.66311212 3.689497146 17149610807
## X2010 3.868158511 73.24216062 4.313246946 17879868977
## X2011 3.15951075 66.48945133 3.31468974 18561742448
## X2012 2.915854023 67.71797811 4.87202271 19480713938
## X2013 2.783750795 74.31554963 3.803477458 20079553984
## X2014 2.978005109 75.36051884 6.05408683 21232603795
## X2015 3.648394395 86.38039633 3.556335386 21978324247
## X2016 4.688307873 94.20586025 -0.481931973 21978879123
## X2017 6.754081565 89.40497103 7.52102989 23866727131
## X2018 <NA> 95.33178294 5.848710831 25626474621
## X2019 <NA> 97.16987778 4.744512715 27262952301
## X2020 <NA> 117.7494555 -4.139132233 26602290156
## X2021 <NA> <NA> 2.356571795 27621363368
## NY.GDP.TOTL.RT.ZS NY.GDP.MKTP.CN NE.RSB.GNFS.ZS MS.MIL.XPND.GD.ZS
## X1960 <NA> 3872999900 <NA> <NA>
## X1961 <NA> 4052999900 <NA> <NA>
## X1962 <NA> 4374000100 <NA> <NA>
## X1963 <NA> 4616000000 <NA> <NA>
## X1964 <NA> 5023000100 <NA> <NA>
## X1965 <NA> 5601999900 -6.158514926 <NA>
## X1966 <NA> 6909000200 -3.111882961 <NA>
## X1967 <NA> 6415000100 -0.077942321 <NA>
## X1968 <NA> 7173000200 -0.65523489 <NA>
## X1969 <NA> 7984999900 -3.206011311 <NA>
## X1970 1.547335521 8768000000 -3.398722628 0.593019315
## X1971 1.402280908 8938000400 -3.72566553 0.617910602
## X1972 1.17495854 10369000400 -2.256726695 0.647556299
## X1973 2.113309698 9969000400 -3.761660999 0.657680994
## X1974 2.039763676 12807999500 -5.098376995 0.607236461
## X1975 3.43610027 16570999800 -4.465632786 0.682172825
## X1976 2.285661967 17393999900 -3.403471906 0.856261176
## X1977 9.172688007 17280000000 -2.528935185 0.892143089
## X1978 8.055118416 19732000800 -4.900668259 0.858464253
## X1979 4.151573113 22215000100 -4.181859986 0.911205724
## X1980 4.442852297 23350999000 -7.190270532 1.032075714
## X1981 2.608043944 27306999800 -6.716227024 0.99205332
## X1982 3.331593538 30987999200 -7.215695617 1.089453982
## X1983 2.715583077 33760000000 -11.08412382 1.252924973
## X1984 1.86502117 39389999100 -8.796649604 1.220614369
## X1985 1.152462424 46586000000 -8.47035676 1.195827162
## X1986 1.846370848 55724000000 -8.640442179 1.182850684
## X1987 1.680118445 63864000000 -9.09333897 1.159182012
## X1988 1.521723512 76906000000 -10.9346995 1.083790602
## X1989 1.488703917 89269000000 -11.21571878 1.106543145
## X1990 1.746703903 103000000000 -11.13413592 1.077154406
## X1991 1.596161254 124000000000 -11.69355256 1.096609649
## X1992 1.887355667 153000000000 -9.775960879 1.074689768
## X1993 1.523479997 176000000000 -10.32365296 1.050552554
## X1994 1.200027148 199000000000 -12.44419688 0.973315396
## X1995 1.388811488 219000000000 -9.544200433 0.941485115
## X1996 1.326249219 249000000000 -12.82261842 0.900716315
## X1997 1.090667424 281000000000 -11.37986475 0.880707846
## X1998 1.271680096 301000000000 -11.06549884 0.92705546
## X1999 1.394818469 342000000000 -6.870037072 0.947369575
## X2000 1.167019792 379000000000 -9.142581584 0.962150318
## X2001 1.06061514 442000000000 -10.67837364 1.098334384
## X2002 1.141777044 459000000000 -10.75645945 1.44764998
## X2003 1.210053519 492000000000 -12.84815463 1.592251101
## X2004 0.901697274 537000000000 -12.78189619 1.793292398
## X2005 0.792667946 589000000000 -14.89557389 1.929161376
## X2006 1.081820981 654000000000 -17.86880584 1.749109863
## X2007 1.356930627 728000000000 -18.86794527 1.547393889
## X2008 1.074373869 816000000000 -20.48456584 1.599971653
## X2009 1.00485104 988000000000 -22.24073939 1.6454486
## X2010 1.472314254 1190000000000 -26.81983343 1.563666433
## X2011 1.113986794 1560000000000 -20.68448362 1.540651621
## X2012 0.961086179 1760000000000 -20.42132348 1.431832398
## X2013 0.833688505 1950000000000 -23.27605838 1.541860106
## X2014 0.860694134 2230000000000 -25.73455737 1.629341062
## X2015 0.934852579 2420000000000 -26.2365532 1.556630126
## X2016 1.031178468 2610000000000 -25.75633004 1.700897728
## X2017 0.703177494 3080000000000 -29.01803331 1.708544543
## X2018 0.424053405 3460000000000 -32.8161049 1.539234028
## X2019 0.442967352 3860000000000 -33.68965364 1.376595177
## X2020 0.514043068 3890000000000 -27.30828594 1.363585634
## X2021 <NA> 4280000000000 -33.39276732 <NA>
## NY.GDP.NGAS.RT.ZS NY.GDP.DISC.CN NV.IND.TOTL.ZS NE.GDI.FPRV.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> 10.85326688 <NA>
## X1966 <NA> <NA> 9.031697524 <NA>
## X1967 <NA> <NA> 9.820732505 <NA>
## X1968 <NA> <NA> 10.07946438 <NA>
## X1969 <NA> <NA> 10.35691935 <NA>
## X1970 <NA> <NA> 11.46213504 <NA>
## X1971 0 <NA> 9.140746962 <NA>
## X1972 0 <NA> 9.094415697 <NA>
## X1973 0 <NA> 9.589727773 <NA>
## X1974 0 <NA> 8.705497685 <NA>
## X1975 0 0 7.86313509 10.36750963
## X1976 0 100 8.44544043 10.41163683
## X1977 0 100 10.53819387 10.94907407
## X1978 0 -100 11.14433413 11.05311074
## X1979 0 100 11.20414085 9.56560833
## X1980 0 0 11.16868704 9.485675966
## X1981 0 0 11.52817967 9.067272194
## X1982 0 -100 12.04659867 9.610171605
## X1983 0 100 11.99348312 10.76718039
## X1984 0 0 11.8329533 9.565879883
## X1985 0 0 14.27252823 13.05327781
## X1986 0 0 14.99892326 11.15318355
## X1987 0 0 14.96148065 12.10697733
## X1988 0 0 15.18217044 12.79223988
## X1989 0 0 15.6549306 9.268615085
## X1990 0 0 15.34675485 8.415525644
## X1991 0 0 16.44736311 11.3868224
## X1992 0 -0.0000153 19.39830167 12.40616471
## X1993 0 0 19.52049726 14.51998497
## X1994 0 0 20.39172588 14.37833715
## X1995 0 0 21.27386791 15.19333866
## X1996 0 -100 21.49305179 15.4499765
## X1997 0 0 21.4004342 14.75938727
## X1998 0 0 21.07596935 14.22725988
## X1999 0 0 20.44112316 12.09843408
## X2000 0 0 20.73557003 12.35559491
## X2001 0 -200000 16.6609083 15.1040088
## X2002 0 -392700 16.94682474 15.76909432
## X2003 0 -219000 16.97130006 16.93391924
## X2004 0 -56800.00002 16.65732027 17.55494654
## X2005 0 445300 16.46708923 17.02137045
## X2006 0 -122000 16.06796681 18.0440127
## X2007 0 -705900 15.87314018 17.68167435
## X2008 0 121600 16.04998664 17.8325965
## X2009 0 276400 15.06680347 16.87399825
## X2010 0 333600 14.20076226 17.70855166
## X2011 0 50385.23181 13.39346807 19.36379862
## X2012 0 16515611357 13.97716181 20.13555146
## X2013 0 34666575605 13.79833757 20.88761544
## X2014 0 91827925928 13.56456523 21.03487682
## X2015 0 62636228548 13.16165463 23.20667599
## X2016 0 30207725224 12.65541777 23.22932409
## X2017 0 144000000000 12.86258589 22.66109375
## X2018 0 279000000000 13.20063963 25.10554791
## X2019 0 294000000000 13.01067541 28.06546489
## X2020 0 101000000000 12.04731993 25.15049192
## X2021 <NA> 227000000000 11.72251561 23.52355004
## GC.DOD.TOTL.GD.ZS FS.AST.DOMO.GD.ZS EN.ATM.CO2E.PP.GD.KD
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 52.62058095 <NA> 0.030823818
## X1991 64.91143044 <NA> 0.036377176
## X1992 61.65692299 <NA> 0.036422909
## X1993 63.68153823 <NA> 0.040205249
## X1994 66.54121 <NA> 0.045848106
## X1995 66.18364321 <NA> 0.048385786
## X1996 65.19788038 <NA> 0.047388751
## X1997 59.88242969 <NA> 0.050404927
## X1998 66.35144343 <NA> 0.0518335
## X1999 64.06810979 <NA> 0.066761232
## X2000 64.57331984 <NA> 0.064878545
## X2001 58.98914159 <NA> 0.066521264
## X2002 63.93546098 <NA> 0.053575611
## X2003 62.58819538 <NA> 0.055791253
## X2004 59.41566729 <NA> 0.049589642
## X2005 51.76462305 <NA> 0.05440294
## X2006 49.68696803 <NA> 0.043227593
## X2007 42.97866114 <NA> 0.042918347
## X2008 43.79998725 <NA> 0.044960125
## X2009 <NA> <NA> 0.055812865
## X2010 33.86252123 <NA> 0.063678269
## X2011 <NA> <NA> 0.069002432
## X2012 <NA> <NA> 0.076065827
## X2013 <NA> <NA> 0.074577833
## X2014 <NA> <NA> 0.082362417
## X2015 <NA> <NA> 0.079879459
## X2016 <NA> <NA> 0.115154262
## X2017 <NA> <NA> 0.126679955
## X2018 <NA> <NA> 0.143267775
## X2019 <NA> <NA> 0.11893877
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## BX.KLT.DINV.WD.GD.ZS NY.GDP.PCAP.KN NY.GDP.FCST.KN NE.IMP.GNFS.ZS
## X1960 <NA> 25056.70299 <NA> <NA>
## X1961 <NA> 25131.45734 <NA> <NA>
## X1962 <NA> 25204.32508 <NA> <NA>
## X1963 <NA> 25266.70661 <NA> <NA>
## X1964 <NA> 26718.07075 <NA> <NA>
## X1965 <NA> 25942.05128 285000000000 13.92359896
## X1966 <NA> 27272.40202 305000000000 8.756693914
## X1967 <NA> 26347.55968 300000000000 6.952455075
## X1968 <NA> 26020.44729 302000000000 7.50034832
## X1969 <NA> 26651.89493 314000000000 10.21916105
## X1970 <NA> 26795.12173 327000000000 8.302919708
## X1971 <NA> 25939.14196 319000000000 9.129558777
## X1972 0.002929405 26196.98277 327000000000 7.917831694
## X1973 -0.001028699 25526.32007 327000000000 10.37215326
## X1974 0.020526234 26566.23024 344000000000 10.54809613
## X1975 <NA> 26372.52369 346000000000 13.36672577
## X1976 -0.002753317 26932.29018 358000000000 14.17730202
## X1977 0 27133.57131 364000000000 14.31712905
## X1978 0.025558508 27698.91747 377000000000 15.47232808
## X1979 0.016205267 27718.92103 387000000000 15.96668955
## X1980 0.015416899 26463.90251 379000000000 18.73153307
## X1981 -0.010107299 28016.96769 408000000000 19.61768132
## X1982 -0.001252385 28406.30392 425000000000 18.80727975
## X1983 -0.024518069 26925.13833 413000000000 21.31516677
## X1984 0.036804482 28856.35927 454000000000 19.44909971
## X1985 0.024809975 29937.6378 480000000000 19.99957112
## X1986 0.041041331 30611.99355 502000000000 20.30274209
## X1987 0.047003039 30452.71103 510000000000 20.90661405
## X1988 0.019500949 32073.9783 546000000000 22.38186877
## X1989 0.011914122 32692.97189 574000000000 22.28332344
## X1990 0.163746322 33375.13079 600000000000 21.66144504
## X1991 0.056611336 34585.75978 639000000000 23.18430384
## X1992 0 35043.79596 668000000000 25.73568701
## X1993 0 35413.12367 689000000000 28.75661707
## X1994 0 37319.24237 742000000000 31.43813481
## X1995 0 37655.86586 762000000000 34.51735942
## X1996 0.42374943 38738.91337 804000000000 35.64019356
## X1997 0.468752021 39803.81333 843000000000 37.70769982
## X1998 0.247611787 40163.11933 871000000000 33.88755007
## X1999 0.086439766 41128.93101 909000000000 29.71850916
## X2000 -0.008824253 42892.36069 965000000000 32.42658529
## X2001 0.347091875 44201.53955 1010000000000 33.23914736
## X2002 -0.098374869 43577.17287 1010000000000 28.49358898
## X2003 0.233443621 44654.71488 1050000000000 28.54801912
## X2004 -0.005737557 46123.30148 1100000000000 29.46459146
## X2005 0.030156296 47125.19134 1130000000000 29.47926069
## X2006 -0.073509433 48108.70221 1170000000000 31.3153968
## X2007 0.055606415 49154.26504 1210000000000 31.72361014
## X2008 0.007932157 51599.51327 1280000000000 33.26038609
## X2009 0.297715389 53503.27584 1330000000000 34.66009358
## X2010 0.548294666 55811.00425 1380000000000 36.4023696
## X2011 0.435815132 57660.96588 1440000000000 28.49061783
## X2012 0.423691401 60470.22123 1510000000000 29.17161477
## X2013 0.33471227 62770.19247 1550000000000 32.57071706
## X2014 0.133746295 66570.35442 1640000000000 35.85859949
## X2015 0.213029579 68937.81949 1700000000000 36.4511418
## X2016 0.432213143 68605.5861 1700000000000 33.93590808
## X2017 0.677439878 73765.43273 1850000000000 36.83022197
## X2018 0.206157198 78079.75959 1980000000000 40.63174592
## X2019 0.542801816 81784.26371 2110000000000 41.46959011
## X2020 0.378738964 78399.10489 2060000000000 34.11357577
## X2021 <NA> 80246.63608 2140000000000 38.60199775
## NY.GNS.ICTR.ZS NY.GDP.PCAP.CD NY.GDP.DISC.KN NV.AGR.TOTL.ZS
## X1960 <NA> 50.30493772 <NA> <NA>
## X1961 <NA> 51.81124873 <NA> <NA>
## X1962 <NA> 55.02568891 <NA> <NA>
## X1963 <NA> 46.86145326 <NA> <NA>
## X1964 <NA> 46.00340388 <NA> <NA>
## X1965 <NA> 67.00747097 <NA> 64.58407648
## X1966 <NA> 81.16442237 <NA> 68.69300568
## X1967 <NA> 73.96790076 <NA> 66.23538322
## X1968 <NA> 66.54894009 <NA> 67.39160414
## X1969 <NA> 66.63834579 <NA> 66.42454686
## X1970 <NA> 71.71859114 <NA> 66.86815807
## X1971 <NA> 71.6298781 <NA> 66.83821697
## X1972 <NA> 81.386573 <NA> 67.84646088
## X1973 <NA> 75.63696074 <NA> 65.33252722
## X1974 <NA> 92.75222233 <NA> 68.41817725
## X1975 <NA> 117.4177468 <NA> 69.00609461
## X1976 15.32126861 105.8928233 <NA> 66.08600762
## X1977 17.44328299 98.54200742 <NA> 60.12152894
## X1978 17.42714069 111.8066138 <NA> 58.8688401
## X1979 16.46995176 126.1333096 <NA> 60.1620533
## X1980 17.29647841 129.5860224 <NA> 57.89902179
## X1981 16.89507043 148.0802633 <NA> 56.79862201
## X1982 16.40122553 152.2896698 <NA> 57.16728978
## X1983 14.50573585 151.9925535 <NA> 56.52251303
## X1984 16.01258618 156.6505397 <NA> 57.29880913
## X1985 18.62311339 155.4078184 <NA> 48.85802602
## X1986 15.51950735 165.3618292 <NA> 48.69715024
## X1987 16.80707054 167.7999446 <NA> 47.95033196
## X1988 14.84427922 193.499648 <NA> 47.79210985
## X1989 13.2464208 191.1208533 <NA> 47.68956749
## X1990 10.3341958 191.8788839 <NA> 48.80289317
## X1991 11.71677402 202.0805891 <NA> 44.72338673
## X1992 15.10886219 170.5866512 <NA> 42.66526274
## X1993 16.62517071 178.6259878 <NA> 39.89594836
## X1994 13.9920437 193.2795509 <NA> 40.44170782
## X1995 21.00779388 203.9807806 <NA> 39.04140527
## X1996 20.38508266 204.6857552 <NA> 38.92765745
## X1997 19.11054397 217.7879819 <NA> 38.78073387
## X1998 20.13192901 210.6115609 <NA> 37.39300969
## X1999 20.47123509 214.1067032 <NA> 38.70148172
## X2000 21.73051331 229.4903926 <NA> 38.24389704
## X2001 18.5502235 246.7255581 <NA> 35.24767001
## X2002 25.13148362 244.7208435 <NA> 36.15029503
## X2003 25.12676611 252.4023518 <NA> 35.10587509
## X2004 27.57583417 286.1576726 <NA> 34.67635711
## X2005 30.68571741 315.80563 <NA> 33.82489668
## X2006 29.50425285 346.9453313 <NA> 32.36648504
## X2007 31.05886965 391.3800572 <NA> 31.16441132
## X2008 36.65691212 470.455459 <NA> 30.30571637
## X2009 37.24818062 478.1732528 <NA> 31.32265206
## X2010 37.75048339 592.4012071 <NA> 33.17937849
## X2011 29.51620768 797.8139473 <NA> 30.80547966
## X2012 34.55533815 804.1416073 <NA> 30.07605696
## X2013 37.08132511 823.3598746 <NA> 28.62265753
## X2014 39.58970376 844.8531249 <NA> 27.46189536
## X2015 40.08822844 901.7496077 <NA> 26.51850843
## X2016 35.30509599 899.523581 <NA> 25.51787537
## X2017 41.88064846 1048.453755 <NA> 23.69954846
## X2018 42.6031208 1178.525957 <NA> 22.33467205
## X2019 42.18750826 1194.957236 <NA> 21.58337276
## X2020 32.81975747 1147.471971 <NA> 22.18009019
## X2021 32.62383756 1222.878794 <NA> 21.31988975
## CM.MKT.TRAD.GD.ZS CM.MKT.LCAP.GD.ZS PA.NUS.PPP NY.GDP.MKTP.PP.CD
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> 6.855172398 16195204675
## X1991 <NA> <NA> 7.462756348 17809100163
## X1992 <NA> <NA> 8.645528589 18962933642
## X1993 <NA> <NA> 9.355323514 20159768606
## X1994 <NA> <NA> 9.600855654 22281961821
## X1995 <NA> <NA> 9.996182258 23538237236
## X1996 <NA> <NA> 10.58439036 25246362676
## X1997 <NA> <NA> 11.16235091 26978289337
## X1998 <NA> <NA> 11.4915425 28104868450
## X1999 <NA> <NA> 12.33891727 29758555947
## X2000 <NA> <NA> 12.60519056 32319580727
## X2001 <NA> <NA> 12.74813167 34633980664
## X2002 <NA> <NA> 13.04641998 35216021000
## X2003 <NA> <NA> 13.18673162 37327748401
## X2004 <NA> <NA> 13.37705251 40124608887
## X2005 <NA> <NA> 13.76403079 42822630163
## X2006 <NA> <NA> 14.33475801 45629232067
## X2007 <NA> <NA> 15.01878444 48461112328
## X2008 <NA> <NA> 15.56430534 52405679687
## X2009 <NA> <NA> 17.92543252 55132393547
## X2010 <NA> <NA> 20.39547456 58482287147
## X2011 <NA> <NA> 25.25461197 61740123574
## X2012 <NA> <NA> 26.00444031 67618420433
## X2013 <NA> <NA> 26.79986954 72735235363
## X2014 <NA> <NA> 28.1527462 79300444355
## X2015 <NA> <NA> 29.9425354 80942994654
## X2016 <NA> <NA> 31.99880981 81508795260
## X2017 <NA> <NA> 31.23498344 98515977279
## X2018 <NA> <NA> 31.83499365 109000000000
## X2019 <NA> <NA> 32.74274823 118000000000
## X2020 <NA> <NA> 33.39374122 116000000000
## X2021 <NA> <NA> 33.82868766 126000000000
## NY.GDP.DEFL.ZS NE.EXP.GNFS.ZS NY.GDP.PCAP.CN NY.GDP.FCST.CD
## X1960 1.529623912 <NA> 383.2733205 501246856.5
## X1961 1.570740203 <NA> 394.7499041 524609515.7
## X1962 1.663368182 <NA> 419.2407238 566084774.9
## X1963 1.72274918 <NA> 435.2819809 490057812.2
## X1964 1.743331203 <NA> 465.7844643 489185175.3
## X1965 1.96796281 7.765084037 510.5299213 725029518.3
## X1966 2.2674634 5.644810953 618.391734 883449297.8
## X1967 2.13895117 6.874512753 563.5614359 830030200.8
## X1968 2.375643789 6.84511343 618.1531398 760601612.7
## X1969 2.531577034 7.013149743 674.7132511 772740730.9
## X1970 2.710010959 4.90419708 726.1507352 860543209.9
## X1971 2.79597728 5.403893247 725.2525157 866666706.2
## X1972 3.145549465 5.661104999 824.0390516 1000493867
## X1973 3.038685537 6.610492262 775.6645961 952209183.7
## X1974 3.671512146 5.449719138 975.38237 1181532855
## X1975 4.682013144 8.901092981 1234.765025 1515405078
## X1976 4.707485278 10.77383012 1267.833595 1385557255
## X1977 4.539671827 11.78819387 1231.775093 1300400000
## X1978 4.965093868 10.57165982 1375.277253 1497987952
## X1979 5.460528978 11.78482957 1513.599716 1731583342
## X1980 5.876050473 11.54126254 1555.032269 1823833258
## X1981 6.342453541 12.9014543 1776.96316 2122166658
## X1982 6.935308657 11.59158414 1970.064855 2244613931
## X1983 7.787567315 10.23104295 2096.813272 2293718974
## X1984 8.284254462 10.6524501 2390.534231 2424853981
## X1985 9.230468152 11.52921436 2763.384122 2475325479
## X1986 10.55896975 11.66229991 3232.311139 2696949388
## X1987 11.89962122 11.81327508 3623.757263 2795556523
## X1988 13.30559838 11.44716927 4267.634736 3274268873
## X1989 14.80359226 11.06760466 4839.734257 3337334981
## X1990 16.38992821 10.52730912 5470.159975 3428743809
## X1991 18.4459854 11.49075129 6379.684199 3714570795
## X1992 21.8564811 15.95972613 7659.340641 3234463252
## X1993 24.21149711 18.43296411 8574.047413 3457916667
## X1994 25.37751946 18.99393793 9470.697996 3818836735
## X1995 26.97652183 24.97315898 10158.24288 4114738956
## X1996 29.08690473 22.81757514 11267.95082 4240799273
## X1997 31.20416757 26.32783507 12420.44861 4603910223
## X1998 32.48598818 22.82205122 13047.3862 4550476190
## X1999 35.37303335 22.84847209 14548.55049 4717880795
## X2000 36.95506882 23.28400371 15850.90141 5147574924
## X2001 41.02646356 22.56077372 18134.32852 5624870748
## X2002 42.6407966 17.73712952 18581.65365 5668339260
## X2003 43.9499991 15.69986449 19625.74678 5920137147
## X2004 45.78114379 16.68269526 21115.77497 6785394365
## X2005 48.58267072 14.58368679 22894.67653 7565717328
## X2006 52.15837436 13.44659096 25092.717 8449644451
## X2007 56.12412627 12.85566488 27587.40178 9588352545
## X2008 59.27822052 12.77582026 30587.27326 11616425419
## X2009 68.70839558 12.41935419 36761.24241 11830719902
## X2010 79.11560985 9.582536172 44155.21637 14535459375
## X2011 100 7.806134205 57660.96588 19869929072
## X2012 107.74115 8.750291287 65151.31178 19975684930
## X2013 115.3720797 9.294658678 72419.27646 20206662643
## X2014 124.6426488 10.12404212 82975.05304 20592668320
## X2015 130.1381998 10.21458859 89714.43725 21978324247
## X2016 139.4435167 8.17957804 95666.04194 22015610883
## X2017 150.9635209 7.812188656 111358.8945 25614337303
## X2018 157.5392782 7.815641022 123006.2897 28848666957
## X2019 164.9296914 7.779936474 134886.5338 29610972525
## X2020 170.2361432 6.805289826 133463.6124 29477215821
## X2021 179.6195108 5.209230429 144138.6152 31072803545
## NE.CON.TOTL.ZS GC.AST.TOTL.GD.ZS EG.GDP.PUSE.KO.PP NE.CON.GOVT.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 89.97043075 <NA> <NA> 7.585540493
## X1976 88.27181665 <NA> <NA> 7.439346944
## X1977 86.50462963 <NA> <NA> 7.291666667
## X1978 86.62071765 <NA> <NA> 7.454895806
## X1979 88.36371916 <NA> <NA> 8.503263072
## X1980 88.90411455 <NA> <NA> 6.702068293
## X1981 89.10901995 <NA> <NA> 7.038488351
## X1982 90.06712218 <NA> <NA> 8.512973306
## X1983 91.45142299 <NA> <NA> 10.11848341
## X1984 90.13455195 <NA> <NA> 9.251079165
## X1985 85.91422402 <NA> <NA> 9.382646718
## X1986 88.37628311 <NA> <NA> 9.089440815
## X1987 87.90456282 <NA> <NA> 9.07710134
## X1988 88.64255065 <NA> <NA> 8.965490339
## X1989 89.70881269 <NA> <NA> 10.02251622
## X1990 93.00831399 -0.194844125 2.797501243 8.663069544
## X1991 91.44008126 <NA> 2.979767206 8.953885671
## X1992 89.0712991 <NA> 3.097360601 7.797561985
## X1993 87.75275782 <NA> 3.208141485 8.481233137
## X1994 90.04064796 <NA> 3.424384298 8.022702638
## X1995 84.34470232 <NA> 3.507044448 9.246948785
## X1996 85.61753074 <NA> 3.673219763 9.247407729
## X1997 86.0391497 -1.122942609 3.802269095 8.90760856
## X1998 86.22612973 -1.511077133 3.86075136 9.31210424
## X1999 86.38652072 -1.068600966 3.874717122 8.925668643
## X2000 84.82771524 -0.658255334 3.986274891 8.949953622
## X2001 88.33537272 -1.628697157 4.13560758 8.104982306
## X2002 90.51033375 -1.984576977 4.158990227 8.398430273
## X2003 91.43882019 -0.924037698 4.28710773 8.66503735
## X2004 88.25075721 -0.817309394 4.542859239 8.644077586
## X2005 88.44434024 -0.184947032 4.689488849 8.899208024
## X2006 91.01692168 -0.725824206 4.997187276 8.682982614
## X2007 90.1827915 -0.433069947 5.206365149 9.198477111
## X2008 90.16890393 0.035517337 5.439841324 9.889316356
## X2009 90.56633433 0.0711545 5.558440033 10.77911749
## X2010 88.54859901 1.017425095 5.727603102 9.992588705
## X2011 92.87417397 0.147182295 5.841926857 8.197276933
## X2012 90.87936626 -1.059514594 6.693408633 7.896386254
## X2013 91.82103312 -0.300186813 6.475425412 7.534337608
## X2014 90.63528277 1.388900866 6.783790711 8.001141444
## X2015 92.37473012 2.028425282 <NA> 8.811996996
## X2016 96.35714108 4.289986965 <NA> 7.926018483
## X2017 87.01524485 0.767200801 <NA> 8.518538323
## X2018 85.20838789 -0.002792772 <NA> 8.061536277
## X2019 84.69659271 -0.864102849 <NA> 8.117095211
## X2020 94.28064253 3.152060198 <NA> 9.067732071
## X2021 92.29193766 <NA> <NA> 8.399219427
## GC.XPN.TOTL.GD.ZS FD.AST.PRVT.GD.ZS SL.UEM.NEET.ZS SL.UEM.1524.FE.ZS
## X1960 <NA> 1.040537078 <NA> <NA>
## X1961 <NA> 1.213915648 <NA> <NA>
## X1962 <NA> 1.227709163 <NA> <NA>
## X1963 <NA> 1.167677643 <NA> <NA>
## X1964 <NA> 1.42146125 <NA> <NA>
## X1965 <NA> 1.833273864 <NA> <NA>
## X1966 <NA> 1.619626527 <NA> <NA>
## X1967 <NA> 1.826968015 <NA> <NA>
## X1968 <NA> 2.141363387 <NA> <NA>
## X1969 <NA> 2.275516622 <NA> <NA>
## X1970 <NA> 2.739507299 <NA> <NA>
## X1971 <NA> 3.715596164 <NA> <NA>
## X1972 <NA> 3.43716835 <NA> <NA>
## X1973 <NA> 4.603269953 <NA> <NA>
## X1974 <NA> 4.719706618 <NA> <NA>
## X1975 <NA> 4.285800547 <NA> <NA>
## X1976 <NA> 3.529377967 <NA> <NA>
## X1977 <NA> 4.684606481 <NA> <NA>
## X1978 <NA> 5.604601435 <NA> <NA>
## X1979 <NA> 6.269187458 <NA> <NA>
## X1980 <NA> 8.396642902 <NA> <NA>
## X1981 <NA> 8.995495726 <NA> <NA>
## X1982 <NA> 8.454885981 <NA> <NA>
## X1983 <NA> 7.907879147 <NA> <NA>
## X1984 <NA> 8.199543219 <NA> <NA>
## X1985 <NA> 9.30687331 <NA> <NA>
## X1986 <NA> 10.25016151 <NA> <NA>
## X1987 <NA> 10.14828385 <NA> <NA>
## X1988 <NA> 11.56905833 <NA> <NA>
## X1989 <NA> 12.81878368 <NA> <NA>
## X1990 <NA> 12.47099095 <NA> <NA>
## X1991 <NA> 12.95458033 <NA> 2.586999893
## X1992 <NA> 13.09025213 <NA> 2.490999937
## X1993 <NA> 14.26361836 <NA> 2.424999952
## X1994 <NA> 18.29765346 <NA> 2.421000004
## X1995 <NA> 22.58190943 <NA> 2.296000004
## X1996 <NA> 22.83838128 <NA> 2.263999939
## X1997 <NA> 23.3645143 <NA> 2.20600009
## X1998 <NA> 28.21230202 <NA> 2.128999949
## X1999 <NA> 28.44902291 <NA> 2.092000008
## X2000 <NA> 30.28106291 <NA> 2.053999901
## X2001 <NA> 29.08380662 <NA> 1.978999972
## X2002 <NA> 22.50918264 <NA> 1.871000051
## X2003 <NA> 25.81266795 <NA> 1.850999951
## X2004 14.59633833 26.55397925 <NA> 1.797999978
## X2005 <NA> 28.21497492 <NA> 1.723999977
## X2006 <NA> 32.61416286 <NA> 1.659999967
## X2007 <NA> 36.77121883 <NA> 1.597000003
## X2008 <NA> 51.19786815 23.12999916 1.562999964
## X2009 <NA> 58.77492981 <NA> 1.967000008
## X2010 15.63520088 54.21260718 <NA> 2.410000086
## X2011 13.93790561 46.02557861 <NA> 2.838999987
## X2012 13.83933585 48.39298877 <NA> 3.328999996
## X2013 12.69043542 50.18531483 <NA> 3.788000107
## X2014 13.58299152 54.2201924 <NA> 4.357999802
## X2015 13.98979845 56.68439189 <NA> 4.808000088
## X2016 14.22711074 69.65767267 <NA> 4.748000145
## X2017 16.85380845 68.41674545 34.75999832 5.109000206
## X2018 20.1657917 76.16895532 <NA> 5.135000229
## X2019 21.70186528 78.84534533 <NA> 5.184000015
## X2020 20.16478293 88.34028058 <NA> 7.113999844
## X2021 <NA> <NA> <NA> 8.550000191
## SL.SRV.EMPL.ZS SL.FAM.WORK.ZS SL.EMP.TOTL.SP.FE.ZS SL.AGR.EMPL.MA.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 14.90999985 52.72999954 79.91799927 74.79000092
## X1992 14.68999958 52.59999847 80.05000305 74.68000031
## X1993 14.51000023 52.40999985 80.16300201 74.40000153
## X1994 14.39999962 52.13999939 80.1969986 73.83000183
## X1995 14.28999996 51.91999817 80.4280014 73.13999939
## X1996 14.21000004 51.61999893 80.36699677 72.13999939
## X1997 14.14000034 51.27999878 80.36599731 70.86000061
## X1998 14.10000038 50.95000076 80.41999817 69.33000183
## X1999 14.05000019 50.50999832 80.43599701 67.43000031
## X2000 14.22999954 49.99000168 80.21900177 66.37000275
## X2001 14.43000031 49.45000076 80.04399872 65.55999756
## X2002 14.60000038 49.09000015 79.91699982 65.19999695
## X2003 14.85000038 48.54999924 79.64700317 64.51999664
## X2004 15.11999989 47.93000031 79.42500305 63.90000153
## X2005 15.39000034 47.36999893 79.22899628 63.38000107
## X2006 15.67000008 46.79000092 79.01000214 62.84999847
## X2007 15.97000027 46.20999908 78.78500366 62.36000061
## X2008 16.30999947 45.5 78.53399658 61.56999969
## X2009 16.64999962 44.77999878 78.45800018 61.00999832
## X2010 16.96999931 44.02000046 78.41100311 60.40000153
## X2011 17.30999947 43.33000183 78.47499847 59.70999908
## X2012 17.72999954 42.56000137 78.61199951 58.54999924
## X2013 18.12000084 41.81999969 78.86499786 57.40000153
## X2014 18.54999924 40.95000076 79.00499725 56.13000107
## X2015 18.94000053 40.25 79.22499847 55.20999908
## X2016 19.29000092 39.70000076 79.73400116 54.93000031
## X2017 19.70999908 38.81999969 79.71199799 53.79000092
## X2018 20.11000061 38.02999878 79.94200134 52.88999939
## X2019 20.52000046 37.20000076 80.06400299 52.11000061
## X2020 <NA> <NA> 72.26599884 <NA>
## X2021 <NA> <NA> 74.80899811 <NA>
## per_lm_alllm.cov_q5_tot SL.UEM.INTM.MA.ZS SL.TLF.PART.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> <NA> <NA>
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 <NA> 1.929999948 30.57999992
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> <NA>
## X2015 <NA> <NA> <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> 13.25 29.88999939
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.TLF.0714.WK.MA.ZS SL.SRV.0714.MA.ZS SL.FAM.0714.MA.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 23.22274882 9.723161033 91.8
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 10.23713436 4.17 91.97
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 7.136226177 <NA> <NA>
## X2015 <NA> <NA> <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> <NA> <NA>
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.EMP.SELF.MA.ZS SL.AGR.0714.FE.ZS per_lm_alllm.cov_q1_tot
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 77.61000061 <NA> <NA>
## X1992 77.61000061 <NA> <NA>
## X1993 77.62000275 <NA> <NA>
## X1994 77.40000153 <NA> <NA>
## X1995 77.33999634 <NA> <NA>
## X1996 77.11000061 <NA> <NA>
## X1997 76.80999756 <NA> <NA>
## X1998 76.62000275 <NA> <NA>
## X1999 76.27999878 85.9 <NA>
## X2000 75.73000336 <NA> <NA>
## X2001 75.25 <NA> <NA>
## X2002 75.34999847 <NA> <NA>
## X2003 75.08000183 <NA> <NA>
## X2004 74.68000031 <NA> <NA>
## X2005 74.37999725 <NA> <NA>
## X2006 74.09999847 <NA> <NA>
## X2007 73.83000183 <NA> <NA>
## X2008 73.22000122 88.93 <NA>
## X2009 72.61000061 <NA> <NA>
## X2010 71.84999847 <NA> <NA>
## X2011 71.08000183 <NA> <NA>
## X2012 70.02999878 <NA> <NA>
## X2013 68.97000122 <NA> <NA>
## X2014 67.65000153 <NA> <NA>
## X2015 66.77999878 <NA> <NA>
## X2016 66.62999725 <NA> <NA>
## X2017 65.62000275 <NA> <NA>
## X2018 64.80999756 <NA> <NA>
## X2019 63.99000168 <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.UEM.TOTL.FE.ZS SL.UEM.1524.MA.ZS SL.TLF.0714.MA.ZS SL.IND.EMPL.FE.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 1.720999956 3.75999999 <NA> 1.440000057
## X1992 1.662999988 3.680000067 <NA> 1.649999976
## X1993 1.654999971 3.663000107 <NA> 1.899999976
## X1994 1.763000011 3.753000021 <NA> 2.25
## X1995 1.643000007 3.647000074 <NA> 2.619999886
## X1996 1.68599999 3.710000038 <NA> 3.089999914
## X1997 1.677000046 3.720000029 <NA> 3.650000095
## X1998 1.628000021 3.696000099 <NA> 4.269999981
## X1999 1.659000039 3.720000029 42.2 5.039999962
## X2000 1.636999965 3.638000011 <NA> 5.46999979
## X2001 1.537999988 3.551000118 <NA> 5.75
## X2002 1.376000047 3.400000095 <NA> 5.949999809
## X2003 1.383999944 3.377000093 <NA> 6.139999866
## X2004 1.330000043 3.289999962 <NA> 6.300000191
## X2005 1.24000001 3.176000118 <NA> 6.409999847
## X2006 1.169999957 3.052999973 <NA> 6.460000038
## X2007 1.101999998 2.933000088 <NA> 6.519999981
## X2008 1.07099998 2.842999935 36.2 6.690000057
## X2009 1.307000041 3.388000011 <NA> 6.849999905
## X2010 1.572999954 3.982000113 <NA> 7.070000172
## X2011 1.802000046 4.551000118 <NA> 7.269999981
## X2012 2.094000101 5.18200016 <NA> 7.480000019
## X2013 2.329999924 5.736000061 <NA> 7.679999828
## X2014 2.690999985 6.420000076 41.50491273 7.940000057
## X2015 2.878999949 6.870999813 <NA> 8.119999886
## X2016 2.721999884 6.546999931 <NA> 8.119999886
## X2017 3.076999903 7.008999825 <NA> 8.329999924
## X2018 3.002000093 6.90199995 <NA> 8.5
## X2019 2.944999933 6.835999966 <NA> 8.619999886
## X2020 4.532999992 9.159000397 <NA> <NA>
## X2021 4.934000015 10.56900024 <NA> <NA>
## SL.EMP.TOTL.SP.MA.ZS SL.EMP.1524.SP.FE.NE.ZS SL.UEM.TOTL.FE.NE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 88.94499969 <NA> <NA>
## X1992 88.86499786 <NA> <NA>
## X1993 88.70899963 <NA> <NA>
## X1994 88.37999725 <NA> <NA>
## X1995 88.43599701 <NA> <NA>
## X1996 88.31300354 <NA> <NA>
## X1997 88.28800201 <NA> <NA>
## X1998 88.33699799 <NA> <NA>
## X1999 88.22699738 <NA> 1.659999967
## X2000 87.95999908 <NA> <NA>
## X2001 87.80400085 <NA> <NA>
## X2002 87.75099945 <NA> <NA>
## X2003 87.39299774 <NA> <NA>
## X2004 87.13700104 <NA> <NA>
## X2005 86.94000244 <NA> <NA>
## X2006 86.69599915 <NA> <NA>
## X2007 86.44100189 <NA> <NA>
## X2008 86.11199951 73.80999756 1.080000043
## X2009 85.68199921 <NA> <NA>
## X2010 85.17500305 <NA> <NA>
## X2011 84.77500153 <NA> <NA>
## X2012 84.23200226 <NA> <NA>
## X2013 83.73699951 <NA> <NA>
## X2014 83.01999664 <NA> <NA>
## X2015 82.5719986 <NA> 2.900000095
## X2016 82.51899719 <NA> <NA>
## X2017 81.76000214 16.56999969 12.02000046
## X2018 81.71199799 <NA> <NA>
## X2019 81.6989975 <NA> <NA>
## X2020 75.53800201 <NA> <NA>
## X2021 76.5739975 <NA> <NA>
## SL.UEM.1524.MA.NE.ZS SL.TLF.0714.FE.ZS SL.EMP.TOTL.SP.MA.NE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> 71
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 3.960000038 52.4 88.33000183
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> 90
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 2.910000086 45.4 86.33999634
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> 82.90000153
## X2014 <NA> 44.09135567 84.19999695
## X2015 <NA> <NA> <NA>
## X2016 <NA> <NA> <NA>
## X2017 19.22999954 <NA> 49.56999969
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.AGR.EMPL.ZS SL.UEM.INTM.ZS SL.SRV.0714.ZS SL.FAM.0714.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 82.33000183 <NA> <NA> <NA>
## X1992 82.09999847 <NA> <NA> <NA>
## X1993 81.75 <NA> <NA> <NA>
## X1994 81.15000153 <NA> <NA> <NA>
## X1995 80.51999664 <NA> <NA> <NA>
## X1996 79.68000031 <NA> <NA> <NA>
## X1997 78.66000366 <NA> <NA> <NA>
## X1998 77.51999664 <NA> <NA> <NA>
## X1999 76.11000061 <NA> 11.06 92.41
## X2000 75.25 <NA> <NA> <NA>
## X2001 74.58999634 <NA> <NA> <NA>
## X2002 74.19000244 <NA> <NA> <NA>
## X2003 73.61000061 <NA> <NA> <NA>
## X2004 73.08000183 <NA> <NA> <NA>
## X2005 72.63999939 <NA> <NA> <NA>
## X2006 72.20999908 <NA> <NA> <NA>
## X2007 71.77999878 <NA> <NA> <NA>
## X2008 71.12999725 1.820000052 3.09 92.26
## X2009 70.61000061 <NA> <NA> <NA>
## X2010 70.04000092 <NA> <NA> <NA>
## X2011 69.54000092 <NA> <NA> <NA>
## X2012 68.86000061 <NA> <NA> <NA>
## X2013 68.23999786 <NA> <NA> <NA>
## X2014 67.48000336 <NA> <NA> <NA>
## X2015 66.93000031 <NA> <NA> <NA>
## X2016 66.66000366 <NA> <NA> <NA>
## X2017 65.80999756 14.46000004 <NA> <NA>
## X2018 65.08000183 <NA> <NA> <NA>
## X2019 64.37999725 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.EMP.SELF.ZS SL.AGR.0714.MA.ZS per_lm_alllm.cov_q2_tot
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 85.44999695 <NA> <NA>
## X1992 85.40000153 <NA> <NA>
## X1993 85.36000061 <NA> <NA>
## X1994 85.19000244 <NA> <NA>
## X1995 85.12999725 <NA> <NA>
## X1996 85 <NA> <NA>
## X1997 84.83999634 <NA> <NA>
## X1998 84.73999786 <NA> <NA>
## X1999 84.56999969 88.3 <NA>
## X2000 84.26000214 <NA> <NA>
## X2001 83.94999695 <NA> <NA>
## X2002 83.97000122 <NA> <NA>
## X2003 83.79000092 <NA> <NA>
## X2004 83.51999664 <NA> <NA>
## X2005 83.30999756 <NA> <NA>
## X2006 83.09999847 <NA> <NA>
## X2007 82.90000153 <NA> <NA>
## X2008 82.5 89.03 <NA>
## X2009 82.12999725 <NA> <NA>
## X2010 81.69999695 <NA> <NA>
## X2011 81.33000183 <NA> <NA>
## X2012 80.83999634 <NA> <NA>
## X2013 80.37000275 <NA> <NA>
## X2014 79.73000336 <NA> <NA>
## X2015 79.29000092 <NA> <NA>
## X2016 79.15000153 <NA> <NA>
## X2017 78.51999664 <NA> <NA>
## X2018 77.95999908 <NA> <NA>
## X2019 77.33999634 <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.UEM.TOTL.MA.ZS SL.UEM.1524.ZS SL.TLF.0714.SW.FE.ZS SL.IND.EMPL.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 1.807999969 3.203000069 <NA> 2.75999999
## X1992 1.746999979 3.119999886 <NA> 3.210000038
## X1993 1.771000028 3.082999945 <NA> 3.74000001
## X1994 1.998999953 3.130000114 <NA> 4.449999809
## X1995 1.825000048 3.013999939 <NA> 5.199999809
## X1996 1.944000006 3.023999929 <NA> 6.119999886
## X1997 1.972000003 2.992000103 <NA> 7.199999809
## X1998 1.922999978 2.931999922 <NA> 8.380000114
## X1999 2.029000044 2.917999983 53.8 9.840000153
## X2000 2.062999964 2.851999998 <NA> 10.52000046
## X2001 1.945000052 2.763000011 <NA> 10.97999954
## X2002 1.703999996 2.625999928 <NA> 11.21000004
## X2003 1.796000004 2.598999977 <NA> 11.53999996
## X2004 1.768000007 2.525000095 <NA> 11.80000019
## X2005 1.666000009 2.427999973 <NA> 11.97000027
## X2006 1.605999947 2.336999893 <NA> 12.11999989
## X2007 1.549999952 2.249000072 <NA> 12.25
## X2008 1.577000022 2.188999891 83.75918546 12.56999969
## X2009 1.786999941 2.660000086 <NA> 12.73999977
## X2010 2.062999964 3.171000004 <NA> 12.98999977
## X2011 2.263999939 3.654000044 <NA> 13.15999985
## X2012 2.585000038 4.193999767 <NA> 13.40999985
## X2013 2.801000118 4.683000088 <NA> 13.64999962
## X2014 3.246999979 5.296000004 89.79322999 13.97999954
## X2015 3.375 5.744999886 <NA> 14.14000034
## X2016 3.051000118 5.565000057 <NA> 14.05000019
## X2017 3.625 5.974999905 <NA> 14.47999954
## X2018 3.436000109 5.947000027 <NA> 14.81000042
## X2019 3.288000107 5.951000214 <NA> 15.10999966
## X2020 4.955999851 8.088000298 <NA> <NA>
## X2021 5.197000027 9.501000404 <NA> <NA>
## SL.EMP.TOTL.SP.ZS SL.EMP.1524.SP.MA.NE.ZS SL.UEM.INTM.FE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 84.33599854 <NA> <NA>
## X1992 84.39600372 <NA> <NA>
## X1993 84.40699768 <NA> <NA>
## X1994 84.28500366 <NA> <NA>
## X1995 84.44200134 <NA> <NA>
## X1996 84.33999634 <NA> <NA>
## X1997 84.30699921 <NA> <NA>
## X1998 84.33200073 <NA> <NA>
## X1999 84.26200104 <NA> <NA>
## X2000 83.99900055 <NA> <NA>
## X2001 83.82900238 <NA> <NA>
## X2002 83.73400116 <NA> <NA>
## X2003 83.41999817 <NA> <NA>
## X2004 83.17900085 <NA> <NA>
## X2005 82.98000336 <NA> <NA>
## X2006 82.75099945 <NA> <NA>
## X2007 82.51399994 <NA> <NA>
## X2008 82.22200012 74.83999634 1.659999967
## X2009 81.95999908 <NA> <NA>
## X2010 81.66600037 <NA> <NA>
## X2011 81.45500183 <NA> <NA>
## X2012 81.21299744 <NA> <NA>
## X2013 81.06700134 <NA> <NA>
## X2014 80.78099823 <NA> <NA>
## X2015 80.67900085 <NA> <NA>
## X2016 80.93800354 <NA> <NA>
## X2017 80.59700012 31.90999985 16.51000023
## X2018 80.70899963 <NA> <NA>
## X2019 80.77700043 <NA> <NA>
## X2020 73.70200348 <NA> <NA>
## X2021 75.59200287 <NA> <NA>
## SL.TLF.PART.MA.ZS SL.SRV.0714.FE.ZS SL.FAM.0714.FE.ZS SL.EMP.SELF.FE.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> 93.81999969
## X1992 <NA> <NA> <NA> 93.83000183
## X1993 <NA> <NA> <NA> 93.83000183
## X1994 <NA> <NA> <NA> 93.80999756
## X1995 <NA> <NA> <NA> 93.77999878
## X1996 <NA> <NA> <NA> 93.72000122
## X1997 <NA> <NA> <NA> 93.62999725
## X1998 <NA> <NA> <NA> 93.52999878
## X1999 <NA> 12.27995312 92.9 93.41000366
## X2000 <NA> <NA> <NA> 93.26999664
## X2001 <NA> <NA> <NA> 93.12000275
## X2002 <NA> <NA> <NA> 93.04000092
## X2003 <NA> <NA> <NA> 92.94000244
## X2004 <NA> <NA> <NA> 92.80999756
## X2005 <NA> <NA> <NA> 92.68000031
## X2006 <NA> <NA> <NA> 92.55000305
## X2007 <NA> <NA> <NA> 92.41000366
## X2008 26.86000061 2.19 92.51 92.23000336
## X2009 <NA> <NA> <NA> 91.98000336
## X2010 <NA> <NA> <NA> 91.69000244
## X2011 <NA> <NA> <NA> 91.33000183
## X2012 <NA> <NA> <NA> 90.87000275
## X2013 <NA> <NA> <NA> 90.37999725
## X2014 <NA> <NA> <NA> 89.80999756
## X2015 <NA> <NA> <NA> 89.30000305
## X2016 <NA> <NA> <NA> 89
## X2017 23.45999908 <NA> <NA> 88.62000275
## X2018 <NA> <NA> <NA> 88.25
## X2019 <NA> <NA> <NA> 87.88999939
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## per_lm_alllm.cov_pop_tot SL.UEM.NEET.MA.ZS SL.UEM.1524.FE.NE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> <NA> 2.160000086
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 <NA> 21.89999962 1.590000033
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> <NA>
## X2015 <NA> 86.79000092 <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> 21.15999985 22.47999954
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.TLF.0714.ZS SL.SRV.EMPL.MA.ZS SL.FAM.WORK.MA.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> 21.21999931 35.90000153
## X1992 <NA> 20.67000008 35.79999924
## X1993 <NA> 20.18000031 35.61999893
## X1994 <NA> 19.72999954 35.31000137
## X1995 <NA> 19.34000015 35
## X1996 <NA> 19.01000023 34.50999832
## X1997 <NA> 18.70000076 33.91999817
## X1998 <NA> 18.47999954 33.29000092
## X1999 47.2 18.22999954 32.54999924
## X2000 <NA> 18.32999992 31.70999908
## X2001 <NA> 18.48999977 30.94000053
## X2002 <NA> 18.59000015 30.37999916
## X2003 <NA> 18.81999969 29.63999939
## X2004 <NA> 19.06999969 28.81999969
## X2005 <NA> 19.34000015 28.05999947
## X2006 <NA> 19.63999939 27.32999992
## X2007 <NA> 19.94000053 26.60000038
## X2008 40.6 20.26000023 25.71999931
## X2009 <NA> 20.55999947 24.73999977
## X2010 <NA> 20.78000069 23.70999908
## X2011 <NA> 21.10000038 22.59000015
## X2012 <NA> 21.65999985 21.29000092
## X2013 <NA> 22.14999962 20.05999947
## X2014 42.82749291 22.67000008 18.77000046
## X2015 <NA> 23.12000084 17.75
## X2016 <NA> 23.48999977 17.13999939
## X2017 <NA> 23.87000084 16.29999924
## X2018 <NA> 24.22999954 15.60000038
## X2019 <NA> 24.57999992 14.96000004
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.EMP.TOTL.SP.FE.NE.ZS SL.AGR.EMPL.FE.ZS per_lm_alllm.cov_q4_tot
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> 90.38999939 <NA>
## X1992 <NA> 90.12000275 <NA>
## X1993 <NA> 89.80000305 <NA>
## X1994 <NA> 89.25 <NA>
## X1995 <NA> 88.72000122 <NA>
## X1996 63.70000076 88.01999664 <NA>
## X1997 <NA> 87.19999695 <NA>
## X1998 <NA> 86.37999725 <NA>
## X1999 80.51000214 85.37999725 <NA>
## X2000 <NA> 84.62999725 <NA>
## X2001 <NA> 84.09999847 <NA>
## X2002 <NA> 83.65000153 <NA>
## X2003 93 83.19000244 <NA>
## X2004 <NA> 82.73000336 <NA>
## X2005 <NA> 82.34999847 <NA>
## X2006 <NA> 82.02999878 <NA>
## X2007 <NA> 81.68000031 <NA>
## X2008 78.73999786 81.15000153 <NA>
## X2009 <NA> 80.54000092 <NA>
## X2010 <NA> 79.83000183 <NA>
## X2011 <NA> 79.12000275 <NA>
## X2012 <NA> 78.44000244 <NA>
## X2013 74.90000153 77.76000214 <NA>
## X2014 76.40000153 76.94999695 <NA>
## X2015 <NA> 76.29000092 <NA>
## X2016 <NA> 75.88999939 <NA>
## X2017 24.55999947 75.22000122 <NA>
## X2018 <NA> 74.62000275 <NA>
## X2019 <NA> 74.08000183 <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.WAG.0714.MA.ZS SL.UEM.BASC.FE.ZS SL.TLF.0714.SW.ZS SL.SLF.0714.FE.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> <NA>
## X1992 <NA> <NA> <NA> <NA>
## X1993 <NA> <NA> <NA> <NA>
## X1994 <NA> <NA> <NA> <NA>
## X1995 <NA> <NA> <NA> <NA>
## X1996 <NA> <NA> <NA> <NA>
## X1997 <NA> <NA> <NA> <NA>
## X1998 <NA> <NA> <NA> <NA>
## X1999 4 <NA> 64.4 4.3
## X2000 <NA> <NA> <NA> <NA>
## X2001 <NA> <NA> <NA> <NA>
## X2002 <NA> <NA> <NA> <NA>
## X2003 <NA> <NA> <NA> <NA>
## X2004 <NA> <NA> <NA> <NA>
## X2005 <NA> <NA> <NA> <NA>
## X2006 <NA> <NA> <NA> <NA>
## X2007 <NA> <NA> <NA> <NA>
## X2008 2.54 1.080000043 86.50597704 5.71
## X2009 <NA> <NA> <NA> <NA>
## X2010 <NA> <NA> <NA> <NA>
## X2011 <NA> <NA> <NA> <NA>
## X2012 <NA> <NA> <NA> <NA>
## X2013 <NA> <NA> <NA> <NA>
## X2014 <NA> <NA> 91.24855939 <NA>
## X2015 <NA> <NA> <NA> <NA>
## X2016 <NA> <NA> <NA> <NA>
## X2017 <NA> 12.64000034 <NA> <NA>
## X2018 <NA> <NA> <NA> <NA>
## X2019 <NA> <NA> <NA> <NA>
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.EMP.WORK.FE.ZS SL.EMP.MPYR.FE.ZS SL.WAG.0714.ZS SL.UEM.BASC.MA.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 6.179999828 0.25 <NA> <NA>
## X1992 6.170000076 0.25 <NA> <NA>
## X1993 6.170000076 0.25 <NA> <NA>
## X1994 6.190000057 0.25 <NA> <NA>
## X1995 6.21999979 0.25 <NA> <NA>
## X1996 6.28000021 0.25999999 <NA> <NA>
## X1997 6.369999886 0.25999999 <NA> <NA>
## X1998 6.46999979 0.25999999 <NA> <NA>
## X1999 6.590000153 0.25999999 3.27 <NA>
## X2000 6.739999771 0.270000011 <NA> <NA>
## X2001 6.880000114 0.270000011 <NA> <NA>
## X2002 6.960000038 0.270000011 <NA> <NA>
## X2003 7.059999943 0.270000011 <NA> <NA>
## X2004 7.190000057 0.280000001 <NA> <NA>
## X2005 7.329999924 0.280000001 <NA> <NA>
## X2006 7.449999809 0.280000001 <NA> <NA>
## X2007 7.590000153 0.289999992 <NA> <NA>
## X2008 7.769999981 0.289999992 2.08 1
## X2009 8.020000458 0.300000012 <NA> <NA>
## X2010 8.31000042 0.310000002 <NA> <NA>
## X2011 8.670000076 0.319999993 <NA> <NA>
## X2012 9.130000114 0.340000004 <NA> <NA>
## X2013 9.619999886 0.349999994 <NA> <NA>
## X2014 10.18999958 0.370000005 <NA> <NA>
## X2015 10.71000004 0.389999986 <NA> <NA>
## X2016 11 0.400000006 <NA> <NA>
## X2017 11.38000011 0.409999996 <NA> 8.649999619
## X2018 11.75 0.419999987 <NA> <NA>
## X2019 12.10999966 0.430000007 <NA> <NA>
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.SLF.0714.MA.ZS SL.EMP.WORK.MA.ZS SL.EMP.MPYR.MA.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> 22.38999939 1.50999999
## X1992 <NA> 22.38999939 1.5
## X1993 <NA> 22.37999916 1.5
## X1994 <NA> 22.60000038 1.5
## X1995 <NA> 22.65999985 1.50999999
## X1996 <NA> 22.88999939 1.50999999
## X1997 <NA> 23.19000053 1.519999981
## X1998 <NA> 23.38999939 1.539999962
## X1999 4.1 23.71999931 1.549999952
## X2000 <NA> 24.27000046 1.559999943
## X2001 <NA> 24.76000023 1.570000052
## X2002 <NA> 24.64999962 1.580000043
## X2003 <NA> 24.92000008 1.590000033
## X2004 <NA> 25.31999969 1.590000033
## X2005 <NA> 25.62000084 1.600000024
## X2006 <NA> 25.89999962 1.610000014
## X2007 <NA> 26.17000008 1.620000005
## X2008 5.17 26.78000069 1.629999995
## X2009 <NA> 27.38999939 1.639999986
## X2010 <NA> 28.14999962 1.649999976
## X2011 <NA> 28.93000031 1.669999957
## X2012 <NA> 29.96999931 1.710000038
## X2013 <NA> 31.03000069 1.730000019
## X2014 <NA> 32.34999847 1.75999999
## X2015 <NA> 33.22000122 1.789999962
## X2016 <NA> 33.36999893 1.809999943
## X2017 <NA> 34.38000107 1.799999952
## X2018 <NA> 35.18999863 1.799999952
## X2019 <NA> 36.00999832 1.789999962
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## per_lm_alllm.adq_pop_tot SL.UEM.NEET.FE.ZS SL.TLF.0714.WK.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> <NA> 35.6
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 <NA> 24.11000061 13.49402296
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> 8.751440606
## X2015 <NA> <NA> <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> 45.81999969 <NA>
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.SRV.EMPL.FE.ZS SL.FAM.WORK.FE.ZS SL.EMP.SMGT.FE.ZS SL.AGR.0714.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 8.170000076 70.69999695 <NA> <NA>
## X1992 8.220000267 70.76000214 <NA> <NA>
## X1993 8.300000191 70.80000305 <NA> <NA>
## X1994 8.5 70.75 <NA> <NA>
## X1995 8.670000076 70.72000122 <NA> <NA>
## X1996 8.890000343 70.55000305 <NA> <NA>
## X1997 9.149999619 70.30000305 <NA> <NA>
## X1998 9.350000381 70.04000092 <NA> <NA>
## X1999 9.579999924 69.68000031 <NA> 87.01
## X2000 9.899999619 69.30000305 <NA> <NA>
## X2001 10.14999962 68.94999695 <NA> <NA>
## X2002 10.40999985 68.76999664 <NA> <NA>
## X2003 10.67000008 68.44000244 <NA> <NA>
## X2004 10.97000027 68.01999664 <NA> <NA>
## X2005 11.25 67.62000275 <NA> <NA>
## X2006 11.51000023 67.19999695 <NA> <NA>
## X2007 11.80000019 66.79000092 <NA> <NA>
## X2008 12.15999985 66.23000336 <NA> 88.97
## X2009 12.60000038 65.51000214 <NA> <NA>
## X2010 13.10000038 64.62999725 <NA> <NA>
## X2011 13.60999966 63.54999924 <NA> <NA>
## X2012 14.09000015 62.29000092 <NA> <NA>
## X2013 14.56999969 60.93000031 <NA> <NA>
## X2014 15.10999966 59.47000122 <NA> <NA>
## X2015 15.59000015 58.22999954 <NA> <NA>
## X2016 15.98999977 57.45000076 <NA> <NA>
## X2017 16.45000076 56.45000076 13.89999962 <NA>
## X2018 16.88999939 55.59000015 <NA> <NA>
## X2019 17.29999924 54.79000092 <NA> <NA>
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## per_lm_alllm.cov_q3_tot SL.UEM.TOTL.NE.ZS SL.UEM.ADVN.FE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> 4.5 <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> 1.850000024 <NA>
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 <NA> 1.330000043 5.900000095
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> <NA>
## X2015 <NA> 3.099999905 <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> 10.65999985 7.679999828
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.MNF.0714.FE.ZS SL.EMP.VULN.FE.ZS SL.EMP.1524.SP.MA.ZS SL.UEM.BASC.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> 93.55999756 80.96700287 <NA>
## X1992 <NA> 93.58000183 80.88800049 <NA>
## X1993 <NA> 93.58000374 80.76899719 <NA>
## X1994 <NA> 93.56999969 80.58100128 <NA>
## X1995 <NA> 93.53000069 80.58300018 <NA>
## X1996 <NA> 93.47000313 80.43900299 <NA>
## X1997 <NA> 93.37000275 80.36399841 <NA>
## X1998 <NA> 93.27000046 80.3259964 <NA>
## X1999 1.531663387 93.14999962 80.23200226 <NA>
## X2000 <NA> 93.00000381 79.72399902 <NA>
## X2001 <NA> 92.84999657 79.15299988 <NA>
## X2002 <NA> 92.76999664 78.60800171 <NA>
## X2003 <NA> 92.67000198 77.94100189 <NA>
## X2004 <NA> 92.5399971 77.31300354 <NA>
## X2005 <NA> 92.40000343 76.7009964 <NA>
## X2006 <NA> 92.25999641 76.10399628 <NA>
## X2007 <NA> 92.13000107 75.48300171 <NA>
## X2008 1.48 91.94000244 74.81800079 1.029999971
## X2009 <NA> 91.68000221 73.82299805 <NA>
## X2010 <NA> 91.38999748 72.7539978 <NA>
## X2011 <NA> 91.00999832 71.80699921 <NA>
## X2012 <NA> 90.53000069 70.84400177 <NA>
## X2013 <NA> 90.03000069 69.96399689 <NA>
## X2014 <NA> 89.43000031 69.01699829 <NA>
## X2015 <NA> 88.89999962 68.28299713 <NA>
## X2016 <NA> 88.61000061 68.16400146 <NA>
## X2017 <NA> 88.21000099 67.49500275 9.81000042
## X2018 <NA> 87.83000183 67.27700043 <NA>
## X2019 <NA> 87.47000122 67.08100128 <NA>
## X2020 <NA> <NA> 59.40100098 <NA>
## X2021 <NA> <NA> 60.61999893 <NA>
## SL.TLF.PART.FE.ZS SL.TLF.0714.WK.FE.ZS SL.SLF.0714.ZS SL.EMP.WORK.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> 14.56000042
## X1992 <NA> <NA> <NA> 14.60000038
## X1993 <NA> <NA> <NA> 14.64000034
## X1994 <NA> <NA> <NA> 14.81000042
## X1995 <NA> <NA> <NA> 14.86999989
## X1996 <NA> <NA> <NA> 15.01000023
## X1997 <NA> <NA> <NA> 15.15999985
## X1998 <NA> <NA> <NA> 15.26000023
## X1999 <NA> 46.2 4.23 15.43000031
## X2000 <NA> <NA> <NA> 15.73999977
## X2001 <NA> <NA> <NA> 16.04999924
## X2002 <NA> <NA> <NA> 16.03000069
## X2003 <NA> <NA> <NA> 16.21999931
## X2004 <NA> <NA> <NA> 16.47999954
## X2005 <NA> <NA> <NA> 16.69000053
## X2006 <NA> <NA> <NA> 16.89999962
## X2007 <NA> <NA> <NA> 17.10000038
## X2008 34.04999924 16.24081454 5.46 17.5
## X2009 <NA> <NA> <NA> 17.87000084
## X2010 <NA> <NA> <NA> 18.29999924
## X2011 <NA> <NA> <NA> 18.67000008
## X2012 <NA> <NA> <NA> 19.15999985
## X2013 <NA> <NA> <NA> 19.62999916
## X2014 <NA> 10.20677001 <NA> 20.27000046
## X2015 <NA> <NA> <NA> 20.70999908
## X2016 <NA> <NA> <NA> 20.85000038
## X2017 40.25999832 <NA> <NA> 21.47999954
## X2018 <NA> <NA> <NA> 22.04000092
## X2019 <NA> <NA> <NA> 22.67000008
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.EMP.MPYR.ZS per_lm_alllm.ben_q1_tot SL.UEM.TOTL.ZS SL.UEM.ADVN.MA.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 0.899999976 <NA> 1.766000032 <NA>
## X1992 0.899999976 <NA> 1.707000017 <NA>
## X1993 0.910000026 <NA> 1.715999961 <NA>
## X1994 0.910000026 <NA> 1.886999965 <NA>
## X1995 0.910000026 <NA> 1.738000035 <NA>
## X1996 0.920000017 <NA> 1.82099998 <NA>
## X1997 0.920000017 <NA> 1.83099997 <NA>
## X1998 0.930000007 <NA> 1.781000018 <NA>
## X1999 0.930000007 <NA> 1.850000024 <NA>
## X2000 0.930000007 <NA> 1.855000019 <NA>
## X2001 0.939999998 <NA> 1.746000051 <NA>
## X2002 0.939999998 <NA> 1.54400003 <NA>
## X2003 0.949999988 <NA> 1.595000029 <NA>
## X2004 0.949999988 <NA> 1.55400002 <NA>
## X2005 0.959999979 <NA> 1.457999945 <NA>
## X2006 0.959999979 <NA> 1.393000007 <NA>
## X2007 0.970000029 <NA> 1.33099997 <NA>
## X2008 0.970000029 <NA> 1.330000043 4.590000153
## X2009 0.980000019 <NA> 1.550999999 <NA>
## X2010 0.99000001 <NA> 1.820000052 <NA>
## X2011 0.99000001 <NA> 2.029999971 <NA>
## X2012 1 <NA> 2.329999924 <NA>
## X2013 1 <NA> 2.551000118 <NA>
## X2014 1.00999999 <NA> 2.944000006 <NA>
## X2015 1.00999999 <NA> 3.099999905 <NA>
## X2016 1.019999981 <NA> 2.868000031 <NA>
## X2017 1.019999981 <NA> 3.318000078 8.609999657
## X2018 1.029999971 <NA> 3.193000078 <NA>
## X2019 1.029999971 <NA> 3.096999884 <NA>
## X2020 <NA> <NA> 4.723999977 <NA>
## X2021 <NA> <NA> 5.052000046 <NA>
## SL.TLF.0714.SW.MA.ZS SL.MNF.0714.MA.ZS SL.EMP.VULN.MA.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> 76.10000229
## X1992 <NA> <NA> 76.11000061
## X1993 <NA> <NA> 76.11999893
## X1994 <NA> <NA> 75.90000153
## X1995 <NA> <NA> 75.84000015
## X1996 <NA> <NA> 75.59999847
## X1997 <NA> <NA> 75.2899971
## X1998 <NA> <NA> 75.08000183
## X1999 76.77725118 1.203637722 74.72999954
## X2000 <NA> <NA> 74.16999817
## X2001 <NA> <NA> 73.68000221
## X2002 <NA> <NA> 73.76999855
## X2003 <NA> <NA> 73.5
## X2004 <NA> <NA> 73.07999802
## X2005 <NA> <NA> 72.76999855
## X2006 <NA> <NA> 72.48999977
## X2007 <NA> <NA> 72.21000099
## X2008 89.76286564 1.27 71.60000038
## X2009 <NA> <NA> 70.96999931
## X2010 <NA> <NA> 70.20000076
## X2011 <NA> <NA> 69.40000153
## X2012 <NA> <NA> 68.33000183
## X2013 <NA> <NA> 67.22999763
## X2014 92.86377382 <NA> 65.88999939
## X2015 <NA> <NA> 64.99000168
## X2016 <NA> <NA> 64.82999802
## X2017 <NA> <NA> 63.81999969
## X2018 <NA> <NA> 63.01999855
## X2019 <NA> <NA> 62.20000172
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.EMP.1524.SP.NE.ZS SL.UEM.TOTL.MA.NE.ZS SL.UEM.1524.NE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> 2.029999971 2.980000019
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 74.26000214 1.590000033 2.180000067
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> <NA>
## X2015 <NA> 3.400000095 <NA>
## X2016 <NA> <NA> <NA>
## X2017 23.45000076 9.789999962 20.53000069
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.IND.EMPL.MA.ZS SL.EMP.TOTL.SP.NE.ZS SL.EMP.1524.SP.FE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 3.99000001 <NA> 77.31400299
## X1992 4.659999847 <NA> 77.53700256
## X1993 5.420000076 <NA> 77.78900146
## X1994 6.440000057 <NA> 78.02400208
## X1995 7.519999981 <NA> 78.37200165
## X1996 8.850000381 67.19999695 78.31099701
## X1997 10.43999958 <NA> 78.29299927
## X1998 12.18999958 <NA> 78.32099915
## X1999 14.34000015 84.25 78.36199951
## X2000 15.30000019 <NA> 77.87400055
## X2001 15.94999981 <NA> 77.41100311
## X2002 16.20999908 <NA> 76.95899963
## X2003 16.65999985 91.59999847 76.42099762
## X2004 17.03000069 <NA> 75.89299774
## X2005 17.28000069 <NA> 75.36799622
## X2006 17.51000023 <NA> 74.81199646
## X2007 17.70000076 <NA> 74.24199677
## X2008 18.17000008 82.22000122 73.63600159
## X2009 18.44000053 <NA> 73.22499847
## X2010 18.81999969 <NA> 72.85800171
## X2011 19.19000053 <NA> 72.68900299
## X2012 19.79999924 <NA> 72.72899628
## X2013 20.45000076 78.40000153 72.94799805
## X2014 21.20999908 79.80000305 73.08499908
## X2015 21.67000008 <NA> 73.22699738
## X2016 21.59000015 <NA> 73.87400055
## X2017 22.34000015 35.65999985 73.99099731
## X2018 22.87999916 <NA> 74.17900085
## X2019 23.30999947 <NA> 74.17900085
## X2020 <NA> <NA> 64.13600159
## X2021 <NA> <NA> 67.24099731
## SL.WAG.0714.FE.ZS SL.UEM.ADVN.ZS SL.MNF.0714.ZS SL.EMP.VULN.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> 84.54999924
## X1992 <NA> <NA> <NA> 84.49999809
## X1993 <NA> <NA> <NA> 84.45000076
## X1994 <NA> <NA> <NA> 84.29000092
## X1995 <NA> <NA> <NA> 84.21999741
## X1996 <NA> <NA> <NA> 84.07999802
## X1997 <NA> <NA> <NA> 83.91999817
## X1998 <NA> <NA> <NA> 83.81999969
## X1999 2.7 <NA> 1.38 83.63999939
## X2000 <NA> <NA> <NA> 83.33000183
## X2001 <NA> <NA> <NA> 83.02000046
## X2002 <NA> <NA> <NA> 83.02999878
## X2003 <NA> <NA> <NA> 82.84000015
## X2004 <NA> <NA> <NA> 82.56999969
## X2005 <NA> <NA> <NA> 82.34999847
## X2006 <NA> <NA> <NA> 82.13999939
## X2007 <NA> <NA> <NA> 81.93999863
## X2008 1.69 5.039999962 1.39 81.52999878
## X2009 <NA> <NA> <NA> 81.14999771
## X2010 <NA> <NA> <NA> 80.70999908
## X2011 <NA> <NA> <NA> 80.34000015
## X2012 <NA> <NA> <NA> 79.85000229
## X2013 <NA> <NA> <NA> 79.36999893
## X2014 <NA> <NA> <NA> 78.72000122
## X2015 <NA> <NA> <NA> 78.27999878
## X2016 <NA> <NA> <NA> 78.13000107
## X2017 <NA> 8.319999695 <NA> 77.5
## X2018 <NA> <NA> <NA> 76.93000031
## X2019 <NA> <NA> <NA> 76.31000137
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.EMP.1524.SP.ZS
## X1960 <NA>
## X1961 <NA>
## X1962 <NA>
## X1963 <NA>
## X1964 <NA>
## X1965 <NA>
## X1966 <NA>
## X1967 <NA>
## X1968 <NA>
## X1969 <NA>
## X1970 <NA>
## X1971 <NA>
## X1972 <NA>
## X1973 <NA>
## X1974 <NA>
## X1975 <NA>
## X1976 <NA>
## X1977 <NA>
## X1978 <NA>
## X1979 <NA>
## X1980 <NA>
## X1981 <NA>
## X1982 <NA>
## X1983 <NA>
## X1984 <NA>
## X1985 <NA>
## X1986 <NA>
## X1987 <NA>
## X1988 <NA>
## X1989 <NA>
## X1990 <NA>
## X1991 79.17900085
## X1992 79.26300049
## X1993 79.33399963
## X1994 79.35600281
## X1995 79.52400208
## X1996 79.40699768
## X1997 79.34600067
## X1998 79.32800293
## X1999 79.29199982
## X2000 78.78800201
## X2001 78.26300049
## X2002 77.75800323
## X2003 77.15200043
## X2004 76.5719986
## X2005 76.0039978
## X2006 75.43000031
## X2007 74.83799744
## X2008 74.20500183
## X2009 73.51300049
## X2010 72.80799866
## X2011 72.27100372
## X2012 71.84600067
## X2013 71.56199646
## X2014 71.19999695
## X2015 70.92199707
## X2016 71.19400024
## X2017 70.91300201
## X2018 70.87200165
## X2019 70.73799896
## X2020 61.81600189
## X2021 63.98600006# Keep rownames as a first column
#setDT(df_t, keep.rownames = TRUE)[]
nepal_df <- cbind(names = rownames(nepal_df), nepal_df)
colnames(nepal_df)[1] <- "YEAR"
# Removing a character 'X' from the column: YEAR in nepal_df
nepal_df$YEAR <- gsub("X","",as.character(nepal_df$YEAR))
nepal_df## YEAR TM.TAX.MRCH.WM.AR.ZS TM.TAX.MRCH.IP.ZS NY.TAX.NIND.KN
## X1960 1960 <NA> <NA> <NA>
## X1961 1961 <NA> <NA> <NA>
## X1962 1962 <NA> <NA> <NA>
## X1963 1963 <NA> <NA> <NA>
## X1964 1964 <NA> <NA> <NA>
## X1965 1965 <NA> <NA> 1075144628
## X1966 1966 <NA> <NA> 1406731222
## X1967 1967 <NA> <NA> 1185673493
## X1968 1968 <NA> <NA> 1446923644
## X1969 1969 <NA> <NA> 3024472246
## X1970 1970 <NA> <NA> -1115337050
## X1971 1971 <NA> <NA> 2481876086
## X1972 1972 <NA> <NA> 4049376524
## X1973 1973 <NA> <NA> 3225433883
## X1974 1974 <NA> <NA> 6511156281
## X1975 1975 <NA> <NA> 9405003569
## X1976 1976 <NA> <NA> 12570149882
## X1977 1977 <NA> <NA> 17604237553
## X1978 1978 <NA> <NA> 20950281283
## X1979 1979 <NA> <NA> 20859818526
## X1980 1980 <NA> <NA> 19654043511
## X1981 1981 <NA> <NA> 23180946411
## X1982 1982 <NA> <NA> 22186183085
## X1983 1983 <NA> <NA> 21432558471
## X1984 1984 <NA> <NA> 22547911341
## X1985 1985 <NA> <NA> 25833616503
## X1986 1986 <NA> <NA> 26400264605
## X1987 1987 <NA> <NA> 27218911058
## X1988 1988 <NA> <NA> 32705876319
## X1989 1989 <NA> <NA> 29809643007
## X1990 1990 <NA> <NA> 32075085848
## X1991 1991 <NA> <NA> 33779755004
## X1992 1992 <NA> <NA> 32457472104
## X1993 1993 15.96 56.73497 38102322604
## X1994 1994 <NA> <NA> 44412517305
## X1995 1995 <NA> <NA> 51546654806
## X1996 1996 <NA> <NA> 52631847606
## X1997 1997 <NA> <NA> 56691272306
## X1998 1998 20.09 50.15618 56158723806
## X1999 1999 14.01 20.58712 58700888407
## X2000 2000 16.84 18.55528 63282813207
## X2001 2001 <NA> <NA> 66320388207
## X2002 2002 15.45 18.44888 66006375707
## X2003 2003 15.86 19.35049 70331721108
## X2004 2004 15.49 21.48468 76378232809
## X2005 2005 15.4 21.65096 81629088709
## X2006 2006 13.13 19.45306 80394287609
## X2007 2007 13.29 45.03713 90633928910
## X2008 2008 421.5 22.3663 99768623911
## X2009 2009 12.65 45.41185 112000000000
## X2010 2010 13.05 45.86365 125000000000
## X2011 2011 12.45 48.90406 123000000000
## X2012 2012 12.45 22.64935 125000000000
## X2013 2013 15.04 40.18724 136000000000
## X2014 2014 10.55 48.15847 148000000000
## X2015 2015 12.31 48.41149 162000000000
## X2016 2016 12.35 48.11775 170000000000
## X2017 2017 <NA> <NA> 192000000000
## X2018 2018 12.36 19.94126 211000000000
## X2019 2019 14.22 19.22991 230000000000
## X2020 2020 11.6 20.06978 226000000000
## X2021 2021 <NA> <NA> 244000000000
## TM.TAX.TCOM.BC.ZS TM.TAX.MANF.BC.ZS GC.TAX.INTT.RV.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> 25.628645
## X1991 <NA> <NA> 24.20675944
## X1992 <NA> <NA> 22.94242197
## X1993 <NA> <NA> 21.80039788
## X1994 <NA> <NA> 24.76087264
## X1995 <NA> <NA> 25.9512628
## X1996 <NA> <NA> 23.31508942
## X1997 <NA> <NA> 23.55375415
## X1998 <NA> <NA> 23.11959537
## X1999 <NA> <NA> 24.37387964
## X2000 <NA> <NA> 23.49885907
## X2001 <NA> <NA> 23.72823683
## X2002 <NA> <NA> 23.04108043
## X2003 <NA> <NA> 21.89612399
## X2004 99.58 99.6 21.88843859
## X2005 99.58 99.6 19.04223091
## X2006 99.58 99.6 18.2445287
## X2007 99.57 99.61 16.34988095
## X2008 99.57 99.61 17.45746781
## X2009 99.57 99.61 16.14751576
## X2010 99.57 99.61 16.28623552
## X2011 99.57 99.61 14.46186363
## X2012 99.57 99.61 15.22137267
## X2013 99.55 99.64 17.20431016
## X2014 99.55 99.64 16.80061443
## X2015 99.55 99.64 16.63159732
## X2016 99.55 99.64 15.68282462
## X2017 <NA> <NA> 15.75943716
## X2018 99.54 99.63 15.7924584
## X2019 99.47 99.63 16.03055514
## X2020 99.47 99.63 15.81359711
## X2021 <NA> <NA> <NA>
## TM.TAX.MRCH.WM.FN.ZS TM.TAX.MRCH.SM.AR.ZS TM.TAX.TCOM.IP.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 15.96 20.87 26.03093
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 20.09 21.67 36
## X1999 14.01 14.36 18.19923
## X2000 16.84 14.41 25.73416
## X2001 <NA> <NA> <NA>
## X2002 15.45 14.66 22.92746
## X2003 15.86 14.87 23.14335
## X2004 15.49 14.82 24.2228
## X2005 15.49 14.72 23.89532
## X2006 13.26 13.11 18.42007
## X2007 13.46 13.05 44.80568
## X2008 421.5 15.07 29.09543
## X2009 12.9 12.77 45.96413
## X2010 13.35 12.98 48.29414
## X2011 12.8 13.15 51.06639
## X2012 12.87 12.85 24.60198
## X2013 15.65 11.82 43.44024
## X2014 11.31 12.66 48.11121
## X2015 13.08 12.63 47.64338
## X2016 13.07 12.65 47.42036
## X2017 <NA> <NA> <NA>
## X2018 13.42 12.79 28.52165
## X2019 15.43 20.2 26.6456
## X2020 12.66 12.1 29.7841
## X2021 <NA> <NA> <NA>
## TM.TAX.MANF.IP.ZS IC.TAX.GIFT.ZS GC.TAX.TOTL.GD.ZS GC.TAX.GSRV.VA.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> 6.996692968 7.375946529
## X1991 <NA> <NA> 6.620301936 6.911035363
## X1992 <NA> <NA> 6.483344072 6.968780364
## X1993 63.02853 <NA> 6.654637356 6.764000417
## X1994 <NA> <NA> 7.729134048 7.647323859
## X1995 <NA> <NA> 8.985513859 8.258410491
## X1996 <NA> <NA> 8.719914187 8.016256591
## X1997 <NA> <NA> 8.723659866 7.763240037
## X1998 56.96041 <NA> 8.639332547 7.365102977
## X1999 21.2132 <NA> 8.422505233 6.904100273
## X2000 16.97031 <NA> 8.735981111 7.031443074
## X2001 <NA> <NA> 8.802574747 6.371072049
## X2002 17.52297 <NA> 8.560583141 6.391161382
## X2003 18.56196 <NA> 8.651811853 6.722882993
## X2004 20.90894 <NA> 8.9749585 6.961713693
## X2005 21.16375 <NA> 9.179453421 7.607887563
## X2006 19.60244 <NA> 8.77975841 7.440960428
## X2007 45.07095 <NA> 9.772473404 8.221876521
## X2008 20.78373 <NA> 10.44008641 8.457497576
## X2009 45.29071 14.9 11.84403686 10.00975173
## X2010 45.33381 <NA> 13.39611544 12.40721413
## X2011 48.47382 <NA> 11.62467555 10.48746079
## X2012 22.2418 <NA> 12.04080455 10.473829
## X2013 39.67693 10.4 13.29788586 11.03921327
## X2014 48.17821 <NA> 13.99491049 11.66240116
## X2015 48.56504 <NA> 14.68630457 12.26907017
## X2016 48.25839 <NA> 16.14374976 13.050688
## X2017 <NA> <NA> 17.99936212 13.98934979
## X2018 18.46353 <NA> 19.08282606 16.40675864
## X2019 18.02381 <NA> 19.80906024 16.90920019
## X2020 18.52515 <NA> 15.77364973 10.51234967
## X2021 <NA> <NA> <NA> <NA>
## IC.TAX.LABR.CP.ZS GC.TAX.YPKG.CN TM.TAX.MRCH.BR.ZS NY.TAX.NIND.CN
## X1960 <NA> <NA> <NA> 54000000
## X1961 <NA> <NA> <NA> 56000000
## X1962 <NA> <NA> <NA> 61000000
## X1963 <NA> <NA> <NA> 64000000
## X1964 <NA> <NA> <NA> 70000000
## X1965 <NA> <NA> <NA> 78000000
## X1966 <NA> <NA> <NA> 178000000
## X1967 <NA> <NA> <NA> 91000000
## X1968 <NA> <NA> <NA> 108000000
## X1969 <NA> <NA> <NA> 161000000
## X1970 <NA> <NA> <NA> 55000000
## X1971 <NA> <NA> <NA> 163000000
## X1972 <NA> <NA> <NA> 239000000
## X1973 <NA> <NA> <NA> 204000000
## X1974 <NA> <NA> <NA> 383000000
## X1975 <NA> <NA> <NA> 635000000
## X1976 <NA> <NA> <NA> 805000000
## X1977 <NA> <NA> <NA> 1025000000
## X1978 <NA> <NA> <NA> 1306000000
## X1979 <NA> <NA> <NA> 1436000000
## X1980 <NA> <NA> <NA> 1464999900
## X1981 <NA> <NA> <NA> 1840999900
## X1982 <NA> <NA> <NA> 1951000100
## X1983 <NA> <NA> <NA> 2116999900
## X1984 <NA> <NA> <NA> 2385999900
## X1985 <NA> <NA> <NA> 2571000000
## X1986 <NA> <NA> <NA> 3007000000
## X1987 <NA> <NA> <NA> 3492000000
## X1988 <NA> <NA> <NA> 4692000000
## X1989 <NA> <NA> <NA> 4758000000
## X1990 <NA> 943000000 <NA> 5668000000
## X1991 <NA> 768000000 <NA> 6532000000
## X1992 <NA> 875000000 <NA> 7487000000
## X1993 <NA> 1174000000 <NA> 9702000000
## X1994 <NA> 1931000000 <NA> 12149000000
## X1995 <NA> 2751000000 <NA> 14261000000
## X1996 <NA> 3326000000 <NA> 15457000000
## X1997 <NA> 3954000000 <NA> 17952000000
## X1998 <NA> 4576000000 <NA> 18943000000
## X1999 <NA> 5774000000 <NA> 21456000000
## X2000 <NA> 6969000000 <NA> 23945000000
## X2001 <NA> 8517000000 <NA> 28090335300
## X2002 <NA> 8068000000 <NA> 29046000000
## X2003 <NA> 6879300000 <NA> 31906000000
## X2004 <NA> 8123300000 25.94 36050000000
## X2005 11.3 8790400000 25.94 40927000000
## X2006 11.3 9162391000 25.94 42966000000
## X2007 11.3 13723900000 26 51968000000
## X2008 11.3 16626800000 26 60401000000
## X2009 11.3 24051800000 26 78744000000
## X2010 11.3 33821327000 26 109000000000
## X2011 11.3 43121246000 26 123000000000
## X2012 11.3 51303230000 26 140000000000
## X2013 11.3 64186691000 26.26 172000000000
## X2014 11.3 75608249000 26.26 210000000000
## X2015 11.3 86168029438 26.26 237000000000
## X2016 11.3 114000000000 26.26 267000000000
## X2017 11.3 145000000000 <NA> 357000000000
## X2018 19.9 155000000000 26.33 445000000000
## X2019 26.2 188000000000 26.33 516000000000
## X2020 <NA> 213000000000 26.33 460000000000
## X2021 <NA> <NA> <NA> 615000000000
## TM.TAX.MRCH.SR.ZS IC.TAX.OTHR.CP.ZS GC.TAX.YPKG.ZS GC.TAX.IMPT.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> 13.03260224 36.96670675
## X1991 <NA> <NA> 9.370424597 36.18838458
## X1992 <NA> <NA> 8.837491163 32.76436724
## X1993 1.083305 <NA> 10.04191258 32.53784963
## X1994 <NA> <NA> 12.53733281 31.34657837
## X1995 <NA> <NA> 13.96872144 33.94942622
## X1996 <NA> <NA> 15.32365814 33.0661138
## X1997 <NA> <NA> 16.15790119 33.16987455
## X1998 8.21062 <NA> 17.60609442 31.84179139
## X1999 1.742424 <NA> 20.0430436 31.67870036
## X2000 2.08161 <NA> 21.02135618 31.19268822
## X2001 <NA> <NA> 21.9143188 30.94043484
## X2002 0.2909246 <NA> 20.51308128 29.7805802
## X2003 0.2907183 <NA> 16.15355896 31.3805419
## X2004 0.2972189 <NA> 16.86276545 31.04311544
## X2005 0.585547 1.3 16.24698733 27.51752155
## X2006 0.5581049 1.3 15.95485015 25.41960101
## X2007 0.365099 2.7 19.29500455 22.39482501
## X2008 0 2.7 19.52524444 24.09183681
## X2009 0.3645801 2.9 20.54808447 22.0116308
## X2010 0.3813659 2.8 21.16672162 20.99344106
## X2011 0.2817439 3 23.79042862 19.39028537
## X2012 0.3390478 3 24.2312975 19.32051265
## X2013 0.5153311 1 24.76195089 20.95862122
## X2014 0 1 24.19929253 20.52298279
## X2015 0.8449514 1.1 24.20838353 19.81470993
## X2016 0.887735 1.1 27.11610048 18.47785808
## X2017 <NA> 1.1 26.15179132 17.76787505
## X2018 0.2496329 1.1 23.47117513 18.44066251
## X2019 0.2159827 0.7 24.63362342 17.92326296
## X2020 0.2147219 <NA> 34.76302493 19.1697738
## X2021 <NA> <NA> <NA> <NA>
## GC.TAX.OTHR.CN GC.TAX.IMPT.CN TM.TAX.TCOM.WM.AR.ZS TM.TAX.MANF.WM.AR.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 98500000 2674800000 <NA> <NA>
## X1991 106000000 2966000000 <NA> <NA>
## X1992 87000000 3244000000 <NA> <NA>
## X1993 86000000 3804000000 9.24 22.1
## X1994 69000000 4828000000 <NA> <NA>
## X1995 69000000 6686000000 <NA> <NA>
## X1996 105000000 7177000000 <NA> <NA>
## X1997 269000000 8117000000 <NA> <NA>
## X1998 436000000 8276000000 17.09 30.35
## X1999 522000000 9126000000 12 16.41
## X2000 575000000 10341000000 13.83 20.87
## X2001 605000000 12025000000 <NA> <NA>
## X2002 839000000 11713000000 8.96 18.59
## X2003 1252600000 13364000000 9.39 18.99
## X2004 1391200000 14954400000 9.51 18.38
## X2005 1675900000 14888300000 9.35 18.28
## X2006 1771133000 14597713000 11.59 14.34
## X2007 2007900000 15928700000 11.62 14.56
## X2008 2451000000 20515500000 917.75 150.92
## X2009 3195600000 25764900000 11.18 13.79
## X2010 1063759000 33544450000 11.13 14.25
## X2011 1324195000 35145784000 11.08 13.7
## X2012 2908351000 40905969000 10.9 13.78
## X2013 3489525000 54327890000 13.75 15.52
## X2014 4485704000 64121990000 8.08 13.12
## X2015 5508835142 70529058946 11.35 13.17
## X2016 5990203529 77802641716 12.26 12.4
## X2017 27392715000 98410300000 <NA> <NA>
## X2018 10465303530 122000000000 11.14 12.77
## X2019 8442841000 137000000000 12.97 14.74
## X2020 6619530000 118000000000 11.45 11.21
## X2021 <NA> <NA> <NA> <NA>
## IC.TAX.PAYM GC.TAX.EXPT.CN IC.TAX.TOTL.CP.ZS IC.FRM.INFM.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> 32200000 <NA> <NA>
## X1991 <NA> 78000000 <NA> <NA>
## X1992 <NA> 115000000 <NA> <NA>
## X1993 <NA> 141000000 <NA> <NA>
## X1994 <NA> 427000000 <NA> <NA>
## X1995 <NA> 332000000 <NA> <NA>
## X1996 <NA> 150000000 <NA> <NA>
## X1997 <NA> 168000000 <NA> <NA>
## X1998 <NA> 217000000 <NA> <NA>
## X1999 <NA> 378000000 <NA> <NA>
## X2000 <NA> 432000000 <NA> <NA>
## X2001 <NA> 493000000 <NA> <NA>
## X2002 <NA> 917000000 <NA> <NA>
## X2003 <NA> 855600000 <NA> <NA>
## X2004 <NA> 527100000 <NA> <NA>
## X2005 34 697900000 32.5 <NA>
## X2006 34 625284000 32.5 <NA>
## X2007 34 698600000 32.8 <NA>
## X2008 34 445600000 34.1 <NA>
## X2009 34 793800000 32.5 <NA>
## X2010 34 915461000 31.7 <NA>
## X2011 34 292395000 31.5 <NA>
## X2012 34 861574000 31.5 <NA>
## X2013 34 439097000 29.9 <NA>
## X2014 34 1069880000 29.9 <NA>
## X2015 34 314849716.4 29.9 <NA>
## X2016 34 159554770.7 29.9 <NA>
## X2017 34 125130000 30 <NA>
## X2018 39 102360000 37 <NA>
## X2019 46 237634000 41.8 <NA>
## X2020 <NA> 112370000 <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## GC.TAX.GSRV.CN GC.TAX.INTT.CN TM.TAX.TCOM.WM.FN.ZS TM.TAX.MANF.WM.FN.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 3487200000 2707000000 <NA> <NA>
## X1991 4278000000 3044000000 <NA> <NA>
## X1992 5580000000 3359000000 <NA> <NA>
## X1993 6486000000 3945000000 9.25 22.1
## X1994 8147000000 5255000000 <NA> <NA>
## X1995 9856000000 7018000000 <NA> <NA>
## X1996 10947000000 7327000000 <NA> <NA>
## X1997 11938000000 8310000000 <NA> <NA>
## X1998 12477000000 8502000000 17.09 30.35
## X1999 12994000000 9518000000 12 16.41
## X2000 14795000000 10813000000 13.83 20.87
## X2001 17191000000 12552000000 <NA> <NA>
## X2002 17765000000 12659000000 8.96 18.59
## X2003 20218600000 14236400000 9.39 18.99
## X2004 23103700000 15554800000 9.51 18.38
## X2005 27937000000 15701500000 9.39 18.41
## X2006 31149795000 15343676000 11.65 14.5
## X2007 38687300000 16707600000 11.7 14.78
## X2008 45015200000 21062400000 917.75 150.92
## X2009 62995100000 26808800000 11.3 14.11
## X2010 89681363000 35218933000 11.3 14.62
## X2011 100000000000 36575544000 11.29 14.15
## X2012 114000000000 43390806000 11.17 14.31
## X2013 135000000000 56931815000 14.25 16.17
## X2014 164000000000 67980556000 8.49 14.11
## X2015 189000000000 74844459070 11.93 14.09
## X2016 219000000000 82184049221 12.89 13.18
## X2017 279000000000 103000000000 <NA> <NA>
## X2018 367000000000 127000000000 12.2 13.82
## X2019 424000000000 143000000000 14.06 15.99
## X2020 270000000000 124000000000 12.49 12.29
## X2021 <NA> <NA> <NA> <NA>
## TM.TAX.MRCH.SM.FN.ZS TM.TAX.TCOM.SM.AR.ZS TM.TAX.MANF.SM.AR.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 16.57 11.34 22.54
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 16.2 16.64 23.23
## X1999 12.43 11.95 14.87
## X2000 13.29 15.94 14.12
## X2001 <NA> <NA> <NA>
## X2002 13.62 14.18 14.71
## X2003 13.72 14.19 14.95
## X2004 13.79 14.35 14.86
## X2005 13.76 14.08 14.8
## X2006 12.51 14.99 12.74
## X2007 12.56 14.88 12.69
## X2008 15.41 22.36 13.78
## X2009 12.43 16.02 12.18
## X2010 12.33 16.58 12.29
## X2011 12.35 17.94 12.38
## X2012 12.2 17.29 12.13
## X2013 12.21 16 11.21
## X2014 12.23 16.22 12.12
## X2015 12.25 16.86 12.07
## X2016 12.14 18.4 11.89
## X2017 <NA> <NA> <NA>
## X2018 13.19 23.78 11.11
## X2019 17.27 73.04 12.57
## X2020 12.6 18.7 11.17
## X2021 <NA> <NA> <NA>
## IC.FRM.METG.ZS GC.TAX.GSRV.RV.ZS TM.TAX.MRCH.BC.ZS NY.TAX.NIND.CD
## X1960 <NA> <NA> <NA> 7087544.297
## X1961 <NA> <NA> <NA> 7350045.938
## X1962 <NA> <NA> <NA> 8006300.039
## X1963 <NA> <NA> <NA> 6890092.263
## X1964 <NA> <NA> <NA> 6913580.247
## X1965 <NA> <NA> <NA> 10237563.98
## X1966 <NA> <NA> <NA> 23362646.02
## X1967 <NA> <NA> <NA> 11943824.65
## X1968 <NA> <NA> <NA> 11627030.69
## X1969 <NA> <NA> <NA> 15901234.57
## X1970 <NA> <NA> <NA> 5432098.765
## X1971 <NA> <NA> <NA> 16098765.43
## X1972 <NA> <NA> <NA> 23604938.27
## X1973 <NA> <NA> <NA> 19892541.27
## X1974 <NA> <NA> <NA> 36420692.28
## X1975 <NA> <NA> <NA> 60384176.49
## X1976 <NA> <NA> <NA> 67235734.33
## X1977 <NA> <NA> <NA> 82000000
## X1978 <NA> <NA> <NA> 106174545.8
## X1979 <NA> <NA> <NA> 119666666.7
## X1980 <NA> <NA> <NA> 122083325
## X1981 <NA> <NA> <NA> 153416658.3
## X1982 <NA> <NA> <NA> 150815928.8
## X1983 <NA> <NA> <NA> 153455829.8
## X1984 <NA> <NA> <NA> 156353407.2
## X1985 <NA> <NA> <NA> 144588476.8
## X1986 <NA> <NA> <NA> 153835135
## X1987 <NA> <NA> <NA> 161698856.7
## X1988 <NA> <NA> <NA> 212740875.1
## X1989 <NA> <NA> <NA> 187893171.8
## X1990 <NA> 33.01522381 <NA> 198818593.8
## X1991 <NA> 34.01988072 <NA> 206905289.8
## X1992 <NA> 38.11215081 <NA> 166748329.6
## X1993 <NA> 35.84217507 <NA> 202125000
## X1994 <NA> 38.38759836 <NA> 247938775.5
## X1995 <NA> 36.44566061 <NA> 286365461.8
## X1996 <NA> 34.83421371 <NA> 280781108.1
## X1997 <NA> 33.83690938 <NA> 314781693.8
## X1998 <NA> 33.92886278 <NA> 305778853.9
## X1999 <NA> 33.27528809 <NA> 315761589.4
## X2000 <NA> 32.15255895 <NA> 346677283.9
## X2001 <NA> 32.49777879 <NA> 382181432.7
## X2002 <NA> 32.3346863 <NA> 382536546.8
## X2003 <NA> 31.09697483 <NA> 410335949.2
## X2004 <NA> 32.51111674 99.35 488543949.3
## X2005 <NA> 33.88101804 99.35 564540713.2
## X2006 <NA> 37.03892918 99.35 594070905.2
## X2007 <NA> 37.8589833 99.37 737265472.6
## X2008 <NA> 37.31062961 99.37 929013185.9
## X2009 63.4 37.94330107 99.37 1024265562
## X2010 <NA> 41.47121093 99.37 1467183643
## X2011 <NA> 39.63207921 99.37 1703933395
## X2012 <NA> 40.03297494 99.37 1727421573
## X2013 65.6 40.67709026 99.42 1955546313
## X2014 <NA> 40.62102422 99.42 2138934650
## X2015 <NA> 42.09241158 99.42 2382471163
## X2016 <NA> 41.73543924 99.42 2508487301
## X2017 <NA> 42.59794073 <NA> 3357251910
## X2018 <NA> 45.7311523 99.41 4262858915
## X2019 <NA> 47.46473999 99.4 4575218471
## X2020 <NA> 34.45891513 99.4 3956454691
## X2021 <NA> <NA> <NA> 5216026828
## TM.TAX.TCOM.SM.FN.ZS TM.TAX.MANF.SM.FN.ZS IC.TAX.METG GC.TAX.YPKG.RV.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> 8.927895175
## X1991 <NA> <NA> <NA> 6.107355865
## X1992 <NA> <NA> <NA> 5.976367734
## X1993 8.78 18.68 <NA> 6.487621574
## X1994 <NA> <NA> <NA> 9.098619422
## X1995 <NA> <NA> <NA> 10.17268794
## X1996 <NA> <NA> <NA> 10.5835932
## X1997 <NA> <NA> <NA> 11.20716533
## X1998 9.14 18.12 <NA> 12.44357426
## X1999 8.83 13.33 <NA> 14.78617157
## X2000 11.58 13.64 <NA> 15.14506139
## X2001 <NA> <NA> <NA> 16.10049339
## X2002 11.98 13.9 <NA> 14.68484374
## X2003 12.06 14.01 <NA> 10.58062472
## X2004 12.11 14.07 <NA> 11.43096364
## X2005 11.91 14.09 <NA> 10.66069016
## X2006 11.81 12.5 <NA> 10.89461909
## X2007 11.86 12.57 <NA> 13.43006364
## X2008 19.2 14.09 <NA> 13.78104232
## X2009 12.2 12.3 2 14.48691547
## X2010 12.02 12.22 <NA> 15.63994278
## X2011 12.27 12.17 <NA> 17.05001515
## X2012 12.08 12.05 <NA> 17.99702875
## X2013 11.8 12.19 2.7 19.39667197
## X2014 11.75 12.23 <NA> 18.68571124
## X2015 11.86 12.23 <NA> 19.14786994
## X2016 12.15 11.97 <NA> 21.78746495
## X2017 <NA> <NA> <NA> 22.14941899
## X2018 15.82 12.12 <NA> 19.26866565
## X2019 27.66 13.55 <NA> 21.0622036
## X2020 13.29 12.19 <NA> 27.23947011
## X2021 <NA> <NA> <NA> <NA>
## IC.TAX.DURS GC.TAX.TOTL.CN TM.TAX.TCOM.BR.ZS TM.TAX.MANF.BR.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> 7235700000 <NA> <NA>
## X1991 <NA> 8196000000 <NA> <NA>
## X1992 <NA> 9901000000 <NA> <NA>
## X1993 <NA> 11691000000 <NA> <NA>
## X1994 <NA> 15402000000 <NA> <NA>
## X1995 <NA> 19694000000 <NA> <NA>
## X1996 <NA> 21705000000 <NA> <NA>
## X1997 <NA> 24471000000 <NA> <NA>
## X1998 <NA> 25991000000 <NA> <NA>
## X1999 <NA> 28808000000 <NA> <NA>
## X2000 <NA> 33152000000 <NA> <NA>
## X2001 <NA> 38865000000 <NA> <NA>
## X2002 <NA> 39331000000 <NA> <NA>
## X2003 <NA> 42586900000 <NA> <NA>
## X2004 <NA> 48173000000 32.41 24.07
## X2005 408 54104800000 32.41 24.07
## X2006 408 57426995000 32.41 24.07
## X2007 408 71126700000 32.32 24.14
## X2008 408 85155400000 32.32 24.14
## X2009 338 117000000000 32.32 24.14
## X2010 338 160000000000 32.32 24.14
## X2011 326 181000000000 32.32 24.14
## X2012 326 212000000000 32.32 24.14
## X2013 334 259000000000 32.62 24.12
## X2014 334 312000000000 32.62 24.12
## X2015 334 356000000000 32.62 24.12
## X2016 339 421000000000 32.62 24.12
## X2017 339 554000000000 <NA> <NA>
## X2018 353 659000000000 32.88 24.12
## X2019 377 764000000000 32.88 24.12
## X2020 <NA> 613000000000 32.88 24.12
## X2021 <NA> <NA> <NA> <NA>
## TM.TAX.TCOM.SR.ZS TM.TAX.MANF.SR.ZS IC.TAX.PRFT.CP.ZS GC.TAX.EXPT.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> 0.445015686
## X1991 <NA> <NA> <NA> 0.951683748
## X1992 <NA> <NA> <NA> 1.161498839
## X1993 6.546392 0.0202306 <NA> 1.20605594
## X1994 <NA> <NA> <NA> 2.772367225
## X1995 <NA> <NA> <NA> 1.685792627
## X1996 <NA> <NA> <NA> 0.691085003
## X1997 <NA> <NA> <NA> 0.686526909
## X1998 25.5 1.021711 <NA> 0.83490439
## X1999 8.764368 0.0118245 <NA> 1.312135518
## X2000 11.59196 0.0168691 <NA> 1.303088803
## X2001 <NA> <NA> <NA> 1.268493503
## X2002 1.727116 0.0085063 <NA> 2.331494241
## X2003 1.727116 0.0084991 <NA> 2.009068516
## X2004 1.727116 0.0169578 <NA> 1.094181388
## X2005 3.174603 0.0686577 19.9 1.289904038
## X2006 3.369524 0 19.9 1.088832874
## X2007 2.204783 0 18.8 0.982190935
## X2008 0 0 20.1 0.523278618
## X2009 2.204783 0 18.4 0.67816419
## X2010 2.153031 0 17.6 0.572931634
## X2011 1.772304 0 17.2 0.161317286
## X2012 1.862421 0.0454726 17.2 0.406934532
## X2013 3.498542 0 17.6 0.169394904
## X2014 0 0 17.6 0.342427439
## X2015 5.678592 0 17.6 0.088455112
## X2016 5.920496 0 17.6 0.037893706
## X2017 <NA> <NA> 17.6 0.022592088
## X2018 1.49328 0 16 0.015521019
## X2019 1.369142 0 15 0.031086925
## X2020 1.472031 0 <NA> 0.018319488
## X2021 <NA> <NA> <NA> <NA>
## GC.TAX.OTHR.RV.ZS TG.VAL.TOTL.GD.ZS NY.GDP.MKTP.KD NY.GDP.COAL.RT.ZS
## X1960 <NA> 10.81964913 3312006963 <NA>
## X1961 <NA> 4.887589561 3375208865 <NA>
## X1962 <NA> 5.225651458 3439686156 <NA>
## X1963 <NA> 23.54371534 3504872049 <NA>
## X1964 <NA> 28.42175934 3768874732 <NA>
## X1965 <NA> 22.44082511 3723528046 <NA>
## X1966 <NA> 13.89483242 3985688368 <NA>
## X1967 <NA> 13.18330455 3923053375 <NA>
## X1968 <NA> 13.59700924 3949552951 <NA>
## X1969 <NA> 17.62523504 4125838151 <NA>
## X1970 <NA> 13.51077783 4232119417 <NA>
## X1971 <NA> 15.06628932 4181529368 0
## X1972 <NA> 13.96349642 4311901106 0
## X1973 <NA> 17.17927206 4291353333 0
## X1974 <NA> 16.42098752 4563150075 0
## X1975 <NA> 17.26119145 4629611019 0
## X1976 <NA> 17.96539507 4833246135 0
## X1977 <NA> 18.01215278 4979063887 0
## X1978 <NA> 19.4494012 5198428566 0
## X1979 <NA> 19.60837263 5321572986 0
## X1980 <NA> 21.68643834 5198144730 0
## X1981 <NA> 22.41183596 5631772619 0
## X1982 <NA> 20.16339571 5844618406 0
## X1983 <NA> 22.76094046 5670600395 0
## X1984 <NA> 21.07540845 6219578592 0
## X1985 <NA> 23.39771498 6601765803 0
## X1986 <NA> 21.11699411 6903179359 0
## X1987 <NA> 24.41452994 7020230929 0
## X1988 <NA> 24.92106598 7560564675 0
## X1989 <NA> 21.0199161 7887910507 0
## X1990 0.932553208 24.14844744 8253518026 0
## X1991 0.842942346 25.34759816 8779114468 0
## X1992 0.594221706 33.66447434 9139620604 0
## X1993 0.475243148 34.8083469 9491482290 0
## X1994 0.325118975 37.3022803 10271302732 0
## X1995 0.255149207 38.12679366 10627557926 0
## X1996 0.334118246 39.43311518 11193824413 0
## X1997 0.762450044 42.67394737 11758957236 0
## X1998 1.185620275 35.41823863 12113653185 0
## X1999 1.336747759 40.20945164 12648177008 0
## X2000 1.249592524 43.26339436 13432363981 0.003580902
## X2001 1.143688917 36.79007408 14077102964 0.003055141
## X2002 1.527092699 32.8382215 14094015643 0.002557438
## X2003 1.926546382 38.16460418 14650029882 0.002328474
## X2004 1.957671958 37.25629615 15336032658 0.004864822
## X2005 2.032472998 38.69495881 15869600999 0.004762176
## X2006 2.105980786 36.82115004 16403551941 0.007805739
## X2007 1.96490974 38.64175484 16963169002 0.006617356
## X2008 2.031499431 36.10077051 17998709258 0.012369547
## X2009 1.924778481 40.50568563 18814604917 0.006176697
## X2010 0.491912393 37.42503643 19720794305 0.007851147
## X2011 0.523582848 31.02365193 20395606013 0.007641003
## X2012 1.020241348 32.1474716 21348105727 0.00575471
## X2013 1.054504769 33.61578268 22100659154 0.004958637
## X2014 1.108590276 37.30049311 23429236486 0.004321669
## X2015 1.22414844 30.26584262 24360795411 0.003273018
## X2016 1.143084483 39.27157658 24466305357 0.003656839
## X2017 4.188812407 38.26852548 26662713937 0.004472639
## X2018 1.302742504 40.76526117 28695046274 0.004915582
## X2019 0.944350687 38.92799874 30605291409 0.002196459
## X2020 0.84561214 32.03955724 29880062111 0.001886447
## X2021 <NA> 56.77228995 31149050463 <NA>
## NY.GDP.PCAP.PP.KD NY.GDP.MINR.RT.ZS NY.GDP.MKTP.KN NY.GDP.DEFL.KD.ZG.AD
## X1960 <NA> <NA> 253000000000 <NA>
## X1961 <NA> <NA> 258000000000 <NA>
## X1962 <NA> <NA> 263000000000 <NA>
## X1963 <NA> <NA> 268000000000 <NA>
## X1964 <NA> <NA> 288000000000 <NA>
## X1965 <NA> <NA> 285000000000 <NA>
## X1966 <NA> <NA> 305000000000 <NA>
## X1967 <NA> <NA> 300000000000 <NA>
## X1968 <NA> <NA> 302000000000 <NA>
## X1969 <NA> <NA> 315000000000 <NA>
## X1970 <NA> 0 324000000000 <NA>
## X1971 <NA> 0 320000000000 <NA>
## X1972 <NA> 0 330000000000 <NA>
## X1973 <NA> 0 328000000000 <NA>
## X1974 <NA> 0.094538945 349000000000 <NA>
## X1975 <NA> 0 354000000000 <NA>
## X1976 <NA> 0 369000000000 <NA>
## X1977 <NA> 1.034875601 381000000000 <NA>
## X1978 <NA> 1.081464371 397000000000 <NA>
## X1979 <NA> 1.580340084 407000000000 <NA>
## X1980 <NA> 1.445373485 397000000000 <NA>
## X1981 <NA> 0.365879238 431000000000 <NA>
## X1982 <NA> 0.179660197 447000000000 <NA>
## X1983 <NA> 0.627780478 434000000000 <NA>
## X1984 <NA> 0.192764463 475000000000 <NA>
## X1985 <NA> 0 505000000000 <NA>
## X1986 <NA> 0 528000000000 <NA>
## X1987 <NA> 0 537000000000 <NA>
## X1988 <NA> 0 578000000000 <NA>
## X1989 <NA> 0 603000000000 <NA>
## X1990 1613.071851 0 631000000000 10.71588515
## X1991 1671.583428 0 671000000000 12.5446382
## X1992 1693.721027 0 699000000000 18.48909464
## X1993 1711.571209 0 726000000000 10.77490927
## X1994 1803.696883 0 785000000000 4.81598619
## X1995 1819.966418 0 812000000000 6.300861554
## X1996 1872.311784 0 856000000000 7.82303556
## X1997 1923.780052 0 899000000000 7.279092987
## X1998 1941.145868 0 926000000000 4.107850671
## X1999 1987.825045 0 967000000000 8.887047432
## X2000 2073.054338 0 1030000000000 4.472433715
## X2001 2136.328983 0 1080000000000 3.412486587
## X2002 2106.152373 0 1080000000000 3.934857896
## X2003 2158.231649 0 1120000000000 3.070304967
## X2004 2229.210718 0 1170000000000 4.166427154
## X2005 2277.63361 0 1210000000000 6.119390412
## X2006 2325.168216 0 1250000000000 7.360039272
## X2007 2375.70189 0 1300000000000 7.603288946
## X2008 2493.88453 0 1380000000000 5.61985452
## X2009 2585.896329 0 1440000000000 15.90833021
## X2010 2697.432423 0 1510000000000 15.14693244
## X2011 2786.843939 0 1560000000000 26.39730667
## X2012 2922.619609 0 1630000000000 7.741150029
## X2013 3033.780787 0 1690000000000 7.082650999
## X2014 3217.44851 0 1790000000000 8.035366199
## X2015 3331.87177 0 1860000000000 4.409045432
## X2016 3315.814414 0.000142212 1870000000000 7.150334788
## X2017 3565.197807 0 2040000000000 8.261412551
## X2018 3773.715918 0 2190000000000 4.355858465
## X2019 3952.760349 0 2340000000000 4.691155935
## X2020 3789.150372 0 2280000000000 3.21740233
## X2021 3878.44442 <NA> 2380000000000 5.511971478
## NV.SRV.TOTL.ZS ER.GDP.FWTL.M3.KD BX.TRF.PWKR.DT.GD.ZS SL.GDP.PCAP.EM.KD
## X1960 98.60572937 <NA> <NA> <NA>
## X1961 98.61830739 <NA> <NA> <NA>
## X1962 98.60539098 <NA> <NA> <NA>
## X1963 98.6135182 <NA> <NA> <NA>
## X1964 98.60640656 <NA> <NA> <NA>
## X1965 23.17029674 <NA> <NA> <NA>
## X1966 19.69894718 <NA> <NA> <NA>
## X1967 22.52533402 <NA> <NA> <NA>
## X1968 21.02328535 <NA> <NA> <NA>
## X1969 21.20225324 <NA> <NA> <NA>
## X1970 21.04242587 <NA> <NA> <NA>
## X1971 22.19736195 <NA> <NA> <NA>
## X1972 20.75417607 <NA> <NA> <NA>
## X1973 23.03140142 <NA> <NA> <NA>
## X1974 19.8860064 <NA> <NA> <NA>
## X1975 19.2987746 <NA> <NA> <NA>
## X1976 20.84051926 <NA> <NA> <NA>
## X1977 23.40856424 <NA> <NA> <NA>
## X1978 23.36813558 <NA> <NA> <NA>
## X1979 22.16970505 <NA> <NA> <NA>
## X1980 24.65847007 <NA> <NA> <NA>
## X1981 24.93133757 <NA> <NA> <NA>
## X1982 24.49012584 <NA> <NA> <NA>
## X1983 25.21326955 <NA> <NA> <NA>
## X1984 24.81086271 <NA> <NA> <NA>
## X1985 31.35062036 <NA> <NA> <NA>
## X1986 30.90768789 <NA> <NA> <NA>
## X1987 31.62031818 <NA> <NA> <NA>
## X1988 30.9247653 <NA> <NA> <NA>
## X1989 31.32554414 <NA> <NA> <NA>
## X1990 30.36957531 <NA> <NA> <NA>
## X1991 33.55304077 <NA> <NA> 3438.537947
## X1992 33.03381999 <NA> <NA> 3473.403304
## X1993 35.06107626 <NA> 1.497936602 3498.156199
## X1994 33.06987434 <NA> 1.23238961 3677.60167
## X1995 33.17805407 <NA> 1.291100177 3688.247067
## X1996 33.36949054 <NA> 0.976652461 3794.3203
## X1997 33.41912853 <NA> 1.005512415 3895.0982
## X1998 35.23442304 <NA> 1.390060907 3922.834548
## X1999 34.58437124 <NA> 1.658099124 4010.796896
## X2000 34.71071549 <NA> 2.029360644 4180.486799
## X2001 44.45294585 <NA> 2.446875396 4299.002233
## X2002 43.55295434 1.481204951 11.21301963 4221.191302
## X2003 44.12663973 <NA> 12.18032388 4315.958411
## X2004 45.17195188 <NA> 11.30898998 4442.469201
## X2005 45.83415336 <NA> 14.90510198 4519.497454
## X2006 47.93390451 <NA> 16.06896468 4578.355778
## X2007 48.77697585 1.790103371 16.79181348 4647.737679
## X2008 49.20432338 <NA> 21.73810397 4853.434008
## X2009 48.61377101 <NA> 23.20762544 5002.507378
## X2010 46.39883791 <NA> 21.64698527 5184.357147
## X2011 47.90291444 <NA> 19.54630987 5330.549688
## X2012 47.98745259 2.247855211 22.08212082 5557.784694
## X2013 48.75521701 <NA> 25.19470031 5723.105479
## X2014 49.56401975 <NA> 25.90512496 6031.347043
## X2015 50.53989698 <NA> 27.62609167 6196.548655
## X2016 51.59804409 <NA> 26.96057769 6053.330917
## X2017 51.84978229 2.807458481 23.91354411 6442.269479
## X2018 51.59044347 <NA> 25.02641995 6719.346198
## X2019 52.02271626 <NA> 24.11636286 6947.961423
## X2020 53.93884674 <NA> 24.25023797 7221.739239
## X2021 52.58395192 <NA> <NA> 7132.779194
## SE.XPD.TERT.PC.ZS NY.GDS.TOTL.ZS NY.GDP.MKTP.KD.ZG NY.GDP.DEFL.KD.ZG
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> 1.908265972 2.68799999
## X1962 <NA> <NA> 1.910320031 5.897091004
## X1963 <NA> <NA> 1.895111645 3.569925064
## X1964 <NA> <NA> 7.532448553 1.194719681
## X1965 <NA> <NA> -1.203189018 12.88519396
## X1966 <NA> <NA> 7.040643145 15.21881351
## X1967 <NA> <NA> -1.5714975 -5.667665035
## X1968 <NA> <NA> 0.675483463 11.0658262
## X1969 <NA> <NA> 4.463421603 6.563831079
## X1970 <NA> <NA> 2.575992127 7.048330837
## X1971 <NA> <NA> -1.195383302 3.172176141
## X1972 <NA> <NA> 3.117800364 12.50268334
## X1973 <NA> <NA> -0.476536268 -3.397305595
## X1974 <NA> <NA> 6.333590372 20.82566953
## X1975 <NA> 10.02956925 1.456470709 27.52274698
## X1976 <NA> 11.72818335 4.398536178 0.54404234
## X1977 <NA> 13.49537037 3.016973442 -3.564821564
## X1978 <NA> 13.37928235 4.405741389 9.371206914
## X1979 <NA> 11.63628084 2.368877795 9.978363426
## X1980 <NA> 11.09588545 -2.319394205 7.609546552
## X1981 <NA> 10.89098005 8.341974135 7.937356408
## X1982 <NA> 9.932877822 3.779374654 9.347409674
## X1983 <NA> 8.548577014 -2.977405857 12.2886911
## X1984 <NA> 9.865448055 9.681130016 6.377949973
## X1985 <NA> 14.08577598 6.144905237 11.42183276
## X1986 <NA> 11.62371689 4.565650546 14.39257008
## X1987 <NA> 12.09543718 1.695618266 12.69680187
## X1988 <NA> 11.35744935 7.696808711 11.8153102
## X1989 <NA> 10.29118731 4.329647933 11.25837291
## X1990 <NA> 6.991686006 4.635036347 10.71588515
## X1991 <NA> 8.559918741 6.368150405 12.5446382
## X1992 <NA> 10.9287009 4.106406605 18.48909464
## X1993 <NA> 12.24724218 3.849850027 10.77490927
## X1994 <NA> 9.959352041 8.216002705 4.81598619
## X1995 <NA> 15.65529768 3.468451889 6.300861554
## X1996 <NA> 14.38246926 5.328284176 7.82303556
## X1997 <NA> 13.9608503 5.048612536 7.279092987
## X1998 <NA> 13.77387027 3.016389481 4.107850671
## X1999 <NA> 13.61347928 4.412573275 8.887047432
## X2000 139.46298 15.17228476 6.199999985 4.472433715
## X2001 102.63701 11.66462728 4.799892146 11.01714829
## X2002 77.43354 9.489666248 0.120143179 3.934857896
## X2003 63.42802 8.561179812 3.945037761 3.070304967
## X2004 <NA> 11.74924279 4.682603249 4.166427154
## X2005 <NA> 11.55565976 3.479181044 6.119390412
## X2006 <NA> 8.98307832 3.364614787 7.360039272
## X2007 <NA> 9.817208499 3.411560275 7.603288946
## X2008 47.40814 9.831096072 6.104639147 5.61985452
## X2009 51.51713 9.433665671 4.533078721 15.90833021
## X2010 33.02038 11.45140099 4.816414651 15.14693244
## X2011 31.69426 7.125826025 3.421828238 26.39730667
## X2012 <NA> 9.120633745 4.670122149 7.741150029
## X2013 22.29423 8.178966875 3.525153174 7.082650999
## X2014 26.74935 9.364717232 6.011482841 8.035366199
## X2015 24.16269 7.625269885 3.976053274 4.409045432
## X2016 <NA> 3.642858923 0.433113718 7.150334788
## X2017 <NA> 12.98475515 8.977279354 8.261412551
## X2018 <NA> 14.79161211 7.622376108 4.355858465
## X2019 <NA> 15.30340729 6.657055428 4.691155935
## X2020 <NA> 5.719357472 -2.369620627 3.21740233
## X2021 <NA> 7.708062342 4.246940141 5.511971478
## SH.XPD.CHEX.GD.ZS SE.XPD.PRIM.PC.ZS NY.GDP.PETR.RT.ZS NY.GDP.MKTP.CD
## X1960 <NA> <NA> <NA> 508334414
## X1961 <NA> <NA> <NA> 531959561.6
## X1962 <NA> <NA> <NA> 574091101.2
## X1963 <NA> <NA> <NA> 496947904.4
## X1964 <NA> <NA> <NA> 496098775.3
## X1965 <NA> <NA> <NA> 735267082.3
## X1966 <NA> <NA> <NA> 906811943.8
## X1967 <NA> <NA> <NA> 841974025.5
## X1968 <NA> <NA> <NA> 772228643.4
## X1969 <NA> <NA> <NA> 788641965.4
## X1970 <NA> <NA> <NA> 865975308.6
## X1971 <NA> <NA> 0 882765471.6
## X1972 <NA> <NA> 0 1024098805
## X1973 <NA> <NA> 0 972101725
## X1974 <NA> <NA> 0 1217953547
## X1975 <NA> <NA> 0 1575789254
## X1976 <NA> <NA> 0 1452792989
## X1977 <NA> <NA> 0 1382400000
## X1978 <NA> <NA> 0 1604162497
## X1979 <NA> <NA> 0 1851250008
## X1980 <NA> <NA> 0 1945916583
## X1981 <NA> <NA> 0 2275583317
## X1982 <NA> <NA> 0 2395429852
## X1983 <NA> <NA> 0 2447174803
## X1984 <NA> <NA> 0 2581207388
## X1985 <NA> <NA> 0 2619913956
## X1986 <NA> <NA> 0 2850784523
## X1987 <NA> <NA> 0 2957255380
## X1988 <NA> <NA> 0 3487009748
## X1989 <NA> <NA> 0 3525228153
## X1990 <NA> <NA> 0 3627562403
## X1991 <NA> <NA> 0 3921476085
## X1992 <NA> <NA> 0 3401211581
## X1993 <NA> <NA> 0 3660041667
## X1994 <NA> <NA> 0 4066775510
## X1995 <NA> <NA> 0 4401104418
## X1996 <NA> <NA> 0 4521580381
## X1997 <NA> <NA> 0 4918691917
## X1998 <NA> <NA> 0 4856255044
## X1999 <NA> 8.98008 0 5033642384
## X2000 3.12598538 10.18187 0 5494252208
## X2001 3.80386233 13.56601 0 6007055042
## X2002 3.92991233 11.79508 0 6050875807
## X2003 3.84753466 11.06862 0 6330473097
## X2004 4.03734398 <NA> 0 7273938315
## X2005 3.94221067 <NA> 0 8130258041
## X2006 3.5361805 <NA> 0 9043715356
## X2007 3.66484332 <NA> 0 10325618017
## X2008 3.80911303 14.17214 0 12545438605
## X2009 3.89314747 16.37681 0 12854985464
## X2010 4.35166264 11.09709 0 16002656434
## X2011 4.44234991 11.42569 0 21573862467
## X2012 4.49078512 11.53445 0 21703106502
## X2013 4.63011789 11.22594 0 22162208956
## X2014 5.07548285 13.05722 0 22731602970
## X2015 5.46615076 12.35956 0 24360795411
## X2016 5.42379808 <NA> 0 24524098185
## X2017 4.72173262 <NA> 0 28971589213
## X2018 4.5284524 <NA> 0 33111525872
## X2019 4.44515085 <NA> 0 34186190996
## X2020 <NA> <NA> 0 33433670512
## X2021 <NA> <NA> <NA> 36288830373
## NE.DAB.TOTL.ZS SH.XPD.GHED.GD.ZS SE.XPD.TOTL.GD.ZS PA.NUS.PPPC.RF
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 104.4656328 <NA> <NA> <NA>
## X1976 103.4034713 <NA> <NA> <NA>
## X1977 102.5289346 <NA> <NA> <NA>
## X1978 104.9006688 <NA> <NA> <NA>
## X1979 104.1818595 <NA> <NA> <NA>
## X1980 107.1902705 <NA> <NA> <NA>
## X1981 106.716227 <NA> <NA> <NA>
## X1982 107.2156959 <NA> <NA> <NA>
## X1983 111.0841235 <NA> <NA> <NA>
## X1984 108.7966496 <NA> <NA> <NA>
## X1985 108.4703568 <NA> <NA> <NA>
## X1986 108.6404422 <NA> <NA> <NA>
## X1987 109.093339 <NA> <NA> <NA>
## X1988 110.9346995 <NA> <NA> <NA>
## X1989 111.2157188 <NA> <NA> <NA>
## X1990 111.1341359 <NA> <NA> 0.240461492
## X1991 111.6935526 <NA> <NA> 0.236387594
## X1992 109.7759609 <NA> <NA> 0.192550748
## X1993 110.323653 <NA> <NA> 0.194902573
## X1994 112.4441969 <NA> <NA> 0.19593583
## X1995 109.5442004 <NA> <NA> 0.200726551
## X1996 112.8226185 <NA> <NA> 0.192268671
## X1997 111.3798647 <NA> <NA> 0.195727703
## X1998 111.0654988 <NA> 2.892879963 0.185497054
## X1999 106.8700371 <NA> 2.89331007 0.181588186
## X2000 109.1425816 0.48485136 2.975150108 0.182498777
## X2001 110.6784189 0.58291328 3.708379984 0.173443968
## X2002 110.7565449 0.79097205 3.152839899 0.171821678
## X2003 112.8481991 0.65877509 3.11435008 0.169591614
## X2004 112.7819068 0.64549148 3.171940088 0.181283719
## X2005 114.8954983 0.7515617 3.364639997 0.189858914
## X2006 117.8688245 0.84521472 3.605360031 0.198200034
## X2007 118.8680423 0.67676955 3.517210007 0.213070182
## X2008 120.4845509 0.70963746 3.805170059 0.239390819
## X2009 122.2407114 0.79475653 4.663760185 0.233165742
## X2010 126.8198055 0.78889084 3.631720066 0.273632534
## X2011 120.6844804 0.79485244 3.842619896 0.34943018
## X2012 119.4820715 0.78674686 3.29008007 0.320964411
## X2013 121.4976421 0.75677407 3.018110037 0.304697013
## X2014 121.621371 0.87364477 3.47213006 0.286651647
## X2015 123.6521649 0.90927666 3.25902009 0.300962369
## X2016 124.5981403 1.00771809 3.903209925 0.30087671
## X2017 124.3402989 1.06542468 4.76722002 0.294080108
## X2018 124.7561882 1.0672121 4.43445015 0.305011772
## X2019 126.0753336 1.10280871 4.239999771 0.290067383
## X2020 124.720924 <NA> 4.389999866 0.287107335
## X2021 128.0741502 <NA> <NA> 0.287004178
## NY.GDP.MKTP.PP.KD NY.GDP.DEFL.ZS.AD NE.GDI.TOTL.ZS GC.TAX.TOTL.GD.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> 6.444127212 <NA>
## X1966 <NA> <NA> 4.834273995 <NA>
## X1967 <NA> <NA> 4.988308574 <NA>
## X1968 <NA> <NA> 5.687996496 <NA>
## X1969 <NA> <NA> 4.846587412 <NA>
## X1970 <NA> <NA> 5.964872263 <NA>
## X1971 <NA> <NA> 7.75341205 <NA>
## X1972 <NA> <NA> 7.329539692 <NA>
## X1973 <NA> <NA> 9.178452837 <NA>
## X1974 <NA> <NA> 8.760150248 <NA>
## X1975 <NA> <NA> 14.49520203 <NA>
## X1976 <NA> <NA> 15.13165468 <NA>
## X1977 <NA> <NA> 16.02430498 <NA>
## X1978 <NA> <NA> 18.27995111 <NA>
## X1979 <NA> <NA> 15.81814037 <NA>
## X1980 <NA> <NA> 18.28615598 <NA>
## X1981 <NA> <NA> 17.60720707 <NA>
## X1982 <NA> <NA> 17.14857376 <NA>
## X1983 <NA> <NA> 19.63270053 <NA>
## X1984 <NA> <NA> 18.66209766 <NA>
## X1985 <NA> <NA> 22.55613274 <NA>
## X1986 <NA> <NA> 20.26415907 <NA>
## X1987 <NA> <NA> 21.18877615 <NA>
## X1988 <NA> <NA> 22.29214886 <NA>
## X1989 <NA> <NA> 21.50690609 <NA>
## X1990 30495897615 17.59519716 18.12582192 6.996692968
## X1991 32437922242 19.80245098 20.2534713 6.620301936
## X1992 33769955223 23.46374489 20.70466177 6.483344072
## X1993 35070047854 25.99194211 22.57089514 6.654637356
## X1994 37951403934 27.24371045 22.40354892 7.729134048
## X1995 39267730121 28.96029893 25.19949812 8.985513859
## X1996 41360026371 31.22587341 27.20508772 8.719914187
## X1997 43448133848 33.49883377 25.34071505 8.723659866
## X1998 44758698786 34.87491584 24.83936911 8.639332547
## X1999 46733709167 37.97426616 20.48351636 8.422505233
## X2000 49631199129 39.67264004 24.31486635 8.735981111
## X2001 52013443158 41.02646356 22.34304622 8.802574747
## X2002 52075933762 42.6407966 20.24621117 8.560583141
## X2003 54130349013 43.9499991 21.40937893 8.651811853
## X2004 56665058494 45.78114379 24.53114957 8.9749585
## X2005 58636538468 48.58267072 26.4511581 9.179453421
## X2006 60609432112 52.15837436 26.85190281 8.77975841
## X2007 62677159421 56.12412627 28.68525075 9.772473404
## X2008 66503373831 59.27822052 30.315647 10.44008641
## X2009 69518024119 68.70839558 31.67437709 11.84403686
## X2010 72866300418 79.11560985 38.27120645 13.39611544
## X2011 75359660061 100 27.81030642 11.62467555
## X2012 78879048237 107.74115 28.60270524 12.04080455
## X2013 81659655509 115.3720797 29.67660902 13.29788586
## X2014 86568611688 124.6426488 30.98608823 13.99491049
## X2015 90010625807 130.1381998 31.27743482 14.68630457
## X2016 90400474175 139.4435167 28.2409992 16.14374976
## X2017 98515977279 150.9635209 37.32505401 17.99936212
## X2018 106000000000 157.5392782 39.54780033 19.08282606
## X2019 113000000000 164.9296914 41.37874091 19.80906024
## X2020 110000000000 170.2361432 30.44028151 15.77364973
## X2021 115000000000 179.6195108 35.7822125 <NA>
## FS.AST.DOMS.GD.ZS FM.AST.PRVT.GD.ZS EN.ATM.CO2E.KD.GD NY.GDP.PCAP.PP.CD
## X1960 <NA> 1.045701034 <NA> <NA>
## X1961 <NA> 1.226252189 <NA> <NA>
## X1962 <NA> 1.252857767 <NA> <NA>
## X1963 <NA> 1.234835355 <NA> <NA>
## X1964 <NA> 1.499104091 <NA> <NA>
## X1965 <NA> 1.893966474 <NA> <NA>
## X1966 <NA> 1.788970856 <NA> <NA>
## X1967 <NA> 1.920498801 <NA> <NA>
## X1968 <NA> 2.215251576 <NA> <NA>
## X1969 <NA> 2.414527269 <NA> <NA>
## X1970 <NA> 2.869525547 <NA> <NA>
## X1971 <NA> 3.839785015 <NA> <NA>
## X1972 <NA> 3.515285813 <NA> <NA>
## X1973 <NA> 4.790851448 <NA> <NA>
## X1974 <NA> 4.886008935 <NA> <NA>
## X1975 <NA> 4.412527963 <NA> <NA>
## X1976 <NA> 3.625962997 <NA> <NA>
## X1977 <NA> 4.788194444 <NA> <NA>
## X1978 <NA> 5.703932467 <NA> <NA>
## X1979 <NA> 6.419986467 <NA> <NA>
## X1980 <NA> 8.573937244 <NA> <NA>
## X1981 <NA> 9.190317568 <NA> <NA>
## X1982 <NA> 8.631728634 <NA> <NA>
## X1983 <NA> 8.095971564 <NA> <NA>
## X1984 <NA> 8.485910323 <NA> <NA>
## X1985 <NA> 9.852316146 <NA> <NA>
## X1986 <NA> 10.58161654 <NA> <NA>
## X1987 <NA> 10.45158462 <NA> <NA>
## X1988 <NA> 11.78620654 <NA> <NA>
## X1989 <NA> 13.04865071 <NA> <NA>
## X1990 <NA> 12.8086563 0.113638794 856.6407557
## X1991 <NA> 13.35385013 0.134112471 917.7343875
## X1992 <NA> 13.4183155 0.134281075 951.0797168
## X1993 <NA> 14.57309798 0.148225505 983.8845862
## X1994 <NA> 18.55012245 0.169029142 1058.983355
## X1995 <NA> 22.83143607 0.177445991 1090.941625
## X1996 <NA> 23.19776388 0.174709069 1142.868284
## X1997 <NA> 23.88507426 0.185828864 1194.5345
## X1998 <NA> 28.66308232 0.191095613 1218.88372
## X1999 <NA> 28.87594825 0.246129986 1265.78446
## X2000 <NA> 30.67062082 0.239189047 1349.962286
## X2001 <NA> 29.41591045 0.245954094 1422.508725
## X2002 <NA> 22.86890082 0.197518292 1424.272228
## X2003 <NA> 26.14257403 0.205686742 1488.295004
## X2004 <NA> 27.09733041 0.18282314 1578.507295
## X2005 <NA> 28.72615081 0.200568415 1663.370047
## X2006 <NA> 33.15138628 0.159368051 1750.480683
## X2007 <NA> 37.28150565 0.158227934 1836.859826
## X2008 <NA> 51.65264553 0.165755403 1965.219302
## X2009 <NA> 59.17845463 0.205766415 2050.786913
## X2010 <NA> 54.58998779 0.23476397 2164.951653
## X2011 <NA> 46.42464435 0.254392672 2283.18558
## X2012 <NA> 48.75434965 0.281055382 2505.39181
## X2013 <NA> 50.46227084 0.275557392 2702.224963
## X2014 <NA> 54.4670476 0.30432063 2947.316487
## X2015 <NA> 56.90827406 0.265180175 2996.220462
## X2016 <NA> 69.84080011 0.381749507 2989.675006
## X2017 <NA> 68.55708521 0.41368632 3565.197807
## X2018 <NA> 76.32460801 0.419236125 3863.870402
## X2019 <NA> 78.9459109 <NA> 4119.584979
## X2020 <NA> 88.44003947 <NA> 3996.66547
## X2021 <NA> <NA> <NA> 4260.839694
## NY.GDP.FRST.RT.ZS NE.GDI.FTOT.ZS SE.XPD.SECO.PC.ZS NY.GDP.MKTP.CN.AD
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 1.547335521 <NA> <NA> <NA>
## X1971 1.402280908 <NA> <NA> <NA>
## X1972 1.17495854 <NA> <NA> <NA>
## X1973 2.113309698 <NA> <NA> <NA>
## X1974 1.94522473 <NA> <NA> <NA>
## X1975 3.43610027 13.41500288 <NA> <NA>
## X1976 2.285661967 14.04507367 <NA> <NA>
## X1977 8.137812406 14.93634201 <NA> <NA>
## X1978 6.973654045 16.69369535 <NA> <NA>
## X1979 2.571233029 14.68827407 <NA> <NA>
## X1980 2.997478812 15.7637791 <NA> <NA>
## X1981 2.242164706 15.74321541 <NA> <NA>
## X1982 3.151933341 17.63585917 <NA> <NA>
## X1983 2.087802599 19.47867299 <NA> <NA>
## X1984 1.672256707 17.53490723 <NA> <NA>
## X1985 1.152462424 20.84317177 <NA> <NA>
## X1986 1.846370848 18.16811428 <NA> <NA>
## X1987 1.680118445 19.50864337 <NA> <NA>
## X1988 1.521723512 19.92172262 <NA> <NA>
## X1989 1.488703917 18.12051216 <NA> <NA>
## X1990 1.746703903 16.12032954 <NA> 111000000000
## X1991 1.596161254 18.40049757 <NA> 133000000000
## X1992 1.887355667 19.17108013 <NA> 164000000000
## X1993 1.523479997 21.21902073 <NA> 189000000000
## X1994 1.200027148 21.09277771 <NA> 214000000000
## X1995 1.388811488 22.06912285 <NA> 235000000000
## X1996 1.326249219 22.53036201 <NA> 267000000000
## X1997 1.090667424 21.67243586 <NA> 301000000000
## X1998 1.271680096 21.73045921 <NA> 323000000000
## X1999 1.394818469 19.08249424 12.99079 367000000000
## X2000 1.16343889 19.32182309 11.39166 407000000000
## X2001 1.057559999 19.19511668 13.49722 442000000000
## X2002 1.139219606 19.56477735 10.48057 459000000000
## X2003 1.207725045 19.92418194 9.32593 492000000000
## X2004 0.896832452 20.34116505 <NA> 537000000000
## X2005 0.78790577 19.94173855 <NA> 589000000000
## X2006 1.074015242 20.720886 <NA> 654000000000
## X2007 1.350313271 21.06778122 <NA> 728000000000
## X2008 1.062004323 21.87755162 10.52313 816000000000
## X2009 0.998674343 21.35434374 12.27842 988000000000
## X2010 1.464463107 22.20772753 11.05385 1190000000000
## X2011 1.106345791 23.98238273 11.58327 1560000000000
## X2012 0.955331469 23.9904074 10.77751 1760000000000
## X2013 0.828729868 24.73023144 9.68304 1950000000000
## X2014 0.856372465 25.25208469 11.22859 2230000000000
## X2015 0.931579562 27.55380746 10.45324 2420000000000
## X2016 1.027379417 28.70522169 <NA> 2610000000000
## X2017 0.698704855 30.5754364 <NA> 3080000000000
## X2018 0.419137823 32.43288003 <NA> 3460000000000
## X2019 0.440770893 33.81512568 <NA> 3860000000000
## X2020 0.51215662 30.46922052 <NA> 3890000000000
## X2021 <NA> 29.85192976 <NA> 4280000000000
## NV.IND.MANF.ZS NE.TRD.GNFS.ZS GC.REV.XGRT.GD.ZS GB.XPD.RSDV.GD.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 3.284541294 21.688683 <NA> <NA>
## X1966 3.430308194 14.40150487 <NA> <NA>
## X1967 3.41387368 13.82696783 <NA> <NA>
## X1968 3.568938978 14.34546175 <NA> <NA>
## X1969 3.844708877 17.2323108 <NA> <NA>
## X1970 3.683850365 13.20711679 <NA> <NA>
## X1971 3.759230085 14.53345202 <NA> <NA>
## X1972 3.94444965 13.57893669 <NA> <NA>
## X1973 4.002407303 16.98264552 <NA> <NA>
## X1974 4.106808405 15.99781527 <NA> <NA>
## X1975 4.007000229 22.26781875 <NA> <NA>
## X1976 3.966885156 24.95113214 <NA> <NA>
## X1977 4.259259259 26.10532292 <NA> <NA>
## X1978 4.023920372 26.0439879 <NA> <NA>
## X1979 3.817240586 27.75151912 <NA> <NA>
## X1980 4.008393816 30.27279561 <NA> <NA>
## X1981 3.841505869 32.51913562 <NA> <NA>
## X1982 4.01123058 30.39886389 <NA> <NA>
## X1983 4.32464455 31.54620972 <NA> <NA>
## X1984 4.61030729 30.10154981 <NA> <NA>
## X1985 5.39003134 31.52878547 <NA> <NA>
## X1986 5.837700093 31.96504199 <NA> <NA>
## X1987 5.856194413 32.71988914 <NA> <NA>
## X1988 6.000832185 33.82903805 <NA> <NA>
## X1989 5.440858529 33.35092809 <NA> <NA>
## X1990 5.759263557 32.18875416 8.44530827 <NA>
## X1991 6.376362065 34.67505513 8.408655827 <NA>
## X1992 8.396064811 41.69541314 8.510657803 <NA>
## X1993 8.320715839 47.18958118 8.141414601 <NA>
## X1994 8.963125778 50.43207274 9.448893974 <NA>
## X1995 8.922094217 59.4905184 10.54226075 <NA>
## X1996 9.025643498 58.4577687 10.6868665 <NA>
## X1997 8.846648818 64.03553489 10.44265328 <NA>
## X1998 8.97040004 56.70960129 10.42762885 <NA>
## X1999 8.869534201 52.56698125 10.14893169 <NA>
## X2000 8.840859263 55.710589 10.62036217 <NA>
## X2001 8.699294828 55.79992108 10.4516561 <NA>
## X2002 8.213423646 46.2307185 10.50293508 <NA>
## X2003 7.887760015 44.24788362 10.90520508 <NA>
## X2004 7.763964162 46.14728672 11.13753356 <NA>
## X2005 7.615216521 44.06294748 11.54794948 <NA>
## X2006 7.314045291 44.76198776 10.7436739 <NA>
## X2007 7.168186946 44.57927502 11.86918045 <NA>
## X2008 7.01090408 46.03620635 12.30038815 0.054389998
## X2009 6.622367122 47.07944776 14.12985494 0.259240001
## X2010 5.946139 45.98490577 14.89835577 0.30219999
## X2011 5.396901505 36.29675203 13.05668861 <NA>
## X2012 5.785222834 37.92190606 13.89090147 <NA>
## X2013 5.750414306 41.86537574 15.16888016 <NA>
## X2014 5.61219116 45.98264161 16.23388567 <NA>
## X2015 5.356055555 46.66573039 16.99260634 <NA>
## X2016 4.888189626 42.11548612 18.57593366 <NA>
## X2017 4.855673994 44.64241062 19.93732837 <NA>
## X2018 4.906474539 48.44738695 22.0168966 <NA>
## X2019 4.981441388 49.24952659 22.40134791 <NA>
## X2020 4.474854392 40.91886559 19.36542667 <NA>
## X2021 4.66559835 43.81122818 <NA> <NA>
## EG.USE.COMM.GD.PP.KD GC.NLD.TOTL.GD.ZS BN.CAB.XOKA.GD.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> 1.275887214
## X1977 <NA> <NA> -0.11400463
## X1978 <NA> <NA> -1.604629643
## X1979 <NA> <NA> -0.614449693
## X1980 <NA> <NA> -1.996488459
## X1981 <NA> <NA> -0.839598813
## X1982 <NA> <NA> -3.565735498
## X1983 <NA> <NA> -5.948536687
## X1984 <NA> <NA> -3.687012193
## X1985 <NA> <NA> -4.641834691
## X1986 <NA> <NA> -4.181623378
## X1987 <NA> <NA> -4.170531195
## X1988 <NA> <NA> -7.784623235
## X1989 <NA> <NA> -6.901330037
## X1990 189.8343204 <NA> -7.972197628
## X1991 184.2496247 <NA> -7.762580647
## X1992 181.293933 <NA> -5.330988052
## X1993 179.1825328 <NA> -6.079190386
## X1994 171.452208 <NA> -8.652643525
## X1995 170.9215679 <NA> -8.097740688
## X1996 166.1770701 <NA> -7.223149767
## X1997 163.3053568 <NA> -7.890015129
## X1998 162.6418372 <NA> -1.383662254
## X1999 164.3393631 <NA> -1.563038657
## X2000 163.3592406 <NA> -2.377936958
## X2001 161.0080105 <NA> -2.741571051
## X2002 162.5980446 <NA> 3.556296775
## X2003 160.8520388 <NA> 2.847594088
## X2004 155.8713118 <NA> 1.374222036
## X2005 155.7325899 <NA> 1.883023964
## X2006 150.6528387 <NA> 1.659501804
## X2007 148.5078629 <NA> 0.054810111
## X2008 144.859989 <NA> 5.845485641
## X2009 142.6778325 <NA> 0.166582496
## X2010 140.1279321 -1.373379618 -0.797465993
## X2011 140.2401761 -0.877136702 1.337751414
## X2012 128.0725392 -0.543385074 2.660706191
## X2013 137.5526621 1.502004198 5.231372775
## X2014 135.033874 1.563383459 2.182983373
## X2015 <NA> 0.92949613 10.04331081
## X2016 <NA> 1.176663768 -0.684346954
## X2017 <NA> -2.385815315 -3.564329207
## X2018 <NA> -4.754252712 -8.300804944
## X2019 <NA> -4.793705761 -5.129629145
## X2020 <NA> -4.896852861 -0.251653458
## X2021 <NA> <NA> -14.8229695
## BG.GSR.NFSV.GD.ZS NE.CON.PRVT.ZS GC.LBL.TOTL.GD.ZS FS.AST.PRVT.GD.ZS
## X1960 <NA> <NA> <NA> 1.045701034
## X1961 <NA> <NA> <NA> 1.226252189
## X1962 <NA> <NA> <NA> 1.252857767
## X1963 <NA> <NA> <NA> 1.234835355
## X1964 <NA> <NA> <NA> 1.499104091
## X1965 <NA> <NA> <NA> 1.893966474
## X1966 <NA> <NA> <NA> 1.788970856
## X1967 <NA> <NA> <NA> 1.920498801
## X1968 <NA> <NA> <NA> 2.215251576
## X1969 <NA> <NA> <NA> 2.414527269
## X1970 <NA> <NA> <NA> 2.869525547
## X1971 <NA> <NA> <NA> 3.839785015
## X1972 <NA> <NA> <NA> 3.515285813
## X1973 <NA> <NA> <NA> 4.790851448
## X1974 <NA> <NA> <NA> 4.886008935
## X1975 <NA> 82.38489026 <NA> 4.412527963
## X1976 7.168953968 80.83246971 <NA> 3.625962997
## X1977 8.554516654 79.21296296 <NA> 4.788194444
## X1978 9.741827845 79.16582185 <NA> 5.703932467
## X1979 10.03404667 79.86045609 <NA> 6.419986467
## X1980 12.47307644 82.20204626 <NA> 8.573937244
## X1981 10.96158278 82.0705316 <NA> 9.190317568
## X1982 10.24144656 81.55414887 <NA> 8.631728634
## X1983 10.58418544 81.33293957 <NA> 8.095971564
## X1984 10.02260985 80.88347278 <NA> 8.485910323
## X1985 10.42389316 76.5315773 <NA> 9.852316146
## X1986 10.18303569 79.28684229 <NA> 10.58161654
## X1987 11.79922946 78.82746148 <NA> 10.45158462
## X1988 10.74343964 79.67706031 <NA> 11.78620654
## X1989 9.951683405 79.68629647 <NA> 13.04865071
## X1990 10.2466616 84.34524445 6.781542508 12.8086563
## X1991 10.80699873 82.48619559 <NA> 13.35385013
## X1992 14.66563099 81.27373712 <NA> 13.4183155
## X1993 15.98444643 79.27152469 <NA> 14.57309798
## X1994 21.53678301 82.01794532 <NA> 18.55012245
## X1995 22.54707354 75.09775353 <NA> 22.83143607
## X1996 22.12225159 76.37012301 <NA> 23.19776388
## X1997 22.16537207 77.13154114 3.062603159 23.88507426
## X1998 15.67691779 76.91402549 3.497814489 28.66308232
## X1999 17.23485544 77.46085207 3.484720907 28.87594825
## X2000 12.84759849 75.87776162 3.188506619 30.67062082
## X2001 10.45461702 80.23060493 3.024561512 29.41591045
## X2002 8.957206225 82.11190348 2.016354586 22.86890082
## X2003 10.08272647 82.77378284 0.785586442 26.14257403
## X2004 11.62882567 79.60667962 0.454961257 27.09733041
## X2005 10.02524244 79.54513222 0.792467748 28.72615081
## X2006 9.71435029 82.33393907 0.884244226 33.15138628
## X2007 11.95010456 80.98431439 1.537947891 37.28150565
## X2008 12.55762563 80.27958757 1.604765723 51.65264553
## X2009 12.03019197 79.78721684 3.133793126 59.17845463
## X2010 9.627177654 78.55601031 1.903550966 54.58998779
## X2011 7.627863336 84.67689704 1.517172468 46.42464435
## X2012 8.387897332 82.98298 -0.516168021 48.75434965
## X2013 9.800841032 84.28669551 -1.802198963 50.46227084
## X2014 11.37464152 82.63414132 -0.174482593 54.4670476
## X2015 10.80139608 83.56273312 0.144269512 56.90827406
## X2016 10.62254497 88.43112259 2.179567295 69.84080011
## X2017 11.10788401 78.49670653 2.281116159 68.55708521
## X2018 10.63264386 77.14685161 5.633109835 76.32460801
## X2019 9.75019134 76.5794975 4.002321623 78.9459109
## X2020 5.918168268 85.21291046 8.045683808 88.44003947
## X2021 6.369454769 83.89271823 <NA> <NA>
## BM.KLT.DINV.WD.GD.ZS NY.GDP.PCAP.KD NY.GDP.FCST.CN FS.AST.CGOV.GD.ZS
## X1960 <NA> 327.7572783 3818999800 0.002581978
## X1961 <NA> 328.7351119 3996999900 -0.157907727
## X1962 <NA> 329.6882672 4312999900 -0.038866026
## X1963 <NA> 330.5042565 4552000000 -0.353119584
## X1964 <NA> 349.4890032 4952999900 -0.806291045
## X1965 <NA> 339.3381853 5523999900 -0.403427355
## X1966 <NA> 356.7400014 6731000200 0.406715866
## X1967 <NA> 344.6424877 6324000100 0.5674201
## X1968 <NA> 340.3636539 7065000200 -2.371392657
## X1969 <NA> 348.6233822 7823999900 -2.623669413
## X1970 <NA> 350.496878 8713000000 -2.281021898
## X1971 <NA> 339.3001296 8775000400 -0.735484382
## X1972 <NA> 342.672848 10130000400 0.012482486
## X1973 <NA> 333.9001621 9765000400 0.216202118
## X1974 <NA> 347.5028348 12424999500 0.711847237
## X1975 <NA> 344.9690325 15935999800 1.34958352
## X1976 0 352.2911267 16588999900 3.014832718
## X1977 0 354.9240093 16255000000 4.484375
## X1978 0 362.3190891 18426000800 4.330022123
## X1979 0 362.5807482 20779000100 4.76209766
## X1980 0 346.1643244 21885999100 5.426407527
## X1981 0 366.4793841 25465999900 4.934714158
## X1982 0 371.5721443 29036999200 7.93533001
## X1983 0 352.1975762 31643000100 12.4721564
## X1984 0 377.4591486 37003999200 13.40213283
## X1985 0 391.6029451 44015000000 14.44167776
## X1986 0 400.4239383 52717000000 13.689972
## X1987 0 398.3404237 60372000000 13.13024552
## X1988 0 419.5476091 72214000000 12.63659532
## X1989 0 427.6444308 84511000000 13.37485577
## X1990 0 436.567494 97748000000 13.20656378
## X1991 0 452.403275 117000000000 13.21402897
## X1992 0 458.3946735 145000000000 12.80907367
## X1993 0 463.22571 166000000000 12.41498845
## X1994 0 488.1589295 187000000000 10.17418403
## X1995 0 492.5621745 205000000000 10.34269419
## X1996 0 506.7291102 233000000000 9.801135336
## X1997 0 520.6586649 263000000000 9.753740877
## X1998 0 525.3586111 282000000000 9.325067726
## X1999 0 537.9920293 321000000000 9.382202794
## X2000 0 561.0587877 356000000000 9.594466508
## X2001 0 578.1836624 413000000000 10.88810436
## X2002 <NA> 570.0165574 430000000000 9.995384193
## X2003 <NA> 584.1114778 460000000000 10.58167243
## X2004 <NA> 603.3215051 501000000000 11.0317345
## X2005 <NA> 616.4268484 548000000000 10.65244413
## X2006 <NA> 629.2917831 611000000000 9.976367737
## X2007 <NA> 642.968396 676000000000 11.36417108
## X2008 <NA> 674.9537655 755000000000 11.50913315
## X2009 <NA> 699.8561654 910000000000 8.474245342
## X2010 0 730.04269 1080000000000 11.18802488
## X2011 0 754.2413402 1440000000000 10.62738854
## X2012 0 790.9881496 1620000000000 8.791581518
## X2013 0 821.0732055 1780000000000 8.04920887
## X2014 0 870.7816903 2020000000000 5.761101762
## X2015 0 901.7496077 2190000000000 6.65579499
## X2016 0 897.4037881 2340000000000 1.482233943
## X2017 0 964.8977952 2720000000000 2.566531806
## X2018 0 1021.331877 3010000000000 9.613530164
## X2019 0 1069.789098 3340000000000 9.632236558
## X2020 0 1025.509112 3430000000000 13.67885106
## X2021 <NA> 1049.675971 3660000000000 <NA>
## EN.ATM.CO2E.PP.GD EG.GDP.PUSE.KO.PP.KD EG.EGY.PRIM.PP.KD
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 0.058041872 5.267751362 <NA>
## X1991 0.066258261 5.427419467 <NA>
## X1992 0.064863382 5.515904385 <NA>
## X1993 0.069941279 5.580901131 <NA>
## X1994 0.078090072 5.832529145 <NA>
## X1995 0.080719723 5.850636712 <NA>
## X1996 0.077634946 6.017677407 <NA>
## X1997 0.081176385 6.123497843 <NA>
## X1998 0.082547976 6.14847949 <NA>
## X1999 0.104843797 6.084969426 <NA>
## X2000 0.099630005 6.121478016 6.83
## X2001 0.099901886 6.210871106 6.73
## X2002 0.079225304 6.150135461 6.79
## X2003 0.08090496 6.216893534 6.72
## X2004 0.070031834 6.415548753 6.51
## X2005 0.074493324 6.421263529 6.51
## X2006 0.057419329 6.637777347 6.29
## X2007 0.055508426 6.733650194 6.21
## X2008 0.057054885 6.903217424 6.05
## X2009 0.070376051 7.00879725 5.96
## X2010 0.07934026 7.136335952 5.85
## X2011 0.084223994 7.130624245 5.86
## X2012 0.088733217 7.808075064 5.39
## X2013 0.083728335 7.269942907 5.86
## X2014 0.089911225 7.40554922 5.72
## X2015 0.088827947 <NA> 5.47
## X2016 0.127716277 <NA> 5.93
## X2017 0.126679955 <NA> 5.76
## X2018 0.139924952 <NA> 5.68
## X2019 0.114122286 <NA> 5.23
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## GC.NFN.TOTL.GD.ZS FM.LBL.BMNY.GD.ZS NY.GDP.PCAP.KD.ZG NY.GDP.FCST.KD
## X1960 <NA> 5.411825598 <NA> <NA>
## X1961 <NA> 6.323710988 0.298340759 <NA>
## X1962 <NA> 6.097393551 0.289946307 <NA>
## X1963 <NA> 7.259532062 0.247503293 <NA>
## X1964 <NA> 8.333664974 5.744176171 <NA>
## X1965 <NA> 9.378793456 -2.904474203 3686900953
## X1966 <NA> 8.046026688 5.128163241 3942894641
## X1967 <NA> 9.378020119 -3.391129021 3883721670
## X1968 <NA> 10.00975854 -1.24152822 3906404576
## X1969 <NA> 11.55165951 2.426736294 4059550032
## X1970 <NA> 10.50752737 0.537398192 4223262069
## X1971 <NA> 12.28127043 -3.194535849 4122527100
## X1972 <NA> 12.37245588 0.994022145 4230165653
## X1973 <NA> 16.4891156 -2.560076152 4221289620
## X1974 <NA> 15.02888878 4.07387424 4445442468
## X1975 <NA> 13.0336131 -0.729145815 4470943244
## X1976 <NA> 15.95032779 2.122536677 4629019828
## X1977 <NA> 19.4369213 0.747359903 4703408606
## X1978 <NA> 20.3588072 2.083567067 4874587454
## X1979 <NA> 20.98672059 0.072217859 4998287522
## X1980 <NA> 23.46409248 -4.527660079 4892480325
## X1981 <NA> 23.87812666 5.868617377 5274146242
## X1982 <NA> 25.45178845 1.389644405 5499708027
## X1983 <NA> 28.06635071 -5.214214381 5337264118
## X1984 <NA> 27.23026211 7.172557164 5867425978
## X1985 <NA> 27.71991585 3.747106535 6201331212
## X1986 <NA> 27.6570239 2.252534956 6492969548
## X1987 <NA> 29.54262182 -0.520327193 6597931325
## X1988 <NA> 29.9747744 5.323884853 7058221481
## X1989 <NA> 31.23379897 1.929893419 7424281841
## X1990 <NA> 32.01448519 2.086561291 7756008525
## X1991 <NA> 32.82000953 3.627338556 8254660930
## X1992 <NA> 32.0610892 1.32434906 8631620681
## X1993 <NA> 34.84227183 1.053903267 8902297081
## X1994 <NA> 36.24207114 5.382520661 9589126121
## X1995 <NA> 38.03490362 0.902010528 9843288724
## X1996 <NA> 37.5773463 2.876172081 10391061698
## X1997 <NA> 43.19522673 2.748915421 10896004686
## X1998 <NA> 44.77937144 0.902692407 11256114694
## X1999 <NA> 47.92581083 2.404722787 11751899955
## X2000 <NA> 51.33647424 4.287565072 12467303013
## X2001 <NA> 51.52594886 3.0522425 13065701954
## X2002 <NA> 50.83245038 -1.4125451 13086686566
## X2003 <NA> 52.29433504 2.472721223 13579919754
## X2004 <NA> 54.23225475 3.288760449 14178960894
## X2005 <NA> 54.19872632 2.172198934 14637556830
## X2006 <NA> 57.13533566 2.087017249 15183346358
## X2007 <NA> 60.86018588 2.173334102 15601015982
## X2008 <NA> 75.40009579 4.974641005 16505155680
## X2009 <NA> 80.66311212 3.689497146 17149610807
## X2010 3.868158511 73.24216062 4.313246946 17879868977
## X2011 3.15951075 66.48945133 3.31468974 18561742448
## X2012 2.915854023 67.71797811 4.87202271 19480713938
## X2013 2.783750795 74.31554963 3.803477458 20079553984
## X2014 2.978005109 75.36051884 6.05408683 21232603795
## X2015 3.648394395 86.38039633 3.556335386 21978324247
## X2016 4.688307873 94.20586025 -0.481931973 21978879123
## X2017 6.754081565 89.40497103 7.52102989 23866727131
## X2018 <NA> 95.33178294 5.848710831 25626474621
## X2019 <NA> 97.16987778 4.744512715 27262952301
## X2020 <NA> 117.7494555 -4.139132233 26602290156
## X2021 <NA> <NA> 2.356571795 27621363368
## NY.GDP.TOTL.RT.ZS NY.GDP.MKTP.CN NE.RSB.GNFS.ZS MS.MIL.XPND.GD.ZS
## X1960 <NA> 3872999900 <NA> <NA>
## X1961 <NA> 4052999900 <NA> <NA>
## X1962 <NA> 4374000100 <NA> <NA>
## X1963 <NA> 4616000000 <NA> <NA>
## X1964 <NA> 5023000100 <NA> <NA>
## X1965 <NA> 5601999900 -6.158514926 <NA>
## X1966 <NA> 6909000200 -3.111882961 <NA>
## X1967 <NA> 6415000100 -0.077942321 <NA>
## X1968 <NA> 7173000200 -0.65523489 <NA>
## X1969 <NA> 7984999900 -3.206011311 <NA>
## X1970 1.547335521 8768000000 -3.398722628 0.593019315
## X1971 1.402280908 8938000400 -3.72566553 0.617910602
## X1972 1.17495854 10369000400 -2.256726695 0.647556299
## X1973 2.113309698 9969000400 -3.761660999 0.657680994
## X1974 2.039763676 12807999500 -5.098376995 0.607236461
## X1975 3.43610027 16570999800 -4.465632786 0.682172825
## X1976 2.285661967 17393999900 -3.403471906 0.856261176
## X1977 9.172688007 17280000000 -2.528935185 0.892143089
## X1978 8.055118416 19732000800 -4.900668259 0.858464253
## X1979 4.151573113 22215000100 -4.181859986 0.911205724
## X1980 4.442852297 23350999000 -7.190270532 1.032075714
## X1981 2.608043944 27306999800 -6.716227024 0.99205332
## X1982 3.331593538 30987999200 -7.215695617 1.089453982
## X1983 2.715583077 33760000000 -11.08412382 1.252924973
## X1984 1.86502117 39389999100 -8.796649604 1.220614369
## X1985 1.152462424 46586000000 -8.47035676 1.195827162
## X1986 1.846370848 55724000000 -8.640442179 1.182850684
## X1987 1.680118445 63864000000 -9.09333897 1.159182012
## X1988 1.521723512 76906000000 -10.9346995 1.083790602
## X1989 1.488703917 89269000000 -11.21571878 1.106543145
## X1990 1.746703903 103000000000 -11.13413592 1.077154406
## X1991 1.596161254 124000000000 -11.69355256 1.096609649
## X1992 1.887355667 153000000000 -9.775960879 1.074689768
## X1993 1.523479997 176000000000 -10.32365296 1.050552554
## X1994 1.200027148 199000000000 -12.44419688 0.973315396
## X1995 1.388811488 219000000000 -9.544200433 0.941485115
## X1996 1.326249219 249000000000 -12.82261842 0.900716315
## X1997 1.090667424 281000000000 -11.37986475 0.880707846
## X1998 1.271680096 301000000000 -11.06549884 0.92705546
## X1999 1.394818469 342000000000 -6.870037072 0.947369575
## X2000 1.167019792 379000000000 -9.142581584 0.962150318
## X2001 1.06061514 442000000000 -10.67837364 1.098334384
## X2002 1.141777044 459000000000 -10.75645945 1.44764998
## X2003 1.210053519 492000000000 -12.84815463 1.592251101
## X2004 0.901697274 537000000000 -12.78189619 1.793292398
## X2005 0.792667946 589000000000 -14.89557389 1.929161376
## X2006 1.081820981 654000000000 -17.86880584 1.749109863
## X2007 1.356930627 728000000000 -18.86794527 1.547393889
## X2008 1.074373869 816000000000 -20.48456584 1.599971653
## X2009 1.00485104 988000000000 -22.24073939 1.6454486
## X2010 1.472314254 1190000000000 -26.81983343 1.563666433
## X2011 1.113986794 1560000000000 -20.68448362 1.540651621
## X2012 0.961086179 1760000000000 -20.42132348 1.431832398
## X2013 0.833688505 1950000000000 -23.27605838 1.541860106
## X2014 0.860694134 2230000000000 -25.73455737 1.629341062
## X2015 0.934852579 2420000000000 -26.2365532 1.556630126
## X2016 1.031178468 2610000000000 -25.75633004 1.700897728
## X2017 0.703177494 3080000000000 -29.01803331 1.708544543
## X2018 0.424053405 3460000000000 -32.8161049 1.539234028
## X2019 0.442967352 3860000000000 -33.68965364 1.376595177
## X2020 0.514043068 3890000000000 -27.30828594 1.363585634
## X2021 <NA> 4280000000000 -33.39276732 <NA>
## NY.GDP.NGAS.RT.ZS NY.GDP.DISC.CN NV.IND.TOTL.ZS NE.GDI.FPRV.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> 10.85326688 <NA>
## X1966 <NA> <NA> 9.031697524 <NA>
## X1967 <NA> <NA> 9.820732505 <NA>
## X1968 <NA> <NA> 10.07946438 <NA>
## X1969 <NA> <NA> 10.35691935 <NA>
## X1970 <NA> <NA> 11.46213504 <NA>
## X1971 0 <NA> 9.140746962 <NA>
## X1972 0 <NA> 9.094415697 <NA>
## X1973 0 <NA> 9.589727773 <NA>
## X1974 0 <NA> 8.705497685 <NA>
## X1975 0 0 7.86313509 10.36750963
## X1976 0 100 8.44544043 10.41163683
## X1977 0 100 10.53819387 10.94907407
## X1978 0 -100 11.14433413 11.05311074
## X1979 0 100 11.20414085 9.56560833
## X1980 0 0 11.16868704 9.485675966
## X1981 0 0 11.52817967 9.067272194
## X1982 0 -100 12.04659867 9.610171605
## X1983 0 100 11.99348312 10.76718039
## X1984 0 0 11.8329533 9.565879883
## X1985 0 0 14.27252823 13.05327781
## X1986 0 0 14.99892326 11.15318355
## X1987 0 0 14.96148065 12.10697733
## X1988 0 0 15.18217044 12.79223988
## X1989 0 0 15.6549306 9.268615085
## X1990 0 0 15.34675485 8.415525644
## X1991 0 0 16.44736311 11.3868224
## X1992 0 -0.0000153 19.39830167 12.40616471
## X1993 0 0 19.52049726 14.51998497
## X1994 0 0 20.39172588 14.37833715
## X1995 0 0 21.27386791 15.19333866
## X1996 0 -100 21.49305179 15.4499765
## X1997 0 0 21.4004342 14.75938727
## X1998 0 0 21.07596935 14.22725988
## X1999 0 0 20.44112316 12.09843408
## X2000 0 0 20.73557003 12.35559491
## X2001 0 -200000 16.6609083 15.1040088
## X2002 0 -392700 16.94682474 15.76909432
## X2003 0 -219000 16.97130006 16.93391924
## X2004 0 -56800.00002 16.65732027 17.55494654
## X2005 0 445300 16.46708923 17.02137045
## X2006 0 -122000 16.06796681 18.0440127
## X2007 0 -705900 15.87314018 17.68167435
## X2008 0 121600 16.04998664 17.8325965
## X2009 0 276400 15.06680347 16.87399825
## X2010 0 333600 14.20076226 17.70855166
## X2011 0 50385.23181 13.39346807 19.36379862
## X2012 0 16515611357 13.97716181 20.13555146
## X2013 0 34666575605 13.79833757 20.88761544
## X2014 0 91827925928 13.56456523 21.03487682
## X2015 0 62636228548 13.16165463 23.20667599
## X2016 0 30207725224 12.65541777 23.22932409
## X2017 0 144000000000 12.86258589 22.66109375
## X2018 0 279000000000 13.20063963 25.10554791
## X2019 0 294000000000 13.01067541 28.06546489
## X2020 0 101000000000 12.04731993 25.15049192
## X2021 <NA> 227000000000 11.72251561 23.52355004
## GC.DOD.TOTL.GD.ZS FS.AST.DOMO.GD.ZS EN.ATM.CO2E.PP.GD.KD
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 52.62058095 <NA> 0.030823818
## X1991 64.91143044 <NA> 0.036377176
## X1992 61.65692299 <NA> 0.036422909
## X1993 63.68153823 <NA> 0.040205249
## X1994 66.54121 <NA> 0.045848106
## X1995 66.18364321 <NA> 0.048385786
## X1996 65.19788038 <NA> 0.047388751
## X1997 59.88242969 <NA> 0.050404927
## X1998 66.35144343 <NA> 0.0518335
## X1999 64.06810979 <NA> 0.066761232
## X2000 64.57331984 <NA> 0.064878545
## X2001 58.98914159 <NA> 0.066521264
## X2002 63.93546098 <NA> 0.053575611
## X2003 62.58819538 <NA> 0.055791253
## X2004 59.41566729 <NA> 0.049589642
## X2005 51.76462305 <NA> 0.05440294
## X2006 49.68696803 <NA> 0.043227593
## X2007 42.97866114 <NA> 0.042918347
## X2008 43.79998725 <NA> 0.044960125
## X2009 <NA> <NA> 0.055812865
## X2010 33.86252123 <NA> 0.063678269
## X2011 <NA> <NA> 0.069002432
## X2012 <NA> <NA> 0.076065827
## X2013 <NA> <NA> 0.074577833
## X2014 <NA> <NA> 0.082362417
## X2015 <NA> <NA> 0.079879459
## X2016 <NA> <NA> 0.115154262
## X2017 <NA> <NA> 0.126679955
## X2018 <NA> <NA> 0.143267775
## X2019 <NA> <NA> 0.11893877
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## BX.KLT.DINV.WD.GD.ZS NY.GDP.PCAP.KN NY.GDP.FCST.KN NE.IMP.GNFS.ZS
## X1960 <NA> 25056.70299 <NA> <NA>
## X1961 <NA> 25131.45734 <NA> <NA>
## X1962 <NA> 25204.32508 <NA> <NA>
## X1963 <NA> 25266.70661 <NA> <NA>
## X1964 <NA> 26718.07075 <NA> <NA>
## X1965 <NA> 25942.05128 285000000000 13.92359896
## X1966 <NA> 27272.40202 305000000000 8.756693914
## X1967 <NA> 26347.55968 300000000000 6.952455075
## X1968 <NA> 26020.44729 302000000000 7.50034832
## X1969 <NA> 26651.89493 314000000000 10.21916105
## X1970 <NA> 26795.12173 327000000000 8.302919708
## X1971 <NA> 25939.14196 319000000000 9.129558777
## X1972 0.002929405 26196.98277 327000000000 7.917831694
## X1973 -0.001028699 25526.32007 327000000000 10.37215326
## X1974 0.020526234 26566.23024 344000000000 10.54809613
## X1975 <NA> 26372.52369 346000000000 13.36672577
## X1976 -0.002753317 26932.29018 358000000000 14.17730202
## X1977 0 27133.57131 364000000000 14.31712905
## X1978 0.025558508 27698.91747 377000000000 15.47232808
## X1979 0.016205267 27718.92103 387000000000 15.96668955
## X1980 0.015416899 26463.90251 379000000000 18.73153307
## X1981 -0.010107299 28016.96769 408000000000 19.61768132
## X1982 -0.001252385 28406.30392 425000000000 18.80727975
## X1983 -0.024518069 26925.13833 413000000000 21.31516677
## X1984 0.036804482 28856.35927 454000000000 19.44909971
## X1985 0.024809975 29937.6378 480000000000 19.99957112
## X1986 0.041041331 30611.99355 502000000000 20.30274209
## X1987 0.047003039 30452.71103 510000000000 20.90661405
## X1988 0.019500949 32073.9783 546000000000 22.38186877
## X1989 0.011914122 32692.97189 574000000000 22.28332344
## X1990 0.163746322 33375.13079 600000000000 21.66144504
## X1991 0.056611336 34585.75978 639000000000 23.18430384
## X1992 0 35043.79596 668000000000 25.73568701
## X1993 0 35413.12367 689000000000 28.75661707
## X1994 0 37319.24237 742000000000 31.43813481
## X1995 0 37655.86586 762000000000 34.51735942
## X1996 0.42374943 38738.91337 804000000000 35.64019356
## X1997 0.468752021 39803.81333 843000000000 37.70769982
## X1998 0.247611787 40163.11933 871000000000 33.88755007
## X1999 0.086439766 41128.93101 909000000000 29.71850916
## X2000 -0.008824253 42892.36069 965000000000 32.42658529
## X2001 0.347091875 44201.53955 1010000000000 33.23914736
## X2002 -0.098374869 43577.17287 1010000000000 28.49358898
## X2003 0.233443621 44654.71488 1050000000000 28.54801912
## X2004 -0.005737557 46123.30148 1100000000000 29.46459146
## X2005 0.030156296 47125.19134 1130000000000 29.47926069
## X2006 -0.073509433 48108.70221 1170000000000 31.3153968
## X2007 0.055606415 49154.26504 1210000000000 31.72361014
## X2008 0.007932157 51599.51327 1280000000000 33.26038609
## X2009 0.297715389 53503.27584 1330000000000 34.66009358
## X2010 0.548294666 55811.00425 1380000000000 36.4023696
## X2011 0.435815132 57660.96588 1440000000000 28.49061783
## X2012 0.423691401 60470.22123 1510000000000 29.17161477
## X2013 0.33471227 62770.19247 1550000000000 32.57071706
## X2014 0.133746295 66570.35442 1640000000000 35.85859949
## X2015 0.213029579 68937.81949 1700000000000 36.4511418
## X2016 0.432213143 68605.5861 1700000000000 33.93590808
## X2017 0.677439878 73765.43273 1850000000000 36.83022197
## X2018 0.206157198 78079.75959 1980000000000 40.63174592
## X2019 0.542801816 81784.26371 2110000000000 41.46959011
## X2020 0.378738964 78399.10489 2060000000000 34.11357577
## X2021 <NA> 80246.63608 2140000000000 38.60199775
## NY.GNS.ICTR.ZS NY.GDP.PCAP.CD NY.GDP.DISC.KN NV.AGR.TOTL.ZS
## X1960 <NA> 50.30493772 <NA> <NA>
## X1961 <NA> 51.81124873 <NA> <NA>
## X1962 <NA> 55.02568891 <NA> <NA>
## X1963 <NA> 46.86145326 <NA> <NA>
## X1964 <NA> 46.00340388 <NA> <NA>
## X1965 <NA> 67.00747097 <NA> 64.58407648
## X1966 <NA> 81.16442237 <NA> 68.69300568
## X1967 <NA> 73.96790076 <NA> 66.23538322
## X1968 <NA> 66.54894009 <NA> 67.39160414
## X1969 <NA> 66.63834579 <NA> 66.42454686
## X1970 <NA> 71.71859114 <NA> 66.86815807
## X1971 <NA> 71.6298781 <NA> 66.83821697
## X1972 <NA> 81.386573 <NA> 67.84646088
## X1973 <NA> 75.63696074 <NA> 65.33252722
## X1974 <NA> 92.75222233 <NA> 68.41817725
## X1975 <NA> 117.4177468 <NA> 69.00609461
## X1976 15.32126861 105.8928233 <NA> 66.08600762
## X1977 17.44328299 98.54200742 <NA> 60.12152894
## X1978 17.42714069 111.8066138 <NA> 58.8688401
## X1979 16.46995176 126.1333096 <NA> 60.1620533
## X1980 17.29647841 129.5860224 <NA> 57.89902179
## X1981 16.89507043 148.0802633 <NA> 56.79862201
## X1982 16.40122553 152.2896698 <NA> 57.16728978
## X1983 14.50573585 151.9925535 <NA> 56.52251303
## X1984 16.01258618 156.6505397 <NA> 57.29880913
## X1985 18.62311339 155.4078184 <NA> 48.85802602
## X1986 15.51950735 165.3618292 <NA> 48.69715024
## X1987 16.80707054 167.7999446 <NA> 47.95033196
## X1988 14.84427922 193.499648 <NA> 47.79210985
## X1989 13.2464208 191.1208533 <NA> 47.68956749
## X1990 10.3341958 191.8788839 <NA> 48.80289317
## X1991 11.71677402 202.0805891 <NA> 44.72338673
## X1992 15.10886219 170.5866512 <NA> 42.66526274
## X1993 16.62517071 178.6259878 <NA> 39.89594836
## X1994 13.9920437 193.2795509 <NA> 40.44170782
## X1995 21.00779388 203.9807806 <NA> 39.04140527
## X1996 20.38508266 204.6857552 <NA> 38.92765745
## X1997 19.11054397 217.7879819 <NA> 38.78073387
## X1998 20.13192901 210.6115609 <NA> 37.39300969
## X1999 20.47123509 214.1067032 <NA> 38.70148172
## X2000 21.73051331 229.4903926 <NA> 38.24389704
## X2001 18.5502235 246.7255581 <NA> 35.24767001
## X2002 25.13148362 244.7208435 <NA> 36.15029503
## X2003 25.12676611 252.4023518 <NA> 35.10587509
## X2004 27.57583417 286.1576726 <NA> 34.67635711
## X2005 30.68571741 315.80563 <NA> 33.82489668
## X2006 29.50425285 346.9453313 <NA> 32.36648504
## X2007 31.05886965 391.3800572 <NA> 31.16441132
## X2008 36.65691212 470.455459 <NA> 30.30571637
## X2009 37.24818062 478.1732528 <NA> 31.32265206
## X2010 37.75048339 592.4012071 <NA> 33.17937849
## X2011 29.51620768 797.8139473 <NA> 30.80547966
## X2012 34.55533815 804.1416073 <NA> 30.07605696
## X2013 37.08132511 823.3598746 <NA> 28.62265753
## X2014 39.58970376 844.8531249 <NA> 27.46189536
## X2015 40.08822844 901.7496077 <NA> 26.51850843
## X2016 35.30509599 899.523581 <NA> 25.51787537
## X2017 41.88064846 1048.453755 <NA> 23.69954846
## X2018 42.6031208 1178.525957 <NA> 22.33467205
## X2019 42.18750826 1194.957236 <NA> 21.58337276
## X2020 32.81975747 1147.471971 <NA> 22.18009019
## X2021 32.62383756 1222.878794 <NA> 21.31988975
## CM.MKT.TRAD.GD.ZS CM.MKT.LCAP.GD.ZS PA.NUS.PPP NY.GDP.MKTP.PP.CD
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> 6.855172398 16195204675
## X1991 <NA> <NA> 7.462756348 17809100163
## X1992 <NA> <NA> 8.645528589 18962933642
## X1993 <NA> <NA> 9.355323514 20159768606
## X1994 <NA> <NA> 9.600855654 22281961821
## X1995 <NA> <NA> 9.996182258 23538237236
## X1996 <NA> <NA> 10.58439036 25246362676
## X1997 <NA> <NA> 11.16235091 26978289337
## X1998 <NA> <NA> 11.4915425 28104868450
## X1999 <NA> <NA> 12.33891727 29758555947
## X2000 <NA> <NA> 12.60519056 32319580727
## X2001 <NA> <NA> 12.74813167 34633980664
## X2002 <NA> <NA> 13.04641998 35216021000
## X2003 <NA> <NA> 13.18673162 37327748401
## X2004 <NA> <NA> 13.37705251 40124608887
## X2005 <NA> <NA> 13.76403079 42822630163
## X2006 <NA> <NA> 14.33475801 45629232067
## X2007 <NA> <NA> 15.01878444 48461112328
## X2008 <NA> <NA> 15.56430534 52405679687
## X2009 <NA> <NA> 17.92543252 55132393547
## X2010 <NA> <NA> 20.39547456 58482287147
## X2011 <NA> <NA> 25.25461197 61740123574
## X2012 <NA> <NA> 26.00444031 67618420433
## X2013 <NA> <NA> 26.79986954 72735235363
## X2014 <NA> <NA> 28.1527462 79300444355
## X2015 <NA> <NA> 29.9425354 80942994654
## X2016 <NA> <NA> 31.99880981 81508795260
## X2017 <NA> <NA> 31.23498344 98515977279
## X2018 <NA> <NA> 31.83499365 109000000000
## X2019 <NA> <NA> 32.74274823 118000000000
## X2020 <NA> <NA> 33.39374122 116000000000
## X2021 <NA> <NA> 33.82868766 126000000000
## NY.GDP.DEFL.ZS NE.EXP.GNFS.ZS NY.GDP.PCAP.CN NY.GDP.FCST.CD
## X1960 1.529623912 <NA> 383.2733205 501246856.5
## X1961 1.570740203 <NA> 394.7499041 524609515.7
## X1962 1.663368182 <NA> 419.2407238 566084774.9
## X1963 1.72274918 <NA> 435.2819809 490057812.2
## X1964 1.743331203 <NA> 465.7844643 489185175.3
## X1965 1.96796281 7.765084037 510.5299213 725029518.3
## X1966 2.2674634 5.644810953 618.391734 883449297.8
## X1967 2.13895117 6.874512753 563.5614359 830030200.8
## X1968 2.375643789 6.84511343 618.1531398 760601612.7
## X1969 2.531577034 7.013149743 674.7132511 772740730.9
## X1970 2.710010959 4.90419708 726.1507352 860543209.9
## X1971 2.79597728 5.403893247 725.2525157 866666706.2
## X1972 3.145549465 5.661104999 824.0390516 1000493867
## X1973 3.038685537 6.610492262 775.6645961 952209183.7
## X1974 3.671512146 5.449719138 975.38237 1181532855
## X1975 4.682013144 8.901092981 1234.765025 1515405078
## X1976 4.707485278 10.77383012 1267.833595 1385557255
## X1977 4.539671827 11.78819387 1231.775093 1300400000
## X1978 4.965093868 10.57165982 1375.277253 1497987952
## X1979 5.460528978 11.78482957 1513.599716 1731583342
## X1980 5.876050473 11.54126254 1555.032269 1823833258
## X1981 6.342453541 12.9014543 1776.96316 2122166658
## X1982 6.935308657 11.59158414 1970.064855 2244613931
## X1983 7.787567315 10.23104295 2096.813272 2293718974
## X1984 8.284254462 10.6524501 2390.534231 2424853981
## X1985 9.230468152 11.52921436 2763.384122 2475325479
## X1986 10.55896975 11.66229991 3232.311139 2696949388
## X1987 11.89962122 11.81327508 3623.757263 2795556523
## X1988 13.30559838 11.44716927 4267.634736 3274268873
## X1989 14.80359226 11.06760466 4839.734257 3337334981
## X1990 16.38992821 10.52730912 5470.159975 3428743809
## X1991 18.4459854 11.49075129 6379.684199 3714570795
## X1992 21.8564811 15.95972613 7659.340641 3234463252
## X1993 24.21149711 18.43296411 8574.047413 3457916667
## X1994 25.37751946 18.99393793 9470.697996 3818836735
## X1995 26.97652183 24.97315898 10158.24288 4114738956
## X1996 29.08690473 22.81757514 11267.95082 4240799273
## X1997 31.20416757 26.32783507 12420.44861 4603910223
## X1998 32.48598818 22.82205122 13047.3862 4550476190
## X1999 35.37303335 22.84847209 14548.55049 4717880795
## X2000 36.95506882 23.28400371 15850.90141 5147574924
## X2001 41.02646356 22.56077372 18134.32852 5624870748
## X2002 42.6407966 17.73712952 18581.65365 5668339260
## X2003 43.9499991 15.69986449 19625.74678 5920137147
## X2004 45.78114379 16.68269526 21115.77497 6785394365
## X2005 48.58267072 14.58368679 22894.67653 7565717328
## X2006 52.15837436 13.44659096 25092.717 8449644451
## X2007 56.12412627 12.85566488 27587.40178 9588352545
## X2008 59.27822052 12.77582026 30587.27326 11616425419
## X2009 68.70839558 12.41935419 36761.24241 11830719902
## X2010 79.11560985 9.582536172 44155.21637 14535459375
## X2011 100 7.806134205 57660.96588 19869929072
## X2012 107.74115 8.750291287 65151.31178 19975684930
## X2013 115.3720797 9.294658678 72419.27646 20206662643
## X2014 124.6426488 10.12404212 82975.05304 20592668320
## X2015 130.1381998 10.21458859 89714.43725 21978324247
## X2016 139.4435167 8.17957804 95666.04194 22015610883
## X2017 150.9635209 7.812188656 111358.8945 25614337303
## X2018 157.5392782 7.815641022 123006.2897 28848666957
## X2019 164.9296914 7.779936474 134886.5338 29610972525
## X2020 170.2361432 6.805289826 133463.6124 29477215821
## X2021 179.6195108 5.209230429 144138.6152 31072803545
## NE.CON.TOTL.ZS GC.AST.TOTL.GD.ZS EG.GDP.PUSE.KO.PP NE.CON.GOVT.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 89.97043075 <NA> <NA> 7.585540493
## X1976 88.27181665 <NA> <NA> 7.439346944
## X1977 86.50462963 <NA> <NA> 7.291666667
## X1978 86.62071765 <NA> <NA> 7.454895806
## X1979 88.36371916 <NA> <NA> 8.503263072
## X1980 88.90411455 <NA> <NA> 6.702068293
## X1981 89.10901995 <NA> <NA> 7.038488351
## X1982 90.06712218 <NA> <NA> 8.512973306
## X1983 91.45142299 <NA> <NA> 10.11848341
## X1984 90.13455195 <NA> <NA> 9.251079165
## X1985 85.91422402 <NA> <NA> 9.382646718
## X1986 88.37628311 <NA> <NA> 9.089440815
## X1987 87.90456282 <NA> <NA> 9.07710134
## X1988 88.64255065 <NA> <NA> 8.965490339
## X1989 89.70881269 <NA> <NA> 10.02251622
## X1990 93.00831399 -0.194844125 2.797501243 8.663069544
## X1991 91.44008126 <NA> 2.979767206 8.953885671
## X1992 89.0712991 <NA> 3.097360601 7.797561985
## X1993 87.75275782 <NA> 3.208141485 8.481233137
## X1994 90.04064796 <NA> 3.424384298 8.022702638
## X1995 84.34470232 <NA> 3.507044448 9.246948785
## X1996 85.61753074 <NA> 3.673219763 9.247407729
## X1997 86.0391497 -1.122942609 3.802269095 8.90760856
## X1998 86.22612973 -1.511077133 3.86075136 9.31210424
## X1999 86.38652072 -1.068600966 3.874717122 8.925668643
## X2000 84.82771524 -0.658255334 3.986274891 8.949953622
## X2001 88.33537272 -1.628697157 4.13560758 8.104982306
## X2002 90.51033375 -1.984576977 4.158990227 8.398430273
## X2003 91.43882019 -0.924037698 4.28710773 8.66503735
## X2004 88.25075721 -0.817309394 4.542859239 8.644077586
## X2005 88.44434024 -0.184947032 4.689488849 8.899208024
## X2006 91.01692168 -0.725824206 4.997187276 8.682982614
## X2007 90.1827915 -0.433069947 5.206365149 9.198477111
## X2008 90.16890393 0.035517337 5.439841324 9.889316356
## X2009 90.56633433 0.0711545 5.558440033 10.77911749
## X2010 88.54859901 1.017425095 5.727603102 9.992588705
## X2011 92.87417397 0.147182295 5.841926857 8.197276933
## X2012 90.87936626 -1.059514594 6.693408633 7.896386254
## X2013 91.82103312 -0.300186813 6.475425412 7.534337608
## X2014 90.63528277 1.388900866 6.783790711 8.001141444
## X2015 92.37473012 2.028425282 <NA> 8.811996996
## X2016 96.35714108 4.289986965 <NA> 7.926018483
## X2017 87.01524485 0.767200801 <NA> 8.518538323
## X2018 85.20838789 -0.002792772 <NA> 8.061536277
## X2019 84.69659271 -0.864102849 <NA> 8.117095211
## X2020 94.28064253 3.152060198 <NA> 9.067732071
## X2021 92.29193766 <NA> <NA> 8.399219427
## GC.XPN.TOTL.GD.ZS FD.AST.PRVT.GD.ZS SL.UEM.NEET.ZS SL.UEM.1524.FE.ZS
## X1960 <NA> 1.040537078 <NA> <NA>
## X1961 <NA> 1.213915648 <NA> <NA>
## X1962 <NA> 1.227709163 <NA> <NA>
## X1963 <NA> 1.167677643 <NA> <NA>
## X1964 <NA> 1.42146125 <NA> <NA>
## X1965 <NA> 1.833273864 <NA> <NA>
## X1966 <NA> 1.619626527 <NA> <NA>
## X1967 <NA> 1.826968015 <NA> <NA>
## X1968 <NA> 2.141363387 <NA> <NA>
## X1969 <NA> 2.275516622 <NA> <NA>
## X1970 <NA> 2.739507299 <NA> <NA>
## X1971 <NA> 3.715596164 <NA> <NA>
## X1972 <NA> 3.43716835 <NA> <NA>
## X1973 <NA> 4.603269953 <NA> <NA>
## X1974 <NA> 4.719706618 <NA> <NA>
## X1975 <NA> 4.285800547 <NA> <NA>
## X1976 <NA> 3.529377967 <NA> <NA>
## X1977 <NA> 4.684606481 <NA> <NA>
## X1978 <NA> 5.604601435 <NA> <NA>
## X1979 <NA> 6.269187458 <NA> <NA>
## X1980 <NA> 8.396642902 <NA> <NA>
## X1981 <NA> 8.995495726 <NA> <NA>
## X1982 <NA> 8.454885981 <NA> <NA>
## X1983 <NA> 7.907879147 <NA> <NA>
## X1984 <NA> 8.199543219 <NA> <NA>
## X1985 <NA> 9.30687331 <NA> <NA>
## X1986 <NA> 10.25016151 <NA> <NA>
## X1987 <NA> 10.14828385 <NA> <NA>
## X1988 <NA> 11.56905833 <NA> <NA>
## X1989 <NA> 12.81878368 <NA> <NA>
## X1990 <NA> 12.47099095 <NA> <NA>
## X1991 <NA> 12.95458033 <NA> 2.586999893
## X1992 <NA> 13.09025213 <NA> 2.490999937
## X1993 <NA> 14.26361836 <NA> 2.424999952
## X1994 <NA> 18.29765346 <NA> 2.421000004
## X1995 <NA> 22.58190943 <NA> 2.296000004
## X1996 <NA> 22.83838128 <NA> 2.263999939
## X1997 <NA> 23.3645143 <NA> 2.20600009
## X1998 <NA> 28.21230202 <NA> 2.128999949
## X1999 <NA> 28.44902291 <NA> 2.092000008
## X2000 <NA> 30.28106291 <NA> 2.053999901
## X2001 <NA> 29.08380662 <NA> 1.978999972
## X2002 <NA> 22.50918264 <NA> 1.871000051
## X2003 <NA> 25.81266795 <NA> 1.850999951
## X2004 14.59633833 26.55397925 <NA> 1.797999978
## X2005 <NA> 28.21497492 <NA> 1.723999977
## X2006 <NA> 32.61416286 <NA> 1.659999967
## X2007 <NA> 36.77121883 <NA> 1.597000003
## X2008 <NA> 51.19786815 23.12999916 1.562999964
## X2009 <NA> 58.77492981 <NA> 1.967000008
## X2010 15.63520088 54.21260718 <NA> 2.410000086
## X2011 13.93790561 46.02557861 <NA> 2.838999987
## X2012 13.83933585 48.39298877 <NA> 3.328999996
## X2013 12.69043542 50.18531483 <NA> 3.788000107
## X2014 13.58299152 54.2201924 <NA> 4.357999802
## X2015 13.98979845 56.68439189 <NA> 4.808000088
## X2016 14.22711074 69.65767267 <NA> 4.748000145
## X2017 16.85380845 68.41674545 34.75999832 5.109000206
## X2018 20.1657917 76.16895532 <NA> 5.135000229
## X2019 21.70186528 78.84534533 <NA> 5.184000015
## X2020 20.16478293 88.34028058 <NA> 7.113999844
## X2021 <NA> <NA> <NA> 8.550000191
## SL.SRV.EMPL.ZS SL.FAM.WORK.ZS SL.EMP.TOTL.SP.FE.ZS SL.AGR.EMPL.MA.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 14.90999985 52.72999954 79.91799927 74.79000092
## X1992 14.68999958 52.59999847 80.05000305 74.68000031
## X1993 14.51000023 52.40999985 80.16300201 74.40000153
## X1994 14.39999962 52.13999939 80.1969986 73.83000183
## X1995 14.28999996 51.91999817 80.4280014 73.13999939
## X1996 14.21000004 51.61999893 80.36699677 72.13999939
## X1997 14.14000034 51.27999878 80.36599731 70.86000061
## X1998 14.10000038 50.95000076 80.41999817 69.33000183
## X1999 14.05000019 50.50999832 80.43599701 67.43000031
## X2000 14.22999954 49.99000168 80.21900177 66.37000275
## X2001 14.43000031 49.45000076 80.04399872 65.55999756
## X2002 14.60000038 49.09000015 79.91699982 65.19999695
## X2003 14.85000038 48.54999924 79.64700317 64.51999664
## X2004 15.11999989 47.93000031 79.42500305 63.90000153
## X2005 15.39000034 47.36999893 79.22899628 63.38000107
## X2006 15.67000008 46.79000092 79.01000214 62.84999847
## X2007 15.97000027 46.20999908 78.78500366 62.36000061
## X2008 16.30999947 45.5 78.53399658 61.56999969
## X2009 16.64999962 44.77999878 78.45800018 61.00999832
## X2010 16.96999931 44.02000046 78.41100311 60.40000153
## X2011 17.30999947 43.33000183 78.47499847 59.70999908
## X2012 17.72999954 42.56000137 78.61199951 58.54999924
## X2013 18.12000084 41.81999969 78.86499786 57.40000153
## X2014 18.54999924 40.95000076 79.00499725 56.13000107
## X2015 18.94000053 40.25 79.22499847 55.20999908
## X2016 19.29000092 39.70000076 79.73400116 54.93000031
## X2017 19.70999908 38.81999969 79.71199799 53.79000092
## X2018 20.11000061 38.02999878 79.94200134 52.88999939
## X2019 20.52000046 37.20000076 80.06400299 52.11000061
## X2020 <NA> <NA> 72.26599884 <NA>
## X2021 <NA> <NA> 74.80899811 <NA>
## per_lm_alllm.cov_q5_tot SL.UEM.INTM.MA.ZS SL.TLF.PART.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> <NA> <NA>
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 <NA> 1.929999948 30.57999992
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> <NA>
## X2015 <NA> <NA> <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> 13.25 29.88999939
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.TLF.0714.WK.MA.ZS SL.SRV.0714.MA.ZS SL.FAM.0714.MA.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 23.22274882 9.723161033 91.8
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 10.23713436 4.17 91.97
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 7.136226177 <NA> <NA>
## X2015 <NA> <NA> <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> <NA> <NA>
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.EMP.SELF.MA.ZS SL.AGR.0714.FE.ZS per_lm_alllm.cov_q1_tot
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 77.61000061 <NA> <NA>
## X1992 77.61000061 <NA> <NA>
## X1993 77.62000275 <NA> <NA>
## X1994 77.40000153 <NA> <NA>
## X1995 77.33999634 <NA> <NA>
## X1996 77.11000061 <NA> <NA>
## X1997 76.80999756 <NA> <NA>
## X1998 76.62000275 <NA> <NA>
## X1999 76.27999878 85.9 <NA>
## X2000 75.73000336 <NA> <NA>
## X2001 75.25 <NA> <NA>
## X2002 75.34999847 <NA> <NA>
## X2003 75.08000183 <NA> <NA>
## X2004 74.68000031 <NA> <NA>
## X2005 74.37999725 <NA> <NA>
## X2006 74.09999847 <NA> <NA>
## X2007 73.83000183 <NA> <NA>
## X2008 73.22000122 88.93 <NA>
## X2009 72.61000061 <NA> <NA>
## X2010 71.84999847 <NA> <NA>
## X2011 71.08000183 <NA> <NA>
## X2012 70.02999878 <NA> <NA>
## X2013 68.97000122 <NA> <NA>
## X2014 67.65000153 <NA> <NA>
## X2015 66.77999878 <NA> <NA>
## X2016 66.62999725 <NA> <NA>
## X2017 65.62000275 <NA> <NA>
## X2018 64.80999756 <NA> <NA>
## X2019 63.99000168 <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.UEM.TOTL.FE.ZS SL.UEM.1524.MA.ZS SL.TLF.0714.MA.ZS SL.IND.EMPL.FE.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 1.720999956 3.75999999 <NA> 1.440000057
## X1992 1.662999988 3.680000067 <NA> 1.649999976
## X1993 1.654999971 3.663000107 <NA> 1.899999976
## X1994 1.763000011 3.753000021 <NA> 2.25
## X1995 1.643000007 3.647000074 <NA> 2.619999886
## X1996 1.68599999 3.710000038 <NA> 3.089999914
## X1997 1.677000046 3.720000029 <NA> 3.650000095
## X1998 1.628000021 3.696000099 <NA> 4.269999981
## X1999 1.659000039 3.720000029 42.2 5.039999962
## X2000 1.636999965 3.638000011 <NA> 5.46999979
## X2001 1.537999988 3.551000118 <NA> 5.75
## X2002 1.376000047 3.400000095 <NA> 5.949999809
## X2003 1.383999944 3.377000093 <NA> 6.139999866
## X2004 1.330000043 3.289999962 <NA> 6.300000191
## X2005 1.24000001 3.176000118 <NA> 6.409999847
## X2006 1.169999957 3.052999973 <NA> 6.460000038
## X2007 1.101999998 2.933000088 <NA> 6.519999981
## X2008 1.07099998 2.842999935 36.2 6.690000057
## X2009 1.307000041 3.388000011 <NA> 6.849999905
## X2010 1.572999954 3.982000113 <NA> 7.070000172
## X2011 1.802000046 4.551000118 <NA> 7.269999981
## X2012 2.094000101 5.18200016 <NA> 7.480000019
## X2013 2.329999924 5.736000061 <NA> 7.679999828
## X2014 2.690999985 6.420000076 41.50491273 7.940000057
## X2015 2.878999949 6.870999813 <NA> 8.119999886
## X2016 2.721999884 6.546999931 <NA> 8.119999886
## X2017 3.076999903 7.008999825 <NA> 8.329999924
## X2018 3.002000093 6.90199995 <NA> 8.5
## X2019 2.944999933 6.835999966 <NA> 8.619999886
## X2020 4.532999992 9.159000397 <NA> <NA>
## X2021 4.934000015 10.56900024 <NA> <NA>
## SL.EMP.TOTL.SP.MA.ZS SL.EMP.1524.SP.FE.NE.ZS SL.UEM.TOTL.FE.NE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 88.94499969 <NA> <NA>
## X1992 88.86499786 <NA> <NA>
## X1993 88.70899963 <NA> <NA>
## X1994 88.37999725 <NA> <NA>
## X1995 88.43599701 <NA> <NA>
## X1996 88.31300354 <NA> <NA>
## X1997 88.28800201 <NA> <NA>
## X1998 88.33699799 <NA> <NA>
## X1999 88.22699738 <NA> 1.659999967
## X2000 87.95999908 <NA> <NA>
## X2001 87.80400085 <NA> <NA>
## X2002 87.75099945 <NA> <NA>
## X2003 87.39299774 <NA> <NA>
## X2004 87.13700104 <NA> <NA>
## X2005 86.94000244 <NA> <NA>
## X2006 86.69599915 <NA> <NA>
## X2007 86.44100189 <NA> <NA>
## X2008 86.11199951 73.80999756 1.080000043
## X2009 85.68199921 <NA> <NA>
## X2010 85.17500305 <NA> <NA>
## X2011 84.77500153 <NA> <NA>
## X2012 84.23200226 <NA> <NA>
## X2013 83.73699951 <NA> <NA>
## X2014 83.01999664 <NA> <NA>
## X2015 82.5719986 <NA> 2.900000095
## X2016 82.51899719 <NA> <NA>
## X2017 81.76000214 16.56999969 12.02000046
## X2018 81.71199799 <NA> <NA>
## X2019 81.6989975 <NA> <NA>
## X2020 75.53800201 <NA> <NA>
## X2021 76.5739975 <NA> <NA>
## SL.UEM.1524.MA.NE.ZS SL.TLF.0714.FE.ZS SL.EMP.TOTL.SP.MA.NE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> 71
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 3.960000038 52.4 88.33000183
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> 90
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 2.910000086 45.4 86.33999634
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> 82.90000153
## X2014 <NA> 44.09135567 84.19999695
## X2015 <NA> <NA> <NA>
## X2016 <NA> <NA> <NA>
## X2017 19.22999954 <NA> 49.56999969
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.AGR.EMPL.ZS SL.UEM.INTM.ZS SL.SRV.0714.ZS SL.FAM.0714.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 82.33000183 <NA> <NA> <NA>
## X1992 82.09999847 <NA> <NA> <NA>
## X1993 81.75 <NA> <NA> <NA>
## X1994 81.15000153 <NA> <NA> <NA>
## X1995 80.51999664 <NA> <NA> <NA>
## X1996 79.68000031 <NA> <NA> <NA>
## X1997 78.66000366 <NA> <NA> <NA>
## X1998 77.51999664 <NA> <NA> <NA>
## X1999 76.11000061 <NA> 11.06 92.41
## X2000 75.25 <NA> <NA> <NA>
## X2001 74.58999634 <NA> <NA> <NA>
## X2002 74.19000244 <NA> <NA> <NA>
## X2003 73.61000061 <NA> <NA> <NA>
## X2004 73.08000183 <NA> <NA> <NA>
## X2005 72.63999939 <NA> <NA> <NA>
## X2006 72.20999908 <NA> <NA> <NA>
## X2007 71.77999878 <NA> <NA> <NA>
## X2008 71.12999725 1.820000052 3.09 92.26
## X2009 70.61000061 <NA> <NA> <NA>
## X2010 70.04000092 <NA> <NA> <NA>
## X2011 69.54000092 <NA> <NA> <NA>
## X2012 68.86000061 <NA> <NA> <NA>
## X2013 68.23999786 <NA> <NA> <NA>
## X2014 67.48000336 <NA> <NA> <NA>
## X2015 66.93000031 <NA> <NA> <NA>
## X2016 66.66000366 <NA> <NA> <NA>
## X2017 65.80999756 14.46000004 <NA> <NA>
## X2018 65.08000183 <NA> <NA> <NA>
## X2019 64.37999725 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.EMP.SELF.ZS SL.AGR.0714.MA.ZS per_lm_alllm.cov_q2_tot
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 85.44999695 <NA> <NA>
## X1992 85.40000153 <NA> <NA>
## X1993 85.36000061 <NA> <NA>
## X1994 85.19000244 <NA> <NA>
## X1995 85.12999725 <NA> <NA>
## X1996 85 <NA> <NA>
## X1997 84.83999634 <NA> <NA>
## X1998 84.73999786 <NA> <NA>
## X1999 84.56999969 88.3 <NA>
## X2000 84.26000214 <NA> <NA>
## X2001 83.94999695 <NA> <NA>
## X2002 83.97000122 <NA> <NA>
## X2003 83.79000092 <NA> <NA>
## X2004 83.51999664 <NA> <NA>
## X2005 83.30999756 <NA> <NA>
## X2006 83.09999847 <NA> <NA>
## X2007 82.90000153 <NA> <NA>
## X2008 82.5 89.03 <NA>
## X2009 82.12999725 <NA> <NA>
## X2010 81.69999695 <NA> <NA>
## X2011 81.33000183 <NA> <NA>
## X2012 80.83999634 <NA> <NA>
## X2013 80.37000275 <NA> <NA>
## X2014 79.73000336 <NA> <NA>
## X2015 79.29000092 <NA> <NA>
## X2016 79.15000153 <NA> <NA>
## X2017 78.51999664 <NA> <NA>
## X2018 77.95999908 <NA> <NA>
## X2019 77.33999634 <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.UEM.TOTL.MA.ZS SL.UEM.1524.ZS SL.TLF.0714.SW.FE.ZS SL.IND.EMPL.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 1.807999969 3.203000069 <NA> 2.75999999
## X1992 1.746999979 3.119999886 <NA> 3.210000038
## X1993 1.771000028 3.082999945 <NA> 3.74000001
## X1994 1.998999953 3.130000114 <NA> 4.449999809
## X1995 1.825000048 3.013999939 <NA> 5.199999809
## X1996 1.944000006 3.023999929 <NA> 6.119999886
## X1997 1.972000003 2.992000103 <NA> 7.199999809
## X1998 1.922999978 2.931999922 <NA> 8.380000114
## X1999 2.029000044 2.917999983 53.8 9.840000153
## X2000 2.062999964 2.851999998 <NA> 10.52000046
## X2001 1.945000052 2.763000011 <NA> 10.97999954
## X2002 1.703999996 2.625999928 <NA> 11.21000004
## X2003 1.796000004 2.598999977 <NA> 11.53999996
## X2004 1.768000007 2.525000095 <NA> 11.80000019
## X2005 1.666000009 2.427999973 <NA> 11.97000027
## X2006 1.605999947 2.336999893 <NA> 12.11999989
## X2007 1.549999952 2.249000072 <NA> 12.25
## X2008 1.577000022 2.188999891 83.75918546 12.56999969
## X2009 1.786999941 2.660000086 <NA> 12.73999977
## X2010 2.062999964 3.171000004 <NA> 12.98999977
## X2011 2.263999939 3.654000044 <NA> 13.15999985
## X2012 2.585000038 4.193999767 <NA> 13.40999985
## X2013 2.801000118 4.683000088 <NA> 13.64999962
## X2014 3.246999979 5.296000004 89.79322999 13.97999954
## X2015 3.375 5.744999886 <NA> 14.14000034
## X2016 3.051000118 5.565000057 <NA> 14.05000019
## X2017 3.625 5.974999905 <NA> 14.47999954
## X2018 3.436000109 5.947000027 <NA> 14.81000042
## X2019 3.288000107 5.951000214 <NA> 15.10999966
## X2020 4.955999851 8.088000298 <NA> <NA>
## X2021 5.197000027 9.501000404 <NA> <NA>
## SL.EMP.TOTL.SP.ZS SL.EMP.1524.SP.MA.NE.ZS SL.UEM.INTM.FE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 84.33599854 <NA> <NA>
## X1992 84.39600372 <NA> <NA>
## X1993 84.40699768 <NA> <NA>
## X1994 84.28500366 <NA> <NA>
## X1995 84.44200134 <NA> <NA>
## X1996 84.33999634 <NA> <NA>
## X1997 84.30699921 <NA> <NA>
## X1998 84.33200073 <NA> <NA>
## X1999 84.26200104 <NA> <NA>
## X2000 83.99900055 <NA> <NA>
## X2001 83.82900238 <NA> <NA>
## X2002 83.73400116 <NA> <NA>
## X2003 83.41999817 <NA> <NA>
## X2004 83.17900085 <NA> <NA>
## X2005 82.98000336 <NA> <NA>
## X2006 82.75099945 <NA> <NA>
## X2007 82.51399994 <NA> <NA>
## X2008 82.22200012 74.83999634 1.659999967
## X2009 81.95999908 <NA> <NA>
## X2010 81.66600037 <NA> <NA>
## X2011 81.45500183 <NA> <NA>
## X2012 81.21299744 <NA> <NA>
## X2013 81.06700134 <NA> <NA>
## X2014 80.78099823 <NA> <NA>
## X2015 80.67900085 <NA> <NA>
## X2016 80.93800354 <NA> <NA>
## X2017 80.59700012 31.90999985 16.51000023
## X2018 80.70899963 <NA> <NA>
## X2019 80.77700043 <NA> <NA>
## X2020 73.70200348 <NA> <NA>
## X2021 75.59200287 <NA> <NA>
## SL.TLF.PART.MA.ZS SL.SRV.0714.FE.ZS SL.FAM.0714.FE.ZS SL.EMP.SELF.FE.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> 93.81999969
## X1992 <NA> <NA> <NA> 93.83000183
## X1993 <NA> <NA> <NA> 93.83000183
## X1994 <NA> <NA> <NA> 93.80999756
## X1995 <NA> <NA> <NA> 93.77999878
## X1996 <NA> <NA> <NA> 93.72000122
## X1997 <NA> <NA> <NA> 93.62999725
## X1998 <NA> <NA> <NA> 93.52999878
## X1999 <NA> 12.27995312 92.9 93.41000366
## X2000 <NA> <NA> <NA> 93.26999664
## X2001 <NA> <NA> <NA> 93.12000275
## X2002 <NA> <NA> <NA> 93.04000092
## X2003 <NA> <NA> <NA> 92.94000244
## X2004 <NA> <NA> <NA> 92.80999756
## X2005 <NA> <NA> <NA> 92.68000031
## X2006 <NA> <NA> <NA> 92.55000305
## X2007 <NA> <NA> <NA> 92.41000366
## X2008 26.86000061 2.19 92.51 92.23000336
## X2009 <NA> <NA> <NA> 91.98000336
## X2010 <NA> <NA> <NA> 91.69000244
## X2011 <NA> <NA> <NA> 91.33000183
## X2012 <NA> <NA> <NA> 90.87000275
## X2013 <NA> <NA> <NA> 90.37999725
## X2014 <NA> <NA> <NA> 89.80999756
## X2015 <NA> <NA> <NA> 89.30000305
## X2016 <NA> <NA> <NA> 89
## X2017 23.45999908 <NA> <NA> 88.62000275
## X2018 <NA> <NA> <NA> 88.25
## X2019 <NA> <NA> <NA> 87.88999939
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## per_lm_alllm.cov_pop_tot SL.UEM.NEET.MA.ZS SL.UEM.1524.FE.NE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> <NA> 2.160000086
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 <NA> 21.89999962 1.590000033
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> <NA>
## X2015 <NA> 86.79000092 <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> 21.15999985 22.47999954
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.TLF.0714.ZS SL.SRV.EMPL.MA.ZS SL.FAM.WORK.MA.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> 21.21999931 35.90000153
## X1992 <NA> 20.67000008 35.79999924
## X1993 <NA> 20.18000031 35.61999893
## X1994 <NA> 19.72999954 35.31000137
## X1995 <NA> 19.34000015 35
## X1996 <NA> 19.01000023 34.50999832
## X1997 <NA> 18.70000076 33.91999817
## X1998 <NA> 18.47999954 33.29000092
## X1999 47.2 18.22999954 32.54999924
## X2000 <NA> 18.32999992 31.70999908
## X2001 <NA> 18.48999977 30.94000053
## X2002 <NA> 18.59000015 30.37999916
## X2003 <NA> 18.81999969 29.63999939
## X2004 <NA> 19.06999969 28.81999969
## X2005 <NA> 19.34000015 28.05999947
## X2006 <NA> 19.63999939 27.32999992
## X2007 <NA> 19.94000053 26.60000038
## X2008 40.6 20.26000023 25.71999931
## X2009 <NA> 20.55999947 24.73999977
## X2010 <NA> 20.78000069 23.70999908
## X2011 <NA> 21.10000038 22.59000015
## X2012 <NA> 21.65999985 21.29000092
## X2013 <NA> 22.14999962 20.05999947
## X2014 42.82749291 22.67000008 18.77000046
## X2015 <NA> 23.12000084 17.75
## X2016 <NA> 23.48999977 17.13999939
## X2017 <NA> 23.87000084 16.29999924
## X2018 <NA> 24.22999954 15.60000038
## X2019 <NA> 24.57999992 14.96000004
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.EMP.TOTL.SP.FE.NE.ZS SL.AGR.EMPL.FE.ZS per_lm_alllm.cov_q4_tot
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> 90.38999939 <NA>
## X1992 <NA> 90.12000275 <NA>
## X1993 <NA> 89.80000305 <NA>
## X1994 <NA> 89.25 <NA>
## X1995 <NA> 88.72000122 <NA>
## X1996 63.70000076 88.01999664 <NA>
## X1997 <NA> 87.19999695 <NA>
## X1998 <NA> 86.37999725 <NA>
## X1999 80.51000214 85.37999725 <NA>
## X2000 <NA> 84.62999725 <NA>
## X2001 <NA> 84.09999847 <NA>
## X2002 <NA> 83.65000153 <NA>
## X2003 93 83.19000244 <NA>
## X2004 <NA> 82.73000336 <NA>
## X2005 <NA> 82.34999847 <NA>
## X2006 <NA> 82.02999878 <NA>
## X2007 <NA> 81.68000031 <NA>
## X2008 78.73999786 81.15000153 <NA>
## X2009 <NA> 80.54000092 <NA>
## X2010 <NA> 79.83000183 <NA>
## X2011 <NA> 79.12000275 <NA>
## X2012 <NA> 78.44000244 <NA>
## X2013 74.90000153 77.76000214 <NA>
## X2014 76.40000153 76.94999695 <NA>
## X2015 <NA> 76.29000092 <NA>
## X2016 <NA> 75.88999939 <NA>
## X2017 24.55999947 75.22000122 <NA>
## X2018 <NA> 74.62000275 <NA>
## X2019 <NA> 74.08000183 <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.WAG.0714.MA.ZS SL.UEM.BASC.FE.ZS SL.TLF.0714.SW.ZS SL.SLF.0714.FE.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> <NA>
## X1992 <NA> <NA> <NA> <NA>
## X1993 <NA> <NA> <NA> <NA>
## X1994 <NA> <NA> <NA> <NA>
## X1995 <NA> <NA> <NA> <NA>
## X1996 <NA> <NA> <NA> <NA>
## X1997 <NA> <NA> <NA> <NA>
## X1998 <NA> <NA> <NA> <NA>
## X1999 4 <NA> 64.4 4.3
## X2000 <NA> <NA> <NA> <NA>
## X2001 <NA> <NA> <NA> <NA>
## X2002 <NA> <NA> <NA> <NA>
## X2003 <NA> <NA> <NA> <NA>
## X2004 <NA> <NA> <NA> <NA>
## X2005 <NA> <NA> <NA> <NA>
## X2006 <NA> <NA> <NA> <NA>
## X2007 <NA> <NA> <NA> <NA>
## X2008 2.54 1.080000043 86.50597704 5.71
## X2009 <NA> <NA> <NA> <NA>
## X2010 <NA> <NA> <NA> <NA>
## X2011 <NA> <NA> <NA> <NA>
## X2012 <NA> <NA> <NA> <NA>
## X2013 <NA> <NA> <NA> <NA>
## X2014 <NA> <NA> 91.24855939 <NA>
## X2015 <NA> <NA> <NA> <NA>
## X2016 <NA> <NA> <NA> <NA>
## X2017 <NA> 12.64000034 <NA> <NA>
## X2018 <NA> <NA> <NA> <NA>
## X2019 <NA> <NA> <NA> <NA>
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.EMP.WORK.FE.ZS SL.EMP.MPYR.FE.ZS SL.WAG.0714.ZS SL.UEM.BASC.MA.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 6.179999828 0.25 <NA> <NA>
## X1992 6.170000076 0.25 <NA> <NA>
## X1993 6.170000076 0.25 <NA> <NA>
## X1994 6.190000057 0.25 <NA> <NA>
## X1995 6.21999979 0.25 <NA> <NA>
## X1996 6.28000021 0.25999999 <NA> <NA>
## X1997 6.369999886 0.25999999 <NA> <NA>
## X1998 6.46999979 0.25999999 <NA> <NA>
## X1999 6.590000153 0.25999999 3.27 <NA>
## X2000 6.739999771 0.270000011 <NA> <NA>
## X2001 6.880000114 0.270000011 <NA> <NA>
## X2002 6.960000038 0.270000011 <NA> <NA>
## X2003 7.059999943 0.270000011 <NA> <NA>
## X2004 7.190000057 0.280000001 <NA> <NA>
## X2005 7.329999924 0.280000001 <NA> <NA>
## X2006 7.449999809 0.280000001 <NA> <NA>
## X2007 7.590000153 0.289999992 <NA> <NA>
## X2008 7.769999981 0.289999992 2.08 1
## X2009 8.020000458 0.300000012 <NA> <NA>
## X2010 8.31000042 0.310000002 <NA> <NA>
## X2011 8.670000076 0.319999993 <NA> <NA>
## X2012 9.130000114 0.340000004 <NA> <NA>
## X2013 9.619999886 0.349999994 <NA> <NA>
## X2014 10.18999958 0.370000005 <NA> <NA>
## X2015 10.71000004 0.389999986 <NA> <NA>
## X2016 11 0.400000006 <NA> <NA>
## X2017 11.38000011 0.409999996 <NA> 8.649999619
## X2018 11.75 0.419999987 <NA> <NA>
## X2019 12.10999966 0.430000007 <NA> <NA>
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.SLF.0714.MA.ZS SL.EMP.WORK.MA.ZS SL.EMP.MPYR.MA.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> 22.38999939 1.50999999
## X1992 <NA> 22.38999939 1.5
## X1993 <NA> 22.37999916 1.5
## X1994 <NA> 22.60000038 1.5
## X1995 <NA> 22.65999985 1.50999999
## X1996 <NA> 22.88999939 1.50999999
## X1997 <NA> 23.19000053 1.519999981
## X1998 <NA> 23.38999939 1.539999962
## X1999 4.1 23.71999931 1.549999952
## X2000 <NA> 24.27000046 1.559999943
## X2001 <NA> 24.76000023 1.570000052
## X2002 <NA> 24.64999962 1.580000043
## X2003 <NA> 24.92000008 1.590000033
## X2004 <NA> 25.31999969 1.590000033
## X2005 <NA> 25.62000084 1.600000024
## X2006 <NA> 25.89999962 1.610000014
## X2007 <NA> 26.17000008 1.620000005
## X2008 5.17 26.78000069 1.629999995
## X2009 <NA> 27.38999939 1.639999986
## X2010 <NA> 28.14999962 1.649999976
## X2011 <NA> 28.93000031 1.669999957
## X2012 <NA> 29.96999931 1.710000038
## X2013 <NA> 31.03000069 1.730000019
## X2014 <NA> 32.34999847 1.75999999
## X2015 <NA> 33.22000122 1.789999962
## X2016 <NA> 33.36999893 1.809999943
## X2017 <NA> 34.38000107 1.799999952
## X2018 <NA> 35.18999863 1.799999952
## X2019 <NA> 36.00999832 1.789999962
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## per_lm_alllm.adq_pop_tot SL.UEM.NEET.FE.ZS SL.TLF.0714.WK.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> <NA> 35.6
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 <NA> 24.11000061 13.49402296
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> 8.751440606
## X2015 <NA> <NA> <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> 45.81999969 <NA>
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.SRV.EMPL.FE.ZS SL.FAM.WORK.FE.ZS SL.EMP.SMGT.FE.ZS SL.AGR.0714.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 8.170000076 70.69999695 <NA> <NA>
## X1992 8.220000267 70.76000214 <NA> <NA>
## X1993 8.300000191 70.80000305 <NA> <NA>
## X1994 8.5 70.75 <NA> <NA>
## X1995 8.670000076 70.72000122 <NA> <NA>
## X1996 8.890000343 70.55000305 <NA> <NA>
## X1997 9.149999619 70.30000305 <NA> <NA>
## X1998 9.350000381 70.04000092 <NA> <NA>
## X1999 9.579999924 69.68000031 <NA> 87.01
## X2000 9.899999619 69.30000305 <NA> <NA>
## X2001 10.14999962 68.94999695 <NA> <NA>
## X2002 10.40999985 68.76999664 <NA> <NA>
## X2003 10.67000008 68.44000244 <NA> <NA>
## X2004 10.97000027 68.01999664 <NA> <NA>
## X2005 11.25 67.62000275 <NA> <NA>
## X2006 11.51000023 67.19999695 <NA> <NA>
## X2007 11.80000019 66.79000092 <NA> <NA>
## X2008 12.15999985 66.23000336 <NA> 88.97
## X2009 12.60000038 65.51000214 <NA> <NA>
## X2010 13.10000038 64.62999725 <NA> <NA>
## X2011 13.60999966 63.54999924 <NA> <NA>
## X2012 14.09000015 62.29000092 <NA> <NA>
## X2013 14.56999969 60.93000031 <NA> <NA>
## X2014 15.10999966 59.47000122 <NA> <NA>
## X2015 15.59000015 58.22999954 <NA> <NA>
## X2016 15.98999977 57.45000076 <NA> <NA>
## X2017 16.45000076 56.45000076 13.89999962 <NA>
## X2018 16.88999939 55.59000015 <NA> <NA>
## X2019 17.29999924 54.79000092 <NA> <NA>
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## per_lm_alllm.cov_q3_tot SL.UEM.TOTL.NE.ZS SL.UEM.ADVN.FE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> 4.5 <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> 1.850000024 <NA>
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 <NA> 1.330000043 5.900000095
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> <NA>
## X2015 <NA> 3.099999905 <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> 10.65999985 7.679999828
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.MNF.0714.FE.ZS SL.EMP.VULN.FE.ZS SL.EMP.1524.SP.MA.ZS SL.UEM.BASC.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> 93.55999756 80.96700287 <NA>
## X1992 <NA> 93.58000183 80.88800049 <NA>
## X1993 <NA> 93.58000374 80.76899719 <NA>
## X1994 <NA> 93.56999969 80.58100128 <NA>
## X1995 <NA> 93.53000069 80.58300018 <NA>
## X1996 <NA> 93.47000313 80.43900299 <NA>
## X1997 <NA> 93.37000275 80.36399841 <NA>
## X1998 <NA> 93.27000046 80.3259964 <NA>
## X1999 1.531663387 93.14999962 80.23200226 <NA>
## X2000 <NA> 93.00000381 79.72399902 <NA>
## X2001 <NA> 92.84999657 79.15299988 <NA>
## X2002 <NA> 92.76999664 78.60800171 <NA>
## X2003 <NA> 92.67000198 77.94100189 <NA>
## X2004 <NA> 92.5399971 77.31300354 <NA>
## X2005 <NA> 92.40000343 76.7009964 <NA>
## X2006 <NA> 92.25999641 76.10399628 <NA>
## X2007 <NA> 92.13000107 75.48300171 <NA>
## X2008 1.48 91.94000244 74.81800079 1.029999971
## X2009 <NA> 91.68000221 73.82299805 <NA>
## X2010 <NA> 91.38999748 72.7539978 <NA>
## X2011 <NA> 91.00999832 71.80699921 <NA>
## X2012 <NA> 90.53000069 70.84400177 <NA>
## X2013 <NA> 90.03000069 69.96399689 <NA>
## X2014 <NA> 89.43000031 69.01699829 <NA>
## X2015 <NA> 88.89999962 68.28299713 <NA>
## X2016 <NA> 88.61000061 68.16400146 <NA>
## X2017 <NA> 88.21000099 67.49500275 9.81000042
## X2018 <NA> 87.83000183 67.27700043 <NA>
## X2019 <NA> 87.47000122 67.08100128 <NA>
## X2020 <NA> <NA> 59.40100098 <NA>
## X2021 <NA> <NA> 60.61999893 <NA>
## SL.TLF.PART.FE.ZS SL.TLF.0714.WK.FE.ZS SL.SLF.0714.ZS SL.EMP.WORK.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> 14.56000042
## X1992 <NA> <NA> <NA> 14.60000038
## X1993 <NA> <NA> <NA> 14.64000034
## X1994 <NA> <NA> <NA> 14.81000042
## X1995 <NA> <NA> <NA> 14.86999989
## X1996 <NA> <NA> <NA> 15.01000023
## X1997 <NA> <NA> <NA> 15.15999985
## X1998 <NA> <NA> <NA> 15.26000023
## X1999 <NA> 46.2 4.23 15.43000031
## X2000 <NA> <NA> <NA> 15.73999977
## X2001 <NA> <NA> <NA> 16.04999924
## X2002 <NA> <NA> <NA> 16.03000069
## X2003 <NA> <NA> <NA> 16.21999931
## X2004 <NA> <NA> <NA> 16.47999954
## X2005 <NA> <NA> <NA> 16.69000053
## X2006 <NA> <NA> <NA> 16.89999962
## X2007 <NA> <NA> <NA> 17.10000038
## X2008 34.04999924 16.24081454 5.46 17.5
## X2009 <NA> <NA> <NA> 17.87000084
## X2010 <NA> <NA> <NA> 18.29999924
## X2011 <NA> <NA> <NA> 18.67000008
## X2012 <NA> <NA> <NA> 19.15999985
## X2013 <NA> <NA> <NA> 19.62999916
## X2014 <NA> 10.20677001 <NA> 20.27000046
## X2015 <NA> <NA> <NA> 20.70999908
## X2016 <NA> <NA> <NA> 20.85000038
## X2017 40.25999832 <NA> <NA> 21.47999954
## X2018 <NA> <NA> <NA> 22.04000092
## X2019 <NA> <NA> <NA> 22.67000008
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.EMP.MPYR.ZS per_lm_alllm.ben_q1_tot SL.UEM.TOTL.ZS SL.UEM.ADVN.MA.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 0.899999976 <NA> 1.766000032 <NA>
## X1992 0.899999976 <NA> 1.707000017 <NA>
## X1993 0.910000026 <NA> 1.715999961 <NA>
## X1994 0.910000026 <NA> 1.886999965 <NA>
## X1995 0.910000026 <NA> 1.738000035 <NA>
## X1996 0.920000017 <NA> 1.82099998 <NA>
## X1997 0.920000017 <NA> 1.83099997 <NA>
## X1998 0.930000007 <NA> 1.781000018 <NA>
## X1999 0.930000007 <NA> 1.850000024 <NA>
## X2000 0.930000007 <NA> 1.855000019 <NA>
## X2001 0.939999998 <NA> 1.746000051 <NA>
## X2002 0.939999998 <NA> 1.54400003 <NA>
## X2003 0.949999988 <NA> 1.595000029 <NA>
## X2004 0.949999988 <NA> 1.55400002 <NA>
## X2005 0.959999979 <NA> 1.457999945 <NA>
## X2006 0.959999979 <NA> 1.393000007 <NA>
## X2007 0.970000029 <NA> 1.33099997 <NA>
## X2008 0.970000029 <NA> 1.330000043 4.590000153
## X2009 0.980000019 <NA> 1.550999999 <NA>
## X2010 0.99000001 <NA> 1.820000052 <NA>
## X2011 0.99000001 <NA> 2.029999971 <NA>
## X2012 1 <NA> 2.329999924 <NA>
## X2013 1 <NA> 2.551000118 <NA>
## X2014 1.00999999 <NA> 2.944000006 <NA>
## X2015 1.00999999 <NA> 3.099999905 <NA>
## X2016 1.019999981 <NA> 2.868000031 <NA>
## X2017 1.019999981 <NA> 3.318000078 8.609999657
## X2018 1.029999971 <NA> 3.193000078 <NA>
## X2019 1.029999971 <NA> 3.096999884 <NA>
## X2020 <NA> <NA> 4.723999977 <NA>
## X2021 <NA> <NA> 5.052000046 <NA>
## SL.TLF.0714.SW.MA.ZS SL.MNF.0714.MA.ZS SL.EMP.VULN.MA.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> 76.10000229
## X1992 <NA> <NA> 76.11000061
## X1993 <NA> <NA> 76.11999893
## X1994 <NA> <NA> 75.90000153
## X1995 <NA> <NA> 75.84000015
## X1996 <NA> <NA> 75.59999847
## X1997 <NA> <NA> 75.2899971
## X1998 <NA> <NA> 75.08000183
## X1999 76.77725118 1.203637722 74.72999954
## X2000 <NA> <NA> 74.16999817
## X2001 <NA> <NA> 73.68000221
## X2002 <NA> <NA> 73.76999855
## X2003 <NA> <NA> 73.5
## X2004 <NA> <NA> 73.07999802
## X2005 <NA> <NA> 72.76999855
## X2006 <NA> <NA> 72.48999977
## X2007 <NA> <NA> 72.21000099
## X2008 89.76286564 1.27 71.60000038
## X2009 <NA> <NA> 70.96999931
## X2010 <NA> <NA> 70.20000076
## X2011 <NA> <NA> 69.40000153
## X2012 <NA> <NA> 68.33000183
## X2013 <NA> <NA> 67.22999763
## X2014 92.86377382 <NA> 65.88999939
## X2015 <NA> <NA> 64.99000168
## X2016 <NA> <NA> 64.82999802
## X2017 <NA> <NA> 63.81999969
## X2018 <NA> <NA> 63.01999855
## X2019 <NA> <NA> 62.20000172
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.EMP.1524.SP.NE.ZS SL.UEM.TOTL.MA.NE.ZS SL.UEM.1524.NE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> 2.029999971 2.980000019
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 74.26000214 1.590000033 2.180000067
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> <NA>
## X2015 <NA> 3.400000095 <NA>
## X2016 <NA> <NA> <NA>
## X2017 23.45000076 9.789999962 20.53000069
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.IND.EMPL.MA.ZS SL.EMP.TOTL.SP.NE.ZS SL.EMP.1524.SP.FE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 3.99000001 <NA> 77.31400299
## X1992 4.659999847 <NA> 77.53700256
## X1993 5.420000076 <NA> 77.78900146
## X1994 6.440000057 <NA> 78.02400208
## X1995 7.519999981 <NA> 78.37200165
## X1996 8.850000381 67.19999695 78.31099701
## X1997 10.43999958 <NA> 78.29299927
## X1998 12.18999958 <NA> 78.32099915
## X1999 14.34000015 84.25 78.36199951
## X2000 15.30000019 <NA> 77.87400055
## X2001 15.94999981 <NA> 77.41100311
## X2002 16.20999908 <NA> 76.95899963
## X2003 16.65999985 91.59999847 76.42099762
## X2004 17.03000069 <NA> 75.89299774
## X2005 17.28000069 <NA> 75.36799622
## X2006 17.51000023 <NA> 74.81199646
## X2007 17.70000076 <NA> 74.24199677
## X2008 18.17000008 82.22000122 73.63600159
## X2009 18.44000053 <NA> 73.22499847
## X2010 18.81999969 <NA> 72.85800171
## X2011 19.19000053 <NA> 72.68900299
## X2012 19.79999924 <NA> 72.72899628
## X2013 20.45000076 78.40000153 72.94799805
## X2014 21.20999908 79.80000305 73.08499908
## X2015 21.67000008 <NA> 73.22699738
## X2016 21.59000015 <NA> 73.87400055
## X2017 22.34000015 35.65999985 73.99099731
## X2018 22.87999916 <NA> 74.17900085
## X2019 23.30999947 <NA> 74.17900085
## X2020 <NA> <NA> 64.13600159
## X2021 <NA> <NA> 67.24099731
## SL.WAG.0714.FE.ZS SL.UEM.ADVN.ZS SL.MNF.0714.ZS SL.EMP.VULN.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> 84.54999924
## X1992 <NA> <NA> <NA> 84.49999809
## X1993 <NA> <NA> <NA> 84.45000076
## X1994 <NA> <NA> <NA> 84.29000092
## X1995 <NA> <NA> <NA> 84.21999741
## X1996 <NA> <NA> <NA> 84.07999802
## X1997 <NA> <NA> <NA> 83.91999817
## X1998 <NA> <NA> <NA> 83.81999969
## X1999 2.7 <NA> 1.38 83.63999939
## X2000 <NA> <NA> <NA> 83.33000183
## X2001 <NA> <NA> <NA> 83.02000046
## X2002 <NA> <NA> <NA> 83.02999878
## X2003 <NA> <NA> <NA> 82.84000015
## X2004 <NA> <NA> <NA> 82.56999969
## X2005 <NA> <NA> <NA> 82.34999847
## X2006 <NA> <NA> <NA> 82.13999939
## X2007 <NA> <NA> <NA> 81.93999863
## X2008 1.69 5.039999962 1.39 81.52999878
## X2009 <NA> <NA> <NA> 81.14999771
## X2010 <NA> <NA> <NA> 80.70999908
## X2011 <NA> <NA> <NA> 80.34000015
## X2012 <NA> <NA> <NA> 79.85000229
## X2013 <NA> <NA> <NA> 79.36999893
## X2014 <NA> <NA> <NA> 78.72000122
## X2015 <NA> <NA> <NA> 78.27999878
## X2016 <NA> <NA> <NA> 78.13000107
## X2017 <NA> 8.319999695 <NA> 77.5
## X2018 <NA> <NA> <NA> 76.93000031
## X2019 <NA> <NA> <NA> 76.31000137
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.EMP.1524.SP.ZS
## X1960 <NA>
## X1961 <NA>
## X1962 <NA>
## X1963 <NA>
## X1964 <NA>
## X1965 <NA>
## X1966 <NA>
## X1967 <NA>
## X1968 <NA>
## X1969 <NA>
## X1970 <NA>
## X1971 <NA>
## X1972 <NA>
## X1973 <NA>
## X1974 <NA>
## X1975 <NA>
## X1976 <NA>
## X1977 <NA>
## X1978 <NA>
## X1979 <NA>
## X1980 <NA>
## X1981 <NA>
## X1982 <NA>
## X1983 <NA>
## X1984 <NA>
## X1985 <NA>
## X1986 <NA>
## X1987 <NA>
## X1988 <NA>
## X1989 <NA>
## X1990 <NA>
## X1991 79.17900085
## X1992 79.26300049
## X1993 79.33399963
## X1994 79.35600281
## X1995 79.52400208
## X1996 79.40699768
## X1997 79.34600067
## X1998 79.32800293
## X1999 79.29199982
## X2000 78.78800201
## X2001 78.26300049
## X2002 77.75800323
## X2003 77.15200043
## X2004 76.5719986
## X2005 76.0039978
## X2006 75.43000031
## X2007 74.83799744
## X2008 74.20500183
## X2009 73.51300049
## X2010 72.80799866
## X2011 72.27100372
## X2012 71.84600067
## X2013 71.56199646
## X2014 71.19999695
## X2015 70.92199707
## X2016 71.19400024
## X2017 70.91300201
## X2018 70.87200165
## X2019 70.73799896
## X2020 61.81600189
## X2021 63.98600006dim(nepal_df)[2]## [1] 243nepal_df## YEAR TM.TAX.MRCH.WM.AR.ZS TM.TAX.MRCH.IP.ZS NY.TAX.NIND.KN
## X1960 1960 <NA> <NA> <NA>
## X1961 1961 <NA> <NA> <NA>
## X1962 1962 <NA> <NA> <NA>
## X1963 1963 <NA> <NA> <NA>
## X1964 1964 <NA> <NA> <NA>
## X1965 1965 <NA> <NA> 1075144628
## X1966 1966 <NA> <NA> 1406731222
## X1967 1967 <NA> <NA> 1185673493
## X1968 1968 <NA> <NA> 1446923644
## X1969 1969 <NA> <NA> 3024472246
## X1970 1970 <NA> <NA> -1115337050
## X1971 1971 <NA> <NA> 2481876086
## X1972 1972 <NA> <NA> 4049376524
## X1973 1973 <NA> <NA> 3225433883
## X1974 1974 <NA> <NA> 6511156281
## X1975 1975 <NA> <NA> 9405003569
## X1976 1976 <NA> <NA> 12570149882
## X1977 1977 <NA> <NA> 17604237553
## X1978 1978 <NA> <NA> 20950281283
## X1979 1979 <NA> <NA> 20859818526
## X1980 1980 <NA> <NA> 19654043511
## X1981 1981 <NA> <NA> 23180946411
## X1982 1982 <NA> <NA> 22186183085
## X1983 1983 <NA> <NA> 21432558471
## X1984 1984 <NA> <NA> 22547911341
## X1985 1985 <NA> <NA> 25833616503
## X1986 1986 <NA> <NA> 26400264605
## X1987 1987 <NA> <NA> 27218911058
## X1988 1988 <NA> <NA> 32705876319
## X1989 1989 <NA> <NA> 29809643007
## X1990 1990 <NA> <NA> 32075085848
## X1991 1991 <NA> <NA> 33779755004
## X1992 1992 <NA> <NA> 32457472104
## X1993 1993 15.96 56.73497 38102322604
## X1994 1994 <NA> <NA> 44412517305
## X1995 1995 <NA> <NA> 51546654806
## X1996 1996 <NA> <NA> 52631847606
## X1997 1997 <NA> <NA> 56691272306
## X1998 1998 20.09 50.15618 56158723806
## X1999 1999 14.01 20.58712 58700888407
## X2000 2000 16.84 18.55528 63282813207
## X2001 2001 <NA> <NA> 66320388207
## X2002 2002 15.45 18.44888 66006375707
## X2003 2003 15.86 19.35049 70331721108
## X2004 2004 15.49 21.48468 76378232809
## X2005 2005 15.4 21.65096 81629088709
## X2006 2006 13.13 19.45306 80394287609
## X2007 2007 13.29 45.03713 90633928910
## X2008 2008 421.5 22.3663 99768623911
## X2009 2009 12.65 45.41185 112000000000
## X2010 2010 13.05 45.86365 125000000000
## X2011 2011 12.45 48.90406 123000000000
## X2012 2012 12.45 22.64935 125000000000
## X2013 2013 15.04 40.18724 136000000000
## X2014 2014 10.55 48.15847 148000000000
## X2015 2015 12.31 48.41149 162000000000
## X2016 2016 12.35 48.11775 170000000000
## X2017 2017 <NA> <NA> 192000000000
## X2018 2018 12.36 19.94126 211000000000
## X2019 2019 14.22 19.22991 230000000000
## X2020 2020 11.6 20.06978 226000000000
## X2021 2021 <NA> <NA> 244000000000
## TM.TAX.TCOM.BC.ZS TM.TAX.MANF.BC.ZS GC.TAX.INTT.RV.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> 25.628645
## X1991 <NA> <NA> 24.20675944
## X1992 <NA> <NA> 22.94242197
## X1993 <NA> <NA> 21.80039788
## X1994 <NA> <NA> 24.76087264
## X1995 <NA> <NA> 25.9512628
## X1996 <NA> <NA> 23.31508942
## X1997 <NA> <NA> 23.55375415
## X1998 <NA> <NA> 23.11959537
## X1999 <NA> <NA> 24.37387964
## X2000 <NA> <NA> 23.49885907
## X2001 <NA> <NA> 23.72823683
## X2002 <NA> <NA> 23.04108043
## X2003 <NA> <NA> 21.89612399
## X2004 99.58 99.6 21.88843859
## X2005 99.58 99.6 19.04223091
## X2006 99.58 99.6 18.2445287
## X2007 99.57 99.61 16.34988095
## X2008 99.57 99.61 17.45746781
## X2009 99.57 99.61 16.14751576
## X2010 99.57 99.61 16.28623552
## X2011 99.57 99.61 14.46186363
## X2012 99.57 99.61 15.22137267
## X2013 99.55 99.64 17.20431016
## X2014 99.55 99.64 16.80061443
## X2015 99.55 99.64 16.63159732
## X2016 99.55 99.64 15.68282462
## X2017 <NA> <NA> 15.75943716
## X2018 99.54 99.63 15.7924584
## X2019 99.47 99.63 16.03055514
## X2020 99.47 99.63 15.81359711
## X2021 <NA> <NA> <NA>
## TM.TAX.MRCH.WM.FN.ZS TM.TAX.MRCH.SM.AR.ZS TM.TAX.TCOM.IP.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 15.96 20.87 26.03093
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 20.09 21.67 36
## X1999 14.01 14.36 18.19923
## X2000 16.84 14.41 25.73416
## X2001 <NA> <NA> <NA>
## X2002 15.45 14.66 22.92746
## X2003 15.86 14.87 23.14335
## X2004 15.49 14.82 24.2228
## X2005 15.49 14.72 23.89532
## X2006 13.26 13.11 18.42007
## X2007 13.46 13.05 44.80568
## X2008 421.5 15.07 29.09543
## X2009 12.9 12.77 45.96413
## X2010 13.35 12.98 48.29414
## X2011 12.8 13.15 51.06639
## X2012 12.87 12.85 24.60198
## X2013 15.65 11.82 43.44024
## X2014 11.31 12.66 48.11121
## X2015 13.08 12.63 47.64338
## X2016 13.07 12.65 47.42036
## X2017 <NA> <NA> <NA>
## X2018 13.42 12.79 28.52165
## X2019 15.43 20.2 26.6456
## X2020 12.66 12.1 29.7841
## X2021 <NA> <NA> <NA>
## TM.TAX.MANF.IP.ZS IC.TAX.GIFT.ZS GC.TAX.TOTL.GD.ZS GC.TAX.GSRV.VA.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> 6.996692968 7.375946529
## X1991 <NA> <NA> 6.620301936 6.911035363
## X1992 <NA> <NA> 6.483344072 6.968780364
## X1993 63.02853 <NA> 6.654637356 6.764000417
## X1994 <NA> <NA> 7.729134048 7.647323859
## X1995 <NA> <NA> 8.985513859 8.258410491
## X1996 <NA> <NA> 8.719914187 8.016256591
## X1997 <NA> <NA> 8.723659866 7.763240037
## X1998 56.96041 <NA> 8.639332547 7.365102977
## X1999 21.2132 <NA> 8.422505233 6.904100273
## X2000 16.97031 <NA> 8.735981111 7.031443074
## X2001 <NA> <NA> 8.802574747 6.371072049
## X2002 17.52297 <NA> 8.560583141 6.391161382
## X2003 18.56196 <NA> 8.651811853 6.722882993
## X2004 20.90894 <NA> 8.9749585 6.961713693
## X2005 21.16375 <NA> 9.179453421 7.607887563
## X2006 19.60244 <NA> 8.77975841 7.440960428
## X2007 45.07095 <NA> 9.772473404 8.221876521
## X2008 20.78373 <NA> 10.44008641 8.457497576
## X2009 45.29071 14.9 11.84403686 10.00975173
## X2010 45.33381 <NA> 13.39611544 12.40721413
## X2011 48.47382 <NA> 11.62467555 10.48746079
## X2012 22.2418 <NA> 12.04080455 10.473829
## X2013 39.67693 10.4 13.29788586 11.03921327
## X2014 48.17821 <NA> 13.99491049 11.66240116
## X2015 48.56504 <NA> 14.68630457 12.26907017
## X2016 48.25839 <NA> 16.14374976 13.050688
## X2017 <NA> <NA> 17.99936212 13.98934979
## X2018 18.46353 <NA> 19.08282606 16.40675864
## X2019 18.02381 <NA> 19.80906024 16.90920019
## X2020 18.52515 <NA> 15.77364973 10.51234967
## X2021 <NA> <NA> <NA> <NA>
## IC.TAX.LABR.CP.ZS GC.TAX.YPKG.CN TM.TAX.MRCH.BR.ZS NY.TAX.NIND.CN
## X1960 <NA> <NA> <NA> 54000000
## X1961 <NA> <NA> <NA> 56000000
## X1962 <NA> <NA> <NA> 61000000
## X1963 <NA> <NA> <NA> 64000000
## X1964 <NA> <NA> <NA> 70000000
## X1965 <NA> <NA> <NA> 78000000
## X1966 <NA> <NA> <NA> 178000000
## X1967 <NA> <NA> <NA> 91000000
## X1968 <NA> <NA> <NA> 108000000
## X1969 <NA> <NA> <NA> 161000000
## X1970 <NA> <NA> <NA> 55000000
## X1971 <NA> <NA> <NA> 163000000
## X1972 <NA> <NA> <NA> 239000000
## X1973 <NA> <NA> <NA> 204000000
## X1974 <NA> <NA> <NA> 383000000
## X1975 <NA> <NA> <NA> 635000000
## X1976 <NA> <NA> <NA> 805000000
## X1977 <NA> <NA> <NA> 1025000000
## X1978 <NA> <NA> <NA> 1306000000
## X1979 <NA> <NA> <NA> 1436000000
## X1980 <NA> <NA> <NA> 1464999900
## X1981 <NA> <NA> <NA> 1840999900
## X1982 <NA> <NA> <NA> 1951000100
## X1983 <NA> <NA> <NA> 2116999900
## X1984 <NA> <NA> <NA> 2385999900
## X1985 <NA> <NA> <NA> 2571000000
## X1986 <NA> <NA> <NA> 3007000000
## X1987 <NA> <NA> <NA> 3492000000
## X1988 <NA> <NA> <NA> 4692000000
## X1989 <NA> <NA> <NA> 4758000000
## X1990 <NA> 943000000 <NA> 5668000000
## X1991 <NA> 768000000 <NA> 6532000000
## X1992 <NA> 875000000 <NA> 7487000000
## X1993 <NA> 1174000000 <NA> 9702000000
## X1994 <NA> 1931000000 <NA> 12149000000
## X1995 <NA> 2751000000 <NA> 14261000000
## X1996 <NA> 3326000000 <NA> 15457000000
## X1997 <NA> 3954000000 <NA> 17952000000
## X1998 <NA> 4576000000 <NA> 18943000000
## X1999 <NA> 5774000000 <NA> 21456000000
## X2000 <NA> 6969000000 <NA> 23945000000
## X2001 <NA> 8517000000 <NA> 28090335300
## X2002 <NA> 8068000000 <NA> 29046000000
## X2003 <NA> 6879300000 <NA> 31906000000
## X2004 <NA> 8123300000 25.94 36050000000
## X2005 11.3 8790400000 25.94 40927000000
## X2006 11.3 9162391000 25.94 42966000000
## X2007 11.3 13723900000 26 51968000000
## X2008 11.3 16626800000 26 60401000000
## X2009 11.3 24051800000 26 78744000000
## X2010 11.3 33821327000 26 109000000000
## X2011 11.3 43121246000 26 123000000000
## X2012 11.3 51303230000 26 140000000000
## X2013 11.3 64186691000 26.26 172000000000
## X2014 11.3 75608249000 26.26 210000000000
## X2015 11.3 86168029438 26.26 237000000000
## X2016 11.3 114000000000 26.26 267000000000
## X2017 11.3 145000000000 <NA> 357000000000
## X2018 19.9 155000000000 26.33 445000000000
## X2019 26.2 188000000000 26.33 516000000000
## X2020 <NA> 213000000000 26.33 460000000000
## X2021 <NA> <NA> <NA> 615000000000
## TM.TAX.MRCH.SR.ZS IC.TAX.OTHR.CP.ZS GC.TAX.YPKG.ZS GC.TAX.IMPT.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> 13.03260224 36.96670675
## X1991 <NA> <NA> 9.370424597 36.18838458
## X1992 <NA> <NA> 8.837491163 32.76436724
## X1993 1.083305 <NA> 10.04191258 32.53784963
## X1994 <NA> <NA> 12.53733281 31.34657837
## X1995 <NA> <NA> 13.96872144 33.94942622
## X1996 <NA> <NA> 15.32365814 33.0661138
## X1997 <NA> <NA> 16.15790119 33.16987455
## X1998 8.21062 <NA> 17.60609442 31.84179139
## X1999 1.742424 <NA> 20.0430436 31.67870036
## X2000 2.08161 <NA> 21.02135618 31.19268822
## X2001 <NA> <NA> 21.9143188 30.94043484
## X2002 0.2909246 <NA> 20.51308128 29.7805802
## X2003 0.2907183 <NA> 16.15355896 31.3805419
## X2004 0.2972189 <NA> 16.86276545 31.04311544
## X2005 0.585547 1.3 16.24698733 27.51752155
## X2006 0.5581049 1.3 15.95485015 25.41960101
## X2007 0.365099 2.7 19.29500455 22.39482501
## X2008 0 2.7 19.52524444 24.09183681
## X2009 0.3645801 2.9 20.54808447 22.0116308
## X2010 0.3813659 2.8 21.16672162 20.99344106
## X2011 0.2817439 3 23.79042862 19.39028537
## X2012 0.3390478 3 24.2312975 19.32051265
## X2013 0.5153311 1 24.76195089 20.95862122
## X2014 0 1 24.19929253 20.52298279
## X2015 0.8449514 1.1 24.20838353 19.81470993
## X2016 0.887735 1.1 27.11610048 18.47785808
## X2017 <NA> 1.1 26.15179132 17.76787505
## X2018 0.2496329 1.1 23.47117513 18.44066251
## X2019 0.2159827 0.7 24.63362342 17.92326296
## X2020 0.2147219 <NA> 34.76302493 19.1697738
## X2021 <NA> <NA> <NA> <NA>
## GC.TAX.OTHR.CN GC.TAX.IMPT.CN TM.TAX.TCOM.WM.AR.ZS TM.TAX.MANF.WM.AR.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 98500000 2674800000 <NA> <NA>
## X1991 106000000 2966000000 <NA> <NA>
## X1992 87000000 3244000000 <NA> <NA>
## X1993 86000000 3804000000 9.24 22.1
## X1994 69000000 4828000000 <NA> <NA>
## X1995 69000000 6686000000 <NA> <NA>
## X1996 105000000 7177000000 <NA> <NA>
## X1997 269000000 8117000000 <NA> <NA>
## X1998 436000000 8276000000 17.09 30.35
## X1999 522000000 9126000000 12 16.41
## X2000 575000000 10341000000 13.83 20.87
## X2001 605000000 12025000000 <NA> <NA>
## X2002 839000000 11713000000 8.96 18.59
## X2003 1252600000 13364000000 9.39 18.99
## X2004 1391200000 14954400000 9.51 18.38
## X2005 1675900000 14888300000 9.35 18.28
## X2006 1771133000 14597713000 11.59 14.34
## X2007 2007900000 15928700000 11.62 14.56
## X2008 2451000000 20515500000 917.75 150.92
## X2009 3195600000 25764900000 11.18 13.79
## X2010 1063759000 33544450000 11.13 14.25
## X2011 1324195000 35145784000 11.08 13.7
## X2012 2908351000 40905969000 10.9 13.78
## X2013 3489525000 54327890000 13.75 15.52
## X2014 4485704000 64121990000 8.08 13.12
## X2015 5508835142 70529058946 11.35 13.17
## X2016 5990203529 77802641716 12.26 12.4
## X2017 27392715000 98410300000 <NA> <NA>
## X2018 10465303530 122000000000 11.14 12.77
## X2019 8442841000 137000000000 12.97 14.74
## X2020 6619530000 118000000000 11.45 11.21
## X2021 <NA> <NA> <NA> <NA>
## IC.TAX.PAYM GC.TAX.EXPT.CN IC.TAX.TOTL.CP.ZS IC.FRM.INFM.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> 32200000 <NA> <NA>
## X1991 <NA> 78000000 <NA> <NA>
## X1992 <NA> 115000000 <NA> <NA>
## X1993 <NA> 141000000 <NA> <NA>
## X1994 <NA> 427000000 <NA> <NA>
## X1995 <NA> 332000000 <NA> <NA>
## X1996 <NA> 150000000 <NA> <NA>
## X1997 <NA> 168000000 <NA> <NA>
## X1998 <NA> 217000000 <NA> <NA>
## X1999 <NA> 378000000 <NA> <NA>
## X2000 <NA> 432000000 <NA> <NA>
## X2001 <NA> 493000000 <NA> <NA>
## X2002 <NA> 917000000 <NA> <NA>
## X2003 <NA> 855600000 <NA> <NA>
## X2004 <NA> 527100000 <NA> <NA>
## X2005 34 697900000 32.5 <NA>
## X2006 34 625284000 32.5 <NA>
## X2007 34 698600000 32.8 <NA>
## X2008 34 445600000 34.1 <NA>
## X2009 34 793800000 32.5 <NA>
## X2010 34 915461000 31.7 <NA>
## X2011 34 292395000 31.5 <NA>
## X2012 34 861574000 31.5 <NA>
## X2013 34 439097000 29.9 <NA>
## X2014 34 1069880000 29.9 <NA>
## X2015 34 314849716.4 29.9 <NA>
## X2016 34 159554770.7 29.9 <NA>
## X2017 34 125130000 30 <NA>
## X2018 39 102360000 37 <NA>
## X2019 46 237634000 41.8 <NA>
## X2020 <NA> 112370000 <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## GC.TAX.GSRV.CN GC.TAX.INTT.CN TM.TAX.TCOM.WM.FN.ZS TM.TAX.MANF.WM.FN.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 3487200000 2707000000 <NA> <NA>
## X1991 4278000000 3044000000 <NA> <NA>
## X1992 5580000000 3359000000 <NA> <NA>
## X1993 6486000000 3945000000 9.25 22.1
## X1994 8147000000 5255000000 <NA> <NA>
## X1995 9856000000 7018000000 <NA> <NA>
## X1996 10947000000 7327000000 <NA> <NA>
## X1997 11938000000 8310000000 <NA> <NA>
## X1998 12477000000 8502000000 17.09 30.35
## X1999 12994000000 9518000000 12 16.41
## X2000 14795000000 10813000000 13.83 20.87
## X2001 17191000000 12552000000 <NA> <NA>
## X2002 17765000000 12659000000 8.96 18.59
## X2003 20218600000 14236400000 9.39 18.99
## X2004 23103700000 15554800000 9.51 18.38
## X2005 27937000000 15701500000 9.39 18.41
## X2006 31149795000 15343676000 11.65 14.5
## X2007 38687300000 16707600000 11.7 14.78
## X2008 45015200000 21062400000 917.75 150.92
## X2009 62995100000 26808800000 11.3 14.11
## X2010 89681363000 35218933000 11.3 14.62
## X2011 100000000000 36575544000 11.29 14.15
## X2012 114000000000 43390806000 11.17 14.31
## X2013 135000000000 56931815000 14.25 16.17
## X2014 164000000000 67980556000 8.49 14.11
## X2015 189000000000 74844459070 11.93 14.09
## X2016 219000000000 82184049221 12.89 13.18
## X2017 279000000000 103000000000 <NA> <NA>
## X2018 367000000000 127000000000 12.2 13.82
## X2019 424000000000 143000000000 14.06 15.99
## X2020 270000000000 124000000000 12.49 12.29
## X2021 <NA> <NA> <NA> <NA>
## TM.TAX.MRCH.SM.FN.ZS TM.TAX.TCOM.SM.AR.ZS TM.TAX.MANF.SM.AR.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 16.57 11.34 22.54
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 16.2 16.64 23.23
## X1999 12.43 11.95 14.87
## X2000 13.29 15.94 14.12
## X2001 <NA> <NA> <NA>
## X2002 13.62 14.18 14.71
## X2003 13.72 14.19 14.95
## X2004 13.79 14.35 14.86
## X2005 13.76 14.08 14.8
## X2006 12.51 14.99 12.74
## X2007 12.56 14.88 12.69
## X2008 15.41 22.36 13.78
## X2009 12.43 16.02 12.18
## X2010 12.33 16.58 12.29
## X2011 12.35 17.94 12.38
## X2012 12.2 17.29 12.13
## X2013 12.21 16 11.21
## X2014 12.23 16.22 12.12
## X2015 12.25 16.86 12.07
## X2016 12.14 18.4 11.89
## X2017 <NA> <NA> <NA>
## X2018 13.19 23.78 11.11
## X2019 17.27 73.04 12.57
## X2020 12.6 18.7 11.17
## X2021 <NA> <NA> <NA>
## IC.FRM.METG.ZS GC.TAX.GSRV.RV.ZS TM.TAX.MRCH.BC.ZS NY.TAX.NIND.CD
## X1960 <NA> <NA> <NA> 7087544.297
## X1961 <NA> <NA> <NA> 7350045.938
## X1962 <NA> <NA> <NA> 8006300.039
## X1963 <NA> <NA> <NA> 6890092.263
## X1964 <NA> <NA> <NA> 6913580.247
## X1965 <NA> <NA> <NA> 10237563.98
## X1966 <NA> <NA> <NA> 23362646.02
## X1967 <NA> <NA> <NA> 11943824.65
## X1968 <NA> <NA> <NA> 11627030.69
## X1969 <NA> <NA> <NA> 15901234.57
## X1970 <NA> <NA> <NA> 5432098.765
## X1971 <NA> <NA> <NA> 16098765.43
## X1972 <NA> <NA> <NA> 23604938.27
## X1973 <NA> <NA> <NA> 19892541.27
## X1974 <NA> <NA> <NA> 36420692.28
## X1975 <NA> <NA> <NA> 60384176.49
## X1976 <NA> <NA> <NA> 67235734.33
## X1977 <NA> <NA> <NA> 82000000
## X1978 <NA> <NA> <NA> 106174545.8
## X1979 <NA> <NA> <NA> 119666666.7
## X1980 <NA> <NA> <NA> 122083325
## X1981 <NA> <NA> <NA> 153416658.3
## X1982 <NA> <NA> <NA> 150815928.8
## X1983 <NA> <NA> <NA> 153455829.8
## X1984 <NA> <NA> <NA> 156353407.2
## X1985 <NA> <NA> <NA> 144588476.8
## X1986 <NA> <NA> <NA> 153835135
## X1987 <NA> <NA> <NA> 161698856.7
## X1988 <NA> <NA> <NA> 212740875.1
## X1989 <NA> <NA> <NA> 187893171.8
## X1990 <NA> 33.01522381 <NA> 198818593.8
## X1991 <NA> 34.01988072 <NA> 206905289.8
## X1992 <NA> 38.11215081 <NA> 166748329.6
## X1993 <NA> 35.84217507 <NA> 202125000
## X1994 <NA> 38.38759836 <NA> 247938775.5
## X1995 <NA> 36.44566061 <NA> 286365461.8
## X1996 <NA> 34.83421371 <NA> 280781108.1
## X1997 <NA> 33.83690938 <NA> 314781693.8
## X1998 <NA> 33.92886278 <NA> 305778853.9
## X1999 <NA> 33.27528809 <NA> 315761589.4
## X2000 <NA> 32.15255895 <NA> 346677283.9
## X2001 <NA> 32.49777879 <NA> 382181432.7
## X2002 <NA> 32.3346863 <NA> 382536546.8
## X2003 <NA> 31.09697483 <NA> 410335949.2
## X2004 <NA> 32.51111674 99.35 488543949.3
## X2005 <NA> 33.88101804 99.35 564540713.2
## X2006 <NA> 37.03892918 99.35 594070905.2
## X2007 <NA> 37.8589833 99.37 737265472.6
## X2008 <NA> 37.31062961 99.37 929013185.9
## X2009 63.4 37.94330107 99.37 1024265562
## X2010 <NA> 41.47121093 99.37 1467183643
## X2011 <NA> 39.63207921 99.37 1703933395
## X2012 <NA> 40.03297494 99.37 1727421573
## X2013 65.6 40.67709026 99.42 1955546313
## X2014 <NA> 40.62102422 99.42 2138934650
## X2015 <NA> 42.09241158 99.42 2382471163
## X2016 <NA> 41.73543924 99.42 2508487301
## X2017 <NA> 42.59794073 <NA> 3357251910
## X2018 <NA> 45.7311523 99.41 4262858915
## X2019 <NA> 47.46473999 99.4 4575218471
## X2020 <NA> 34.45891513 99.4 3956454691
## X2021 <NA> <NA> <NA> 5216026828
## TM.TAX.TCOM.SM.FN.ZS TM.TAX.MANF.SM.FN.ZS IC.TAX.METG GC.TAX.YPKG.RV.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> 8.927895175
## X1991 <NA> <NA> <NA> 6.107355865
## X1992 <NA> <NA> <NA> 5.976367734
## X1993 8.78 18.68 <NA> 6.487621574
## X1994 <NA> <NA> <NA> 9.098619422
## X1995 <NA> <NA> <NA> 10.17268794
## X1996 <NA> <NA> <NA> 10.5835932
## X1997 <NA> <NA> <NA> 11.20716533
## X1998 9.14 18.12 <NA> 12.44357426
## X1999 8.83 13.33 <NA> 14.78617157
## X2000 11.58 13.64 <NA> 15.14506139
## X2001 <NA> <NA> <NA> 16.10049339
## X2002 11.98 13.9 <NA> 14.68484374
## X2003 12.06 14.01 <NA> 10.58062472
## X2004 12.11 14.07 <NA> 11.43096364
## X2005 11.91 14.09 <NA> 10.66069016
## X2006 11.81 12.5 <NA> 10.89461909
## X2007 11.86 12.57 <NA> 13.43006364
## X2008 19.2 14.09 <NA> 13.78104232
## X2009 12.2 12.3 2 14.48691547
## X2010 12.02 12.22 <NA> 15.63994278
## X2011 12.27 12.17 <NA> 17.05001515
## X2012 12.08 12.05 <NA> 17.99702875
## X2013 11.8 12.19 2.7 19.39667197
## X2014 11.75 12.23 <NA> 18.68571124
## X2015 11.86 12.23 <NA> 19.14786994
## X2016 12.15 11.97 <NA> 21.78746495
## X2017 <NA> <NA> <NA> 22.14941899
## X2018 15.82 12.12 <NA> 19.26866565
## X2019 27.66 13.55 <NA> 21.0622036
## X2020 13.29 12.19 <NA> 27.23947011
## X2021 <NA> <NA> <NA> <NA>
## IC.TAX.DURS GC.TAX.TOTL.CN TM.TAX.TCOM.BR.ZS TM.TAX.MANF.BR.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> 7235700000 <NA> <NA>
## X1991 <NA> 8196000000 <NA> <NA>
## X1992 <NA> 9901000000 <NA> <NA>
## X1993 <NA> 11691000000 <NA> <NA>
## X1994 <NA> 15402000000 <NA> <NA>
## X1995 <NA> 19694000000 <NA> <NA>
## X1996 <NA> 21705000000 <NA> <NA>
## X1997 <NA> 24471000000 <NA> <NA>
## X1998 <NA> 25991000000 <NA> <NA>
## X1999 <NA> 28808000000 <NA> <NA>
## X2000 <NA> 33152000000 <NA> <NA>
## X2001 <NA> 38865000000 <NA> <NA>
## X2002 <NA> 39331000000 <NA> <NA>
## X2003 <NA> 42586900000 <NA> <NA>
## X2004 <NA> 48173000000 32.41 24.07
## X2005 408 54104800000 32.41 24.07
## X2006 408 57426995000 32.41 24.07
## X2007 408 71126700000 32.32 24.14
## X2008 408 85155400000 32.32 24.14
## X2009 338 117000000000 32.32 24.14
## X2010 338 160000000000 32.32 24.14
## X2011 326 181000000000 32.32 24.14
## X2012 326 212000000000 32.32 24.14
## X2013 334 259000000000 32.62 24.12
## X2014 334 312000000000 32.62 24.12
## X2015 334 356000000000 32.62 24.12
## X2016 339 421000000000 32.62 24.12
## X2017 339 554000000000 <NA> <NA>
## X2018 353 659000000000 32.88 24.12
## X2019 377 764000000000 32.88 24.12
## X2020 <NA> 613000000000 32.88 24.12
## X2021 <NA> <NA> <NA> <NA>
## TM.TAX.TCOM.SR.ZS TM.TAX.MANF.SR.ZS IC.TAX.PRFT.CP.ZS GC.TAX.EXPT.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> 0.445015686
## X1991 <NA> <NA> <NA> 0.951683748
## X1992 <NA> <NA> <NA> 1.161498839
## X1993 6.546392 0.0202306 <NA> 1.20605594
## X1994 <NA> <NA> <NA> 2.772367225
## X1995 <NA> <NA> <NA> 1.685792627
## X1996 <NA> <NA> <NA> 0.691085003
## X1997 <NA> <NA> <NA> 0.686526909
## X1998 25.5 1.021711 <NA> 0.83490439
## X1999 8.764368 0.0118245 <NA> 1.312135518
## X2000 11.59196 0.0168691 <NA> 1.303088803
## X2001 <NA> <NA> <NA> 1.268493503
## X2002 1.727116 0.0085063 <NA> 2.331494241
## X2003 1.727116 0.0084991 <NA> 2.009068516
## X2004 1.727116 0.0169578 <NA> 1.094181388
## X2005 3.174603 0.0686577 19.9 1.289904038
## X2006 3.369524 0 19.9 1.088832874
## X2007 2.204783 0 18.8 0.982190935
## X2008 0 0 20.1 0.523278618
## X2009 2.204783 0 18.4 0.67816419
## X2010 2.153031 0 17.6 0.572931634
## X2011 1.772304 0 17.2 0.161317286
## X2012 1.862421 0.0454726 17.2 0.406934532
## X2013 3.498542 0 17.6 0.169394904
## X2014 0 0 17.6 0.342427439
## X2015 5.678592 0 17.6 0.088455112
## X2016 5.920496 0 17.6 0.037893706
## X2017 <NA> <NA> 17.6 0.022592088
## X2018 1.49328 0 16 0.015521019
## X2019 1.369142 0 15 0.031086925
## X2020 1.472031 0 <NA> 0.018319488
## X2021 <NA> <NA> <NA> <NA>
## GC.TAX.OTHR.RV.ZS TG.VAL.TOTL.GD.ZS NY.GDP.MKTP.KD NY.GDP.COAL.RT.ZS
## X1960 <NA> 10.81964913 3312006963 <NA>
## X1961 <NA> 4.887589561 3375208865 <NA>
## X1962 <NA> 5.225651458 3439686156 <NA>
## X1963 <NA> 23.54371534 3504872049 <NA>
## X1964 <NA> 28.42175934 3768874732 <NA>
## X1965 <NA> 22.44082511 3723528046 <NA>
## X1966 <NA> 13.89483242 3985688368 <NA>
## X1967 <NA> 13.18330455 3923053375 <NA>
## X1968 <NA> 13.59700924 3949552951 <NA>
## X1969 <NA> 17.62523504 4125838151 <NA>
## X1970 <NA> 13.51077783 4232119417 <NA>
## X1971 <NA> 15.06628932 4181529368 0
## X1972 <NA> 13.96349642 4311901106 0
## X1973 <NA> 17.17927206 4291353333 0
## X1974 <NA> 16.42098752 4563150075 0
## X1975 <NA> 17.26119145 4629611019 0
## X1976 <NA> 17.96539507 4833246135 0
## X1977 <NA> 18.01215278 4979063887 0
## X1978 <NA> 19.4494012 5198428566 0
## X1979 <NA> 19.60837263 5321572986 0
## X1980 <NA> 21.68643834 5198144730 0
## X1981 <NA> 22.41183596 5631772619 0
## X1982 <NA> 20.16339571 5844618406 0
## X1983 <NA> 22.76094046 5670600395 0
## X1984 <NA> 21.07540845 6219578592 0
## X1985 <NA> 23.39771498 6601765803 0
## X1986 <NA> 21.11699411 6903179359 0
## X1987 <NA> 24.41452994 7020230929 0
## X1988 <NA> 24.92106598 7560564675 0
## X1989 <NA> 21.0199161 7887910507 0
## X1990 0.932553208 24.14844744 8253518026 0
## X1991 0.842942346 25.34759816 8779114468 0
## X1992 0.594221706 33.66447434 9139620604 0
## X1993 0.475243148 34.8083469 9491482290 0
## X1994 0.325118975 37.3022803 10271302732 0
## X1995 0.255149207 38.12679366 10627557926 0
## X1996 0.334118246 39.43311518 11193824413 0
## X1997 0.762450044 42.67394737 11758957236 0
## X1998 1.185620275 35.41823863 12113653185 0
## X1999 1.336747759 40.20945164 12648177008 0
## X2000 1.249592524 43.26339436 13432363981 0.003580902
## X2001 1.143688917 36.79007408 14077102964 0.003055141
## X2002 1.527092699 32.8382215 14094015643 0.002557438
## X2003 1.926546382 38.16460418 14650029882 0.002328474
## X2004 1.957671958 37.25629615 15336032658 0.004864822
## X2005 2.032472998 38.69495881 15869600999 0.004762176
## X2006 2.105980786 36.82115004 16403551941 0.007805739
## X2007 1.96490974 38.64175484 16963169002 0.006617356
## X2008 2.031499431 36.10077051 17998709258 0.012369547
## X2009 1.924778481 40.50568563 18814604917 0.006176697
## X2010 0.491912393 37.42503643 19720794305 0.007851147
## X2011 0.523582848 31.02365193 20395606013 0.007641003
## X2012 1.020241348 32.1474716 21348105727 0.00575471
## X2013 1.054504769 33.61578268 22100659154 0.004958637
## X2014 1.108590276 37.30049311 23429236486 0.004321669
## X2015 1.22414844 30.26584262 24360795411 0.003273018
## X2016 1.143084483 39.27157658 24466305357 0.003656839
## X2017 4.188812407 38.26852548 26662713937 0.004472639
## X2018 1.302742504 40.76526117 28695046274 0.004915582
## X2019 0.944350687 38.92799874 30605291409 0.002196459
## X2020 0.84561214 32.03955724 29880062111 0.001886447
## X2021 <NA> 56.77228995 31149050463 <NA>
## NY.GDP.PCAP.PP.KD NY.GDP.MINR.RT.ZS NY.GDP.MKTP.KN NY.GDP.DEFL.KD.ZG.AD
## X1960 <NA> <NA> 253000000000 <NA>
## X1961 <NA> <NA> 258000000000 <NA>
## X1962 <NA> <NA> 263000000000 <NA>
## X1963 <NA> <NA> 268000000000 <NA>
## X1964 <NA> <NA> 288000000000 <NA>
## X1965 <NA> <NA> 285000000000 <NA>
## X1966 <NA> <NA> 305000000000 <NA>
## X1967 <NA> <NA> 300000000000 <NA>
## X1968 <NA> <NA> 302000000000 <NA>
## X1969 <NA> <NA> 315000000000 <NA>
## X1970 <NA> 0 324000000000 <NA>
## X1971 <NA> 0 320000000000 <NA>
## X1972 <NA> 0 330000000000 <NA>
## X1973 <NA> 0 328000000000 <NA>
## X1974 <NA> 0.094538945 349000000000 <NA>
## X1975 <NA> 0 354000000000 <NA>
## X1976 <NA> 0 369000000000 <NA>
## X1977 <NA> 1.034875601 381000000000 <NA>
## X1978 <NA> 1.081464371 397000000000 <NA>
## X1979 <NA> 1.580340084 407000000000 <NA>
## X1980 <NA> 1.445373485 397000000000 <NA>
## X1981 <NA> 0.365879238 431000000000 <NA>
## X1982 <NA> 0.179660197 447000000000 <NA>
## X1983 <NA> 0.627780478 434000000000 <NA>
## X1984 <NA> 0.192764463 475000000000 <NA>
## X1985 <NA> 0 505000000000 <NA>
## X1986 <NA> 0 528000000000 <NA>
## X1987 <NA> 0 537000000000 <NA>
## X1988 <NA> 0 578000000000 <NA>
## X1989 <NA> 0 603000000000 <NA>
## X1990 1613.071851 0 631000000000 10.71588515
## X1991 1671.583428 0 671000000000 12.5446382
## X1992 1693.721027 0 699000000000 18.48909464
## X1993 1711.571209 0 726000000000 10.77490927
## X1994 1803.696883 0 785000000000 4.81598619
## X1995 1819.966418 0 812000000000 6.300861554
## X1996 1872.311784 0 856000000000 7.82303556
## X1997 1923.780052 0 899000000000 7.279092987
## X1998 1941.145868 0 926000000000 4.107850671
## X1999 1987.825045 0 967000000000 8.887047432
## X2000 2073.054338 0 1030000000000 4.472433715
## X2001 2136.328983 0 1080000000000 3.412486587
## X2002 2106.152373 0 1080000000000 3.934857896
## X2003 2158.231649 0 1120000000000 3.070304967
## X2004 2229.210718 0 1170000000000 4.166427154
## X2005 2277.63361 0 1210000000000 6.119390412
## X2006 2325.168216 0 1250000000000 7.360039272
## X2007 2375.70189 0 1300000000000 7.603288946
## X2008 2493.88453 0 1380000000000 5.61985452
## X2009 2585.896329 0 1440000000000 15.90833021
## X2010 2697.432423 0 1510000000000 15.14693244
## X2011 2786.843939 0 1560000000000 26.39730667
## X2012 2922.619609 0 1630000000000 7.741150029
## X2013 3033.780787 0 1690000000000 7.082650999
## X2014 3217.44851 0 1790000000000 8.035366199
## X2015 3331.87177 0 1860000000000 4.409045432
## X2016 3315.814414 0.000142212 1870000000000 7.150334788
## X2017 3565.197807 0 2040000000000 8.261412551
## X2018 3773.715918 0 2190000000000 4.355858465
## X2019 3952.760349 0 2340000000000 4.691155935
## X2020 3789.150372 0 2280000000000 3.21740233
## X2021 3878.44442 <NA> 2380000000000 5.511971478
## NV.SRV.TOTL.ZS ER.GDP.FWTL.M3.KD BX.TRF.PWKR.DT.GD.ZS SL.GDP.PCAP.EM.KD
## X1960 98.60572937 <NA> <NA> <NA>
## X1961 98.61830739 <NA> <NA> <NA>
## X1962 98.60539098 <NA> <NA> <NA>
## X1963 98.6135182 <NA> <NA> <NA>
## X1964 98.60640656 <NA> <NA> <NA>
## X1965 23.17029674 <NA> <NA> <NA>
## X1966 19.69894718 <NA> <NA> <NA>
## X1967 22.52533402 <NA> <NA> <NA>
## X1968 21.02328535 <NA> <NA> <NA>
## X1969 21.20225324 <NA> <NA> <NA>
## X1970 21.04242587 <NA> <NA> <NA>
## X1971 22.19736195 <NA> <NA> <NA>
## X1972 20.75417607 <NA> <NA> <NA>
## X1973 23.03140142 <NA> <NA> <NA>
## X1974 19.8860064 <NA> <NA> <NA>
## X1975 19.2987746 <NA> <NA> <NA>
## X1976 20.84051926 <NA> <NA> <NA>
## X1977 23.40856424 <NA> <NA> <NA>
## X1978 23.36813558 <NA> <NA> <NA>
## X1979 22.16970505 <NA> <NA> <NA>
## X1980 24.65847007 <NA> <NA> <NA>
## X1981 24.93133757 <NA> <NA> <NA>
## X1982 24.49012584 <NA> <NA> <NA>
## X1983 25.21326955 <NA> <NA> <NA>
## X1984 24.81086271 <NA> <NA> <NA>
## X1985 31.35062036 <NA> <NA> <NA>
## X1986 30.90768789 <NA> <NA> <NA>
## X1987 31.62031818 <NA> <NA> <NA>
## X1988 30.9247653 <NA> <NA> <NA>
## X1989 31.32554414 <NA> <NA> <NA>
## X1990 30.36957531 <NA> <NA> <NA>
## X1991 33.55304077 <NA> <NA> 3438.537947
## X1992 33.03381999 <NA> <NA> 3473.403304
## X1993 35.06107626 <NA> 1.497936602 3498.156199
## X1994 33.06987434 <NA> 1.23238961 3677.60167
## X1995 33.17805407 <NA> 1.291100177 3688.247067
## X1996 33.36949054 <NA> 0.976652461 3794.3203
## X1997 33.41912853 <NA> 1.005512415 3895.0982
## X1998 35.23442304 <NA> 1.390060907 3922.834548
## X1999 34.58437124 <NA> 1.658099124 4010.796896
## X2000 34.71071549 <NA> 2.029360644 4180.486799
## X2001 44.45294585 <NA> 2.446875396 4299.002233
## X2002 43.55295434 1.481204951 11.21301963 4221.191302
## X2003 44.12663973 <NA> 12.18032388 4315.958411
## X2004 45.17195188 <NA> 11.30898998 4442.469201
## X2005 45.83415336 <NA> 14.90510198 4519.497454
## X2006 47.93390451 <NA> 16.06896468 4578.355778
## X2007 48.77697585 1.790103371 16.79181348 4647.737679
## X2008 49.20432338 <NA> 21.73810397 4853.434008
## X2009 48.61377101 <NA> 23.20762544 5002.507378
## X2010 46.39883791 <NA> 21.64698527 5184.357147
## X2011 47.90291444 <NA> 19.54630987 5330.549688
## X2012 47.98745259 2.247855211 22.08212082 5557.784694
## X2013 48.75521701 <NA> 25.19470031 5723.105479
## X2014 49.56401975 <NA> 25.90512496 6031.347043
## X2015 50.53989698 <NA> 27.62609167 6196.548655
## X2016 51.59804409 <NA> 26.96057769 6053.330917
## X2017 51.84978229 2.807458481 23.91354411 6442.269479
## X2018 51.59044347 <NA> 25.02641995 6719.346198
## X2019 52.02271626 <NA> 24.11636286 6947.961423
## X2020 53.93884674 <NA> 24.25023797 7221.739239
## X2021 52.58395192 <NA> <NA> 7132.779194
## SE.XPD.TERT.PC.ZS NY.GDS.TOTL.ZS NY.GDP.MKTP.KD.ZG NY.GDP.DEFL.KD.ZG
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> 1.908265972 2.68799999
## X1962 <NA> <NA> 1.910320031 5.897091004
## X1963 <NA> <NA> 1.895111645 3.569925064
## X1964 <NA> <NA> 7.532448553 1.194719681
## X1965 <NA> <NA> -1.203189018 12.88519396
## X1966 <NA> <NA> 7.040643145 15.21881351
## X1967 <NA> <NA> -1.5714975 -5.667665035
## X1968 <NA> <NA> 0.675483463 11.0658262
## X1969 <NA> <NA> 4.463421603 6.563831079
## X1970 <NA> <NA> 2.575992127 7.048330837
## X1971 <NA> <NA> -1.195383302 3.172176141
## X1972 <NA> <NA> 3.117800364 12.50268334
## X1973 <NA> <NA> -0.476536268 -3.397305595
## X1974 <NA> <NA> 6.333590372 20.82566953
## X1975 <NA> 10.02956925 1.456470709 27.52274698
## X1976 <NA> 11.72818335 4.398536178 0.54404234
## X1977 <NA> 13.49537037 3.016973442 -3.564821564
## X1978 <NA> 13.37928235 4.405741389 9.371206914
## X1979 <NA> 11.63628084 2.368877795 9.978363426
## X1980 <NA> 11.09588545 -2.319394205 7.609546552
## X1981 <NA> 10.89098005 8.341974135 7.937356408
## X1982 <NA> 9.932877822 3.779374654 9.347409674
## X1983 <NA> 8.548577014 -2.977405857 12.2886911
## X1984 <NA> 9.865448055 9.681130016 6.377949973
## X1985 <NA> 14.08577598 6.144905237 11.42183276
## X1986 <NA> 11.62371689 4.565650546 14.39257008
## X1987 <NA> 12.09543718 1.695618266 12.69680187
## X1988 <NA> 11.35744935 7.696808711 11.8153102
## X1989 <NA> 10.29118731 4.329647933 11.25837291
## X1990 <NA> 6.991686006 4.635036347 10.71588515
## X1991 <NA> 8.559918741 6.368150405 12.5446382
## X1992 <NA> 10.9287009 4.106406605 18.48909464
## X1993 <NA> 12.24724218 3.849850027 10.77490927
## X1994 <NA> 9.959352041 8.216002705 4.81598619
## X1995 <NA> 15.65529768 3.468451889 6.300861554
## X1996 <NA> 14.38246926 5.328284176 7.82303556
## X1997 <NA> 13.9608503 5.048612536 7.279092987
## X1998 <NA> 13.77387027 3.016389481 4.107850671
## X1999 <NA> 13.61347928 4.412573275 8.887047432
## X2000 139.46298 15.17228476 6.199999985 4.472433715
## X2001 102.63701 11.66462728 4.799892146 11.01714829
## X2002 77.43354 9.489666248 0.120143179 3.934857896
## X2003 63.42802 8.561179812 3.945037761 3.070304967
## X2004 <NA> 11.74924279 4.682603249 4.166427154
## X2005 <NA> 11.55565976 3.479181044 6.119390412
## X2006 <NA> 8.98307832 3.364614787 7.360039272
## X2007 <NA> 9.817208499 3.411560275 7.603288946
## X2008 47.40814 9.831096072 6.104639147 5.61985452
## X2009 51.51713 9.433665671 4.533078721 15.90833021
## X2010 33.02038 11.45140099 4.816414651 15.14693244
## X2011 31.69426 7.125826025 3.421828238 26.39730667
## X2012 <NA> 9.120633745 4.670122149 7.741150029
## X2013 22.29423 8.178966875 3.525153174 7.082650999
## X2014 26.74935 9.364717232 6.011482841 8.035366199
## X2015 24.16269 7.625269885 3.976053274 4.409045432
## X2016 <NA> 3.642858923 0.433113718 7.150334788
## X2017 <NA> 12.98475515 8.977279354 8.261412551
## X2018 <NA> 14.79161211 7.622376108 4.355858465
## X2019 <NA> 15.30340729 6.657055428 4.691155935
## X2020 <NA> 5.719357472 -2.369620627 3.21740233
## X2021 <NA> 7.708062342 4.246940141 5.511971478
## SH.XPD.CHEX.GD.ZS SE.XPD.PRIM.PC.ZS NY.GDP.PETR.RT.ZS NY.GDP.MKTP.CD
## X1960 <NA> <NA> <NA> 508334414
## X1961 <NA> <NA> <NA> 531959561.6
## X1962 <NA> <NA> <NA> 574091101.2
## X1963 <NA> <NA> <NA> 496947904.4
## X1964 <NA> <NA> <NA> 496098775.3
## X1965 <NA> <NA> <NA> 735267082.3
## X1966 <NA> <NA> <NA> 906811943.8
## X1967 <NA> <NA> <NA> 841974025.5
## X1968 <NA> <NA> <NA> 772228643.4
## X1969 <NA> <NA> <NA> 788641965.4
## X1970 <NA> <NA> <NA> 865975308.6
## X1971 <NA> <NA> 0 882765471.6
## X1972 <NA> <NA> 0 1024098805
## X1973 <NA> <NA> 0 972101725
## X1974 <NA> <NA> 0 1217953547
## X1975 <NA> <NA> 0 1575789254
## X1976 <NA> <NA> 0 1452792989
## X1977 <NA> <NA> 0 1382400000
## X1978 <NA> <NA> 0 1604162497
## X1979 <NA> <NA> 0 1851250008
## X1980 <NA> <NA> 0 1945916583
## X1981 <NA> <NA> 0 2275583317
## X1982 <NA> <NA> 0 2395429852
## X1983 <NA> <NA> 0 2447174803
## X1984 <NA> <NA> 0 2581207388
## X1985 <NA> <NA> 0 2619913956
## X1986 <NA> <NA> 0 2850784523
## X1987 <NA> <NA> 0 2957255380
## X1988 <NA> <NA> 0 3487009748
## X1989 <NA> <NA> 0 3525228153
## X1990 <NA> <NA> 0 3627562403
## X1991 <NA> <NA> 0 3921476085
## X1992 <NA> <NA> 0 3401211581
## X1993 <NA> <NA> 0 3660041667
## X1994 <NA> <NA> 0 4066775510
## X1995 <NA> <NA> 0 4401104418
## X1996 <NA> <NA> 0 4521580381
## X1997 <NA> <NA> 0 4918691917
## X1998 <NA> <NA> 0 4856255044
## X1999 <NA> 8.98008 0 5033642384
## X2000 3.12598538 10.18187 0 5494252208
## X2001 3.80386233 13.56601 0 6007055042
## X2002 3.92991233 11.79508 0 6050875807
## X2003 3.84753466 11.06862 0 6330473097
## X2004 4.03734398 <NA> 0 7273938315
## X2005 3.94221067 <NA> 0 8130258041
## X2006 3.5361805 <NA> 0 9043715356
## X2007 3.66484332 <NA> 0 10325618017
## X2008 3.80911303 14.17214 0 12545438605
## X2009 3.89314747 16.37681 0 12854985464
## X2010 4.35166264 11.09709 0 16002656434
## X2011 4.44234991 11.42569 0 21573862467
## X2012 4.49078512 11.53445 0 21703106502
## X2013 4.63011789 11.22594 0 22162208956
## X2014 5.07548285 13.05722 0 22731602970
## X2015 5.46615076 12.35956 0 24360795411
## X2016 5.42379808 <NA> 0 24524098185
## X2017 4.72173262 <NA> 0 28971589213
## X2018 4.5284524 <NA> 0 33111525872
## X2019 4.44515085 <NA> 0 34186190996
## X2020 <NA> <NA> 0 33433670512
## X2021 <NA> <NA> <NA> 36288830373
## NE.DAB.TOTL.ZS SH.XPD.GHED.GD.ZS SE.XPD.TOTL.GD.ZS PA.NUS.PPPC.RF
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 104.4656328 <NA> <NA> <NA>
## X1976 103.4034713 <NA> <NA> <NA>
## X1977 102.5289346 <NA> <NA> <NA>
## X1978 104.9006688 <NA> <NA> <NA>
## X1979 104.1818595 <NA> <NA> <NA>
## X1980 107.1902705 <NA> <NA> <NA>
## X1981 106.716227 <NA> <NA> <NA>
## X1982 107.2156959 <NA> <NA> <NA>
## X1983 111.0841235 <NA> <NA> <NA>
## X1984 108.7966496 <NA> <NA> <NA>
## X1985 108.4703568 <NA> <NA> <NA>
## X1986 108.6404422 <NA> <NA> <NA>
## X1987 109.093339 <NA> <NA> <NA>
## X1988 110.9346995 <NA> <NA> <NA>
## X1989 111.2157188 <NA> <NA> <NA>
## X1990 111.1341359 <NA> <NA> 0.240461492
## X1991 111.6935526 <NA> <NA> 0.236387594
## X1992 109.7759609 <NA> <NA> 0.192550748
## X1993 110.323653 <NA> <NA> 0.194902573
## X1994 112.4441969 <NA> <NA> 0.19593583
## X1995 109.5442004 <NA> <NA> 0.200726551
## X1996 112.8226185 <NA> <NA> 0.192268671
## X1997 111.3798647 <NA> <NA> 0.195727703
## X1998 111.0654988 <NA> 2.892879963 0.185497054
## X1999 106.8700371 <NA> 2.89331007 0.181588186
## X2000 109.1425816 0.48485136 2.975150108 0.182498777
## X2001 110.6784189 0.58291328 3.708379984 0.173443968
## X2002 110.7565449 0.79097205 3.152839899 0.171821678
## X2003 112.8481991 0.65877509 3.11435008 0.169591614
## X2004 112.7819068 0.64549148 3.171940088 0.181283719
## X2005 114.8954983 0.7515617 3.364639997 0.189858914
## X2006 117.8688245 0.84521472 3.605360031 0.198200034
## X2007 118.8680423 0.67676955 3.517210007 0.213070182
## X2008 120.4845509 0.70963746 3.805170059 0.239390819
## X2009 122.2407114 0.79475653 4.663760185 0.233165742
## X2010 126.8198055 0.78889084 3.631720066 0.273632534
## X2011 120.6844804 0.79485244 3.842619896 0.34943018
## X2012 119.4820715 0.78674686 3.29008007 0.320964411
## X2013 121.4976421 0.75677407 3.018110037 0.304697013
## X2014 121.621371 0.87364477 3.47213006 0.286651647
## X2015 123.6521649 0.90927666 3.25902009 0.300962369
## X2016 124.5981403 1.00771809 3.903209925 0.30087671
## X2017 124.3402989 1.06542468 4.76722002 0.294080108
## X2018 124.7561882 1.0672121 4.43445015 0.305011772
## X2019 126.0753336 1.10280871 4.239999771 0.290067383
## X2020 124.720924 <NA> 4.389999866 0.287107335
## X2021 128.0741502 <NA> <NA> 0.287004178
## NY.GDP.MKTP.PP.KD NY.GDP.DEFL.ZS.AD NE.GDI.TOTL.ZS GC.TAX.TOTL.GD.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> 6.444127212 <NA>
## X1966 <NA> <NA> 4.834273995 <NA>
## X1967 <NA> <NA> 4.988308574 <NA>
## X1968 <NA> <NA> 5.687996496 <NA>
## X1969 <NA> <NA> 4.846587412 <NA>
## X1970 <NA> <NA> 5.964872263 <NA>
## X1971 <NA> <NA> 7.75341205 <NA>
## X1972 <NA> <NA> 7.329539692 <NA>
## X1973 <NA> <NA> 9.178452837 <NA>
## X1974 <NA> <NA> 8.760150248 <NA>
## X1975 <NA> <NA> 14.49520203 <NA>
## X1976 <NA> <NA> 15.13165468 <NA>
## X1977 <NA> <NA> 16.02430498 <NA>
## X1978 <NA> <NA> 18.27995111 <NA>
## X1979 <NA> <NA> 15.81814037 <NA>
## X1980 <NA> <NA> 18.28615598 <NA>
## X1981 <NA> <NA> 17.60720707 <NA>
## X1982 <NA> <NA> 17.14857376 <NA>
## X1983 <NA> <NA> 19.63270053 <NA>
## X1984 <NA> <NA> 18.66209766 <NA>
## X1985 <NA> <NA> 22.55613274 <NA>
## X1986 <NA> <NA> 20.26415907 <NA>
## X1987 <NA> <NA> 21.18877615 <NA>
## X1988 <NA> <NA> 22.29214886 <NA>
## X1989 <NA> <NA> 21.50690609 <NA>
## X1990 30495897615 17.59519716 18.12582192 6.996692968
## X1991 32437922242 19.80245098 20.2534713 6.620301936
## X1992 33769955223 23.46374489 20.70466177 6.483344072
## X1993 35070047854 25.99194211 22.57089514 6.654637356
## X1994 37951403934 27.24371045 22.40354892 7.729134048
## X1995 39267730121 28.96029893 25.19949812 8.985513859
## X1996 41360026371 31.22587341 27.20508772 8.719914187
## X1997 43448133848 33.49883377 25.34071505 8.723659866
## X1998 44758698786 34.87491584 24.83936911 8.639332547
## X1999 46733709167 37.97426616 20.48351636 8.422505233
## X2000 49631199129 39.67264004 24.31486635 8.735981111
## X2001 52013443158 41.02646356 22.34304622 8.802574747
## X2002 52075933762 42.6407966 20.24621117 8.560583141
## X2003 54130349013 43.9499991 21.40937893 8.651811853
## X2004 56665058494 45.78114379 24.53114957 8.9749585
## X2005 58636538468 48.58267072 26.4511581 9.179453421
## X2006 60609432112 52.15837436 26.85190281 8.77975841
## X2007 62677159421 56.12412627 28.68525075 9.772473404
## X2008 66503373831 59.27822052 30.315647 10.44008641
## X2009 69518024119 68.70839558 31.67437709 11.84403686
## X2010 72866300418 79.11560985 38.27120645 13.39611544
## X2011 75359660061 100 27.81030642 11.62467555
## X2012 78879048237 107.74115 28.60270524 12.04080455
## X2013 81659655509 115.3720797 29.67660902 13.29788586
## X2014 86568611688 124.6426488 30.98608823 13.99491049
## X2015 90010625807 130.1381998 31.27743482 14.68630457
## X2016 90400474175 139.4435167 28.2409992 16.14374976
## X2017 98515977279 150.9635209 37.32505401 17.99936212
## X2018 106000000000 157.5392782 39.54780033 19.08282606
## X2019 113000000000 164.9296914 41.37874091 19.80906024
## X2020 110000000000 170.2361432 30.44028151 15.77364973
## X2021 115000000000 179.6195108 35.7822125 <NA>
## FS.AST.DOMS.GD.ZS FM.AST.PRVT.GD.ZS EN.ATM.CO2E.KD.GD NY.GDP.PCAP.PP.CD
## X1960 <NA> 1.045701034 <NA> <NA>
## X1961 <NA> 1.226252189 <NA> <NA>
## X1962 <NA> 1.252857767 <NA> <NA>
## X1963 <NA> 1.234835355 <NA> <NA>
## X1964 <NA> 1.499104091 <NA> <NA>
## X1965 <NA> 1.893966474 <NA> <NA>
## X1966 <NA> 1.788970856 <NA> <NA>
## X1967 <NA> 1.920498801 <NA> <NA>
## X1968 <NA> 2.215251576 <NA> <NA>
## X1969 <NA> 2.414527269 <NA> <NA>
## X1970 <NA> 2.869525547 <NA> <NA>
## X1971 <NA> 3.839785015 <NA> <NA>
## X1972 <NA> 3.515285813 <NA> <NA>
## X1973 <NA> 4.790851448 <NA> <NA>
## X1974 <NA> 4.886008935 <NA> <NA>
## X1975 <NA> 4.412527963 <NA> <NA>
## X1976 <NA> 3.625962997 <NA> <NA>
## X1977 <NA> 4.788194444 <NA> <NA>
## X1978 <NA> 5.703932467 <NA> <NA>
## X1979 <NA> 6.419986467 <NA> <NA>
## X1980 <NA> 8.573937244 <NA> <NA>
## X1981 <NA> 9.190317568 <NA> <NA>
## X1982 <NA> 8.631728634 <NA> <NA>
## X1983 <NA> 8.095971564 <NA> <NA>
## X1984 <NA> 8.485910323 <NA> <NA>
## X1985 <NA> 9.852316146 <NA> <NA>
## X1986 <NA> 10.58161654 <NA> <NA>
## X1987 <NA> 10.45158462 <NA> <NA>
## X1988 <NA> 11.78620654 <NA> <NA>
## X1989 <NA> 13.04865071 <NA> <NA>
## X1990 <NA> 12.8086563 0.113638794 856.6407557
## X1991 <NA> 13.35385013 0.134112471 917.7343875
## X1992 <NA> 13.4183155 0.134281075 951.0797168
## X1993 <NA> 14.57309798 0.148225505 983.8845862
## X1994 <NA> 18.55012245 0.169029142 1058.983355
## X1995 <NA> 22.83143607 0.177445991 1090.941625
## X1996 <NA> 23.19776388 0.174709069 1142.868284
## X1997 <NA> 23.88507426 0.185828864 1194.5345
## X1998 <NA> 28.66308232 0.191095613 1218.88372
## X1999 <NA> 28.87594825 0.246129986 1265.78446
## X2000 <NA> 30.67062082 0.239189047 1349.962286
## X2001 <NA> 29.41591045 0.245954094 1422.508725
## X2002 <NA> 22.86890082 0.197518292 1424.272228
## X2003 <NA> 26.14257403 0.205686742 1488.295004
## X2004 <NA> 27.09733041 0.18282314 1578.507295
## X2005 <NA> 28.72615081 0.200568415 1663.370047
## X2006 <NA> 33.15138628 0.159368051 1750.480683
## X2007 <NA> 37.28150565 0.158227934 1836.859826
## X2008 <NA> 51.65264553 0.165755403 1965.219302
## X2009 <NA> 59.17845463 0.205766415 2050.786913
## X2010 <NA> 54.58998779 0.23476397 2164.951653
## X2011 <NA> 46.42464435 0.254392672 2283.18558
## X2012 <NA> 48.75434965 0.281055382 2505.39181
## X2013 <NA> 50.46227084 0.275557392 2702.224963
## X2014 <NA> 54.4670476 0.30432063 2947.316487
## X2015 <NA> 56.90827406 0.265180175 2996.220462
## X2016 <NA> 69.84080011 0.381749507 2989.675006
## X2017 <NA> 68.55708521 0.41368632 3565.197807
## X2018 <NA> 76.32460801 0.419236125 3863.870402
## X2019 <NA> 78.9459109 <NA> 4119.584979
## X2020 <NA> 88.44003947 <NA> 3996.66547
## X2021 <NA> <NA> <NA> 4260.839694
## NY.GDP.FRST.RT.ZS NE.GDI.FTOT.ZS SE.XPD.SECO.PC.ZS NY.GDP.MKTP.CN.AD
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 1.547335521 <NA> <NA> <NA>
## X1971 1.402280908 <NA> <NA> <NA>
## X1972 1.17495854 <NA> <NA> <NA>
## X1973 2.113309698 <NA> <NA> <NA>
## X1974 1.94522473 <NA> <NA> <NA>
## X1975 3.43610027 13.41500288 <NA> <NA>
## X1976 2.285661967 14.04507367 <NA> <NA>
## X1977 8.137812406 14.93634201 <NA> <NA>
## X1978 6.973654045 16.69369535 <NA> <NA>
## X1979 2.571233029 14.68827407 <NA> <NA>
## X1980 2.997478812 15.7637791 <NA> <NA>
## X1981 2.242164706 15.74321541 <NA> <NA>
## X1982 3.151933341 17.63585917 <NA> <NA>
## X1983 2.087802599 19.47867299 <NA> <NA>
## X1984 1.672256707 17.53490723 <NA> <NA>
## X1985 1.152462424 20.84317177 <NA> <NA>
## X1986 1.846370848 18.16811428 <NA> <NA>
## X1987 1.680118445 19.50864337 <NA> <NA>
## X1988 1.521723512 19.92172262 <NA> <NA>
## X1989 1.488703917 18.12051216 <NA> <NA>
## X1990 1.746703903 16.12032954 <NA> 111000000000
## X1991 1.596161254 18.40049757 <NA> 133000000000
## X1992 1.887355667 19.17108013 <NA> 164000000000
## X1993 1.523479997 21.21902073 <NA> 189000000000
## X1994 1.200027148 21.09277771 <NA> 214000000000
## X1995 1.388811488 22.06912285 <NA> 235000000000
## X1996 1.326249219 22.53036201 <NA> 267000000000
## X1997 1.090667424 21.67243586 <NA> 301000000000
## X1998 1.271680096 21.73045921 <NA> 323000000000
## X1999 1.394818469 19.08249424 12.99079 367000000000
## X2000 1.16343889 19.32182309 11.39166 407000000000
## X2001 1.057559999 19.19511668 13.49722 442000000000
## X2002 1.139219606 19.56477735 10.48057 459000000000
## X2003 1.207725045 19.92418194 9.32593 492000000000
## X2004 0.896832452 20.34116505 <NA> 537000000000
## X2005 0.78790577 19.94173855 <NA> 589000000000
## X2006 1.074015242 20.720886 <NA> 654000000000
## X2007 1.350313271 21.06778122 <NA> 728000000000
## X2008 1.062004323 21.87755162 10.52313 816000000000
## X2009 0.998674343 21.35434374 12.27842 988000000000
## X2010 1.464463107 22.20772753 11.05385 1190000000000
## X2011 1.106345791 23.98238273 11.58327 1560000000000
## X2012 0.955331469 23.9904074 10.77751 1760000000000
## X2013 0.828729868 24.73023144 9.68304 1950000000000
## X2014 0.856372465 25.25208469 11.22859 2230000000000
## X2015 0.931579562 27.55380746 10.45324 2420000000000
## X2016 1.027379417 28.70522169 <NA> 2610000000000
## X2017 0.698704855 30.5754364 <NA> 3080000000000
## X2018 0.419137823 32.43288003 <NA> 3460000000000
## X2019 0.440770893 33.81512568 <NA> 3860000000000
## X2020 0.51215662 30.46922052 <NA> 3890000000000
## X2021 <NA> 29.85192976 <NA> 4280000000000
## NV.IND.MANF.ZS NE.TRD.GNFS.ZS GC.REV.XGRT.GD.ZS GB.XPD.RSDV.GD.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 3.284541294 21.688683 <NA> <NA>
## X1966 3.430308194 14.40150487 <NA> <NA>
## X1967 3.41387368 13.82696783 <NA> <NA>
## X1968 3.568938978 14.34546175 <NA> <NA>
## X1969 3.844708877 17.2323108 <NA> <NA>
## X1970 3.683850365 13.20711679 <NA> <NA>
## X1971 3.759230085 14.53345202 <NA> <NA>
## X1972 3.94444965 13.57893669 <NA> <NA>
## X1973 4.002407303 16.98264552 <NA> <NA>
## X1974 4.106808405 15.99781527 <NA> <NA>
## X1975 4.007000229 22.26781875 <NA> <NA>
## X1976 3.966885156 24.95113214 <NA> <NA>
## X1977 4.259259259 26.10532292 <NA> <NA>
## X1978 4.023920372 26.0439879 <NA> <NA>
## X1979 3.817240586 27.75151912 <NA> <NA>
## X1980 4.008393816 30.27279561 <NA> <NA>
## X1981 3.841505869 32.51913562 <NA> <NA>
## X1982 4.01123058 30.39886389 <NA> <NA>
## X1983 4.32464455 31.54620972 <NA> <NA>
## X1984 4.61030729 30.10154981 <NA> <NA>
## X1985 5.39003134 31.52878547 <NA> <NA>
## X1986 5.837700093 31.96504199 <NA> <NA>
## X1987 5.856194413 32.71988914 <NA> <NA>
## X1988 6.000832185 33.82903805 <NA> <NA>
## X1989 5.440858529 33.35092809 <NA> <NA>
## X1990 5.759263557 32.18875416 8.44530827 <NA>
## X1991 6.376362065 34.67505513 8.408655827 <NA>
## X1992 8.396064811 41.69541314 8.510657803 <NA>
## X1993 8.320715839 47.18958118 8.141414601 <NA>
## X1994 8.963125778 50.43207274 9.448893974 <NA>
## X1995 8.922094217 59.4905184 10.54226075 <NA>
## X1996 9.025643498 58.4577687 10.6868665 <NA>
## X1997 8.846648818 64.03553489 10.44265328 <NA>
## X1998 8.97040004 56.70960129 10.42762885 <NA>
## X1999 8.869534201 52.56698125 10.14893169 <NA>
## X2000 8.840859263 55.710589 10.62036217 <NA>
## X2001 8.699294828 55.79992108 10.4516561 <NA>
## X2002 8.213423646 46.2307185 10.50293508 <NA>
## X2003 7.887760015 44.24788362 10.90520508 <NA>
## X2004 7.763964162 46.14728672 11.13753356 <NA>
## X2005 7.615216521 44.06294748 11.54794948 <NA>
## X2006 7.314045291 44.76198776 10.7436739 <NA>
## X2007 7.168186946 44.57927502 11.86918045 <NA>
## X2008 7.01090408 46.03620635 12.30038815 0.054389998
## X2009 6.622367122 47.07944776 14.12985494 0.259240001
## X2010 5.946139 45.98490577 14.89835577 0.30219999
## X2011 5.396901505 36.29675203 13.05668861 <NA>
## X2012 5.785222834 37.92190606 13.89090147 <NA>
## X2013 5.750414306 41.86537574 15.16888016 <NA>
## X2014 5.61219116 45.98264161 16.23388567 <NA>
## X2015 5.356055555 46.66573039 16.99260634 <NA>
## X2016 4.888189626 42.11548612 18.57593366 <NA>
## X2017 4.855673994 44.64241062 19.93732837 <NA>
## X2018 4.906474539 48.44738695 22.0168966 <NA>
## X2019 4.981441388 49.24952659 22.40134791 <NA>
## X2020 4.474854392 40.91886559 19.36542667 <NA>
## X2021 4.66559835 43.81122818 <NA> <NA>
## EG.USE.COMM.GD.PP.KD GC.NLD.TOTL.GD.ZS BN.CAB.XOKA.GD.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> 1.275887214
## X1977 <NA> <NA> -0.11400463
## X1978 <NA> <NA> -1.604629643
## X1979 <NA> <NA> -0.614449693
## X1980 <NA> <NA> -1.996488459
## X1981 <NA> <NA> -0.839598813
## X1982 <NA> <NA> -3.565735498
## X1983 <NA> <NA> -5.948536687
## X1984 <NA> <NA> -3.687012193
## X1985 <NA> <NA> -4.641834691
## X1986 <NA> <NA> -4.181623378
## X1987 <NA> <NA> -4.170531195
## X1988 <NA> <NA> -7.784623235
## X1989 <NA> <NA> -6.901330037
## X1990 189.8343204 <NA> -7.972197628
## X1991 184.2496247 <NA> -7.762580647
## X1992 181.293933 <NA> -5.330988052
## X1993 179.1825328 <NA> -6.079190386
## X1994 171.452208 <NA> -8.652643525
## X1995 170.9215679 <NA> -8.097740688
## X1996 166.1770701 <NA> -7.223149767
## X1997 163.3053568 <NA> -7.890015129
## X1998 162.6418372 <NA> -1.383662254
## X1999 164.3393631 <NA> -1.563038657
## X2000 163.3592406 <NA> -2.377936958
## X2001 161.0080105 <NA> -2.741571051
## X2002 162.5980446 <NA> 3.556296775
## X2003 160.8520388 <NA> 2.847594088
## X2004 155.8713118 <NA> 1.374222036
## X2005 155.7325899 <NA> 1.883023964
## X2006 150.6528387 <NA> 1.659501804
## X2007 148.5078629 <NA> 0.054810111
## X2008 144.859989 <NA> 5.845485641
## X2009 142.6778325 <NA> 0.166582496
## X2010 140.1279321 -1.373379618 -0.797465993
## X2011 140.2401761 -0.877136702 1.337751414
## X2012 128.0725392 -0.543385074 2.660706191
## X2013 137.5526621 1.502004198 5.231372775
## X2014 135.033874 1.563383459 2.182983373
## X2015 <NA> 0.92949613 10.04331081
## X2016 <NA> 1.176663768 -0.684346954
## X2017 <NA> -2.385815315 -3.564329207
## X2018 <NA> -4.754252712 -8.300804944
## X2019 <NA> -4.793705761 -5.129629145
## X2020 <NA> -4.896852861 -0.251653458
## X2021 <NA> <NA> -14.8229695
## BG.GSR.NFSV.GD.ZS NE.CON.PRVT.ZS GC.LBL.TOTL.GD.ZS FS.AST.PRVT.GD.ZS
## X1960 <NA> <NA> <NA> 1.045701034
## X1961 <NA> <NA> <NA> 1.226252189
## X1962 <NA> <NA> <NA> 1.252857767
## X1963 <NA> <NA> <NA> 1.234835355
## X1964 <NA> <NA> <NA> 1.499104091
## X1965 <NA> <NA> <NA> 1.893966474
## X1966 <NA> <NA> <NA> 1.788970856
## X1967 <NA> <NA> <NA> 1.920498801
## X1968 <NA> <NA> <NA> 2.215251576
## X1969 <NA> <NA> <NA> 2.414527269
## X1970 <NA> <NA> <NA> 2.869525547
## X1971 <NA> <NA> <NA> 3.839785015
## X1972 <NA> <NA> <NA> 3.515285813
## X1973 <NA> <NA> <NA> 4.790851448
## X1974 <NA> <NA> <NA> 4.886008935
## X1975 <NA> 82.38489026 <NA> 4.412527963
## X1976 7.168953968 80.83246971 <NA> 3.625962997
## X1977 8.554516654 79.21296296 <NA> 4.788194444
## X1978 9.741827845 79.16582185 <NA> 5.703932467
## X1979 10.03404667 79.86045609 <NA> 6.419986467
## X1980 12.47307644 82.20204626 <NA> 8.573937244
## X1981 10.96158278 82.0705316 <NA> 9.190317568
## X1982 10.24144656 81.55414887 <NA> 8.631728634
## X1983 10.58418544 81.33293957 <NA> 8.095971564
## X1984 10.02260985 80.88347278 <NA> 8.485910323
## X1985 10.42389316 76.5315773 <NA> 9.852316146
## X1986 10.18303569 79.28684229 <NA> 10.58161654
## X1987 11.79922946 78.82746148 <NA> 10.45158462
## X1988 10.74343964 79.67706031 <NA> 11.78620654
## X1989 9.951683405 79.68629647 <NA> 13.04865071
## X1990 10.2466616 84.34524445 6.781542508 12.8086563
## X1991 10.80699873 82.48619559 <NA> 13.35385013
## X1992 14.66563099 81.27373712 <NA> 13.4183155
## X1993 15.98444643 79.27152469 <NA> 14.57309798
## X1994 21.53678301 82.01794532 <NA> 18.55012245
## X1995 22.54707354 75.09775353 <NA> 22.83143607
## X1996 22.12225159 76.37012301 <NA> 23.19776388
## X1997 22.16537207 77.13154114 3.062603159 23.88507426
## X1998 15.67691779 76.91402549 3.497814489 28.66308232
## X1999 17.23485544 77.46085207 3.484720907 28.87594825
## X2000 12.84759849 75.87776162 3.188506619 30.67062082
## X2001 10.45461702 80.23060493 3.024561512 29.41591045
## X2002 8.957206225 82.11190348 2.016354586 22.86890082
## X2003 10.08272647 82.77378284 0.785586442 26.14257403
## X2004 11.62882567 79.60667962 0.454961257 27.09733041
## X2005 10.02524244 79.54513222 0.792467748 28.72615081
## X2006 9.71435029 82.33393907 0.884244226 33.15138628
## X2007 11.95010456 80.98431439 1.537947891 37.28150565
## X2008 12.55762563 80.27958757 1.604765723 51.65264553
## X2009 12.03019197 79.78721684 3.133793126 59.17845463
## X2010 9.627177654 78.55601031 1.903550966 54.58998779
## X2011 7.627863336 84.67689704 1.517172468 46.42464435
## X2012 8.387897332 82.98298 -0.516168021 48.75434965
## X2013 9.800841032 84.28669551 -1.802198963 50.46227084
## X2014 11.37464152 82.63414132 -0.174482593 54.4670476
## X2015 10.80139608 83.56273312 0.144269512 56.90827406
## X2016 10.62254497 88.43112259 2.179567295 69.84080011
## X2017 11.10788401 78.49670653 2.281116159 68.55708521
## X2018 10.63264386 77.14685161 5.633109835 76.32460801
## X2019 9.75019134 76.5794975 4.002321623 78.9459109
## X2020 5.918168268 85.21291046 8.045683808 88.44003947
## X2021 6.369454769 83.89271823 <NA> <NA>
## BM.KLT.DINV.WD.GD.ZS NY.GDP.PCAP.KD NY.GDP.FCST.CN FS.AST.CGOV.GD.ZS
## X1960 <NA> 327.7572783 3818999800 0.002581978
## X1961 <NA> 328.7351119 3996999900 -0.157907727
## X1962 <NA> 329.6882672 4312999900 -0.038866026
## X1963 <NA> 330.5042565 4552000000 -0.353119584
## X1964 <NA> 349.4890032 4952999900 -0.806291045
## X1965 <NA> 339.3381853 5523999900 -0.403427355
## X1966 <NA> 356.7400014 6731000200 0.406715866
## X1967 <NA> 344.6424877 6324000100 0.5674201
## X1968 <NA> 340.3636539 7065000200 -2.371392657
## X1969 <NA> 348.6233822 7823999900 -2.623669413
## X1970 <NA> 350.496878 8713000000 -2.281021898
## X1971 <NA> 339.3001296 8775000400 -0.735484382
## X1972 <NA> 342.672848 10130000400 0.012482486
## X1973 <NA> 333.9001621 9765000400 0.216202118
## X1974 <NA> 347.5028348 12424999500 0.711847237
## X1975 <NA> 344.9690325 15935999800 1.34958352
## X1976 0 352.2911267 16588999900 3.014832718
## X1977 0 354.9240093 16255000000 4.484375
## X1978 0 362.3190891 18426000800 4.330022123
## X1979 0 362.5807482 20779000100 4.76209766
## X1980 0 346.1643244 21885999100 5.426407527
## X1981 0 366.4793841 25465999900 4.934714158
## X1982 0 371.5721443 29036999200 7.93533001
## X1983 0 352.1975762 31643000100 12.4721564
## X1984 0 377.4591486 37003999200 13.40213283
## X1985 0 391.6029451 44015000000 14.44167776
## X1986 0 400.4239383 52717000000 13.689972
## X1987 0 398.3404237 60372000000 13.13024552
## X1988 0 419.5476091 72214000000 12.63659532
## X1989 0 427.6444308 84511000000 13.37485577
## X1990 0 436.567494 97748000000 13.20656378
## X1991 0 452.403275 117000000000 13.21402897
## X1992 0 458.3946735 145000000000 12.80907367
## X1993 0 463.22571 166000000000 12.41498845
## X1994 0 488.1589295 187000000000 10.17418403
## X1995 0 492.5621745 205000000000 10.34269419
## X1996 0 506.7291102 233000000000 9.801135336
## X1997 0 520.6586649 263000000000 9.753740877
## X1998 0 525.3586111 282000000000 9.325067726
## X1999 0 537.9920293 321000000000 9.382202794
## X2000 0 561.0587877 356000000000 9.594466508
## X2001 0 578.1836624 413000000000 10.88810436
## X2002 <NA> 570.0165574 430000000000 9.995384193
## X2003 <NA> 584.1114778 460000000000 10.58167243
## X2004 <NA> 603.3215051 501000000000 11.0317345
## X2005 <NA> 616.4268484 548000000000 10.65244413
## X2006 <NA> 629.2917831 611000000000 9.976367737
## X2007 <NA> 642.968396 676000000000 11.36417108
## X2008 <NA> 674.9537655 755000000000 11.50913315
## X2009 <NA> 699.8561654 910000000000 8.474245342
## X2010 0 730.04269 1080000000000 11.18802488
## X2011 0 754.2413402 1440000000000 10.62738854
## X2012 0 790.9881496 1620000000000 8.791581518
## X2013 0 821.0732055 1780000000000 8.04920887
## X2014 0 870.7816903 2020000000000 5.761101762
## X2015 0 901.7496077 2190000000000 6.65579499
## X2016 0 897.4037881 2340000000000 1.482233943
## X2017 0 964.8977952 2720000000000 2.566531806
## X2018 0 1021.331877 3010000000000 9.613530164
## X2019 0 1069.789098 3340000000000 9.632236558
## X2020 0 1025.509112 3430000000000 13.67885106
## X2021 <NA> 1049.675971 3660000000000 <NA>
## EN.ATM.CO2E.PP.GD EG.GDP.PUSE.KO.PP.KD EG.EGY.PRIM.PP.KD
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 0.058041872 5.267751362 <NA>
## X1991 0.066258261 5.427419467 <NA>
## X1992 0.064863382 5.515904385 <NA>
## X1993 0.069941279 5.580901131 <NA>
## X1994 0.078090072 5.832529145 <NA>
## X1995 0.080719723 5.850636712 <NA>
## X1996 0.077634946 6.017677407 <NA>
## X1997 0.081176385 6.123497843 <NA>
## X1998 0.082547976 6.14847949 <NA>
## X1999 0.104843797 6.084969426 <NA>
## X2000 0.099630005 6.121478016 6.83
## X2001 0.099901886 6.210871106 6.73
## X2002 0.079225304 6.150135461 6.79
## X2003 0.08090496 6.216893534 6.72
## X2004 0.070031834 6.415548753 6.51
## X2005 0.074493324 6.421263529 6.51
## X2006 0.057419329 6.637777347 6.29
## X2007 0.055508426 6.733650194 6.21
## X2008 0.057054885 6.903217424 6.05
## X2009 0.070376051 7.00879725 5.96
## X2010 0.07934026 7.136335952 5.85
## X2011 0.084223994 7.130624245 5.86
## X2012 0.088733217 7.808075064 5.39
## X2013 0.083728335 7.269942907 5.86
## X2014 0.089911225 7.40554922 5.72
## X2015 0.088827947 <NA> 5.47
## X2016 0.127716277 <NA> 5.93
## X2017 0.126679955 <NA> 5.76
## X2018 0.139924952 <NA> 5.68
## X2019 0.114122286 <NA> 5.23
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## GC.NFN.TOTL.GD.ZS FM.LBL.BMNY.GD.ZS NY.GDP.PCAP.KD.ZG NY.GDP.FCST.KD
## X1960 <NA> 5.411825598 <NA> <NA>
## X1961 <NA> 6.323710988 0.298340759 <NA>
## X1962 <NA> 6.097393551 0.289946307 <NA>
## X1963 <NA> 7.259532062 0.247503293 <NA>
## X1964 <NA> 8.333664974 5.744176171 <NA>
## X1965 <NA> 9.378793456 -2.904474203 3686900953
## X1966 <NA> 8.046026688 5.128163241 3942894641
## X1967 <NA> 9.378020119 -3.391129021 3883721670
## X1968 <NA> 10.00975854 -1.24152822 3906404576
## X1969 <NA> 11.55165951 2.426736294 4059550032
## X1970 <NA> 10.50752737 0.537398192 4223262069
## X1971 <NA> 12.28127043 -3.194535849 4122527100
## X1972 <NA> 12.37245588 0.994022145 4230165653
## X1973 <NA> 16.4891156 -2.560076152 4221289620
## X1974 <NA> 15.02888878 4.07387424 4445442468
## X1975 <NA> 13.0336131 -0.729145815 4470943244
## X1976 <NA> 15.95032779 2.122536677 4629019828
## X1977 <NA> 19.4369213 0.747359903 4703408606
## X1978 <NA> 20.3588072 2.083567067 4874587454
## X1979 <NA> 20.98672059 0.072217859 4998287522
## X1980 <NA> 23.46409248 -4.527660079 4892480325
## X1981 <NA> 23.87812666 5.868617377 5274146242
## X1982 <NA> 25.45178845 1.389644405 5499708027
## X1983 <NA> 28.06635071 -5.214214381 5337264118
## X1984 <NA> 27.23026211 7.172557164 5867425978
## X1985 <NA> 27.71991585 3.747106535 6201331212
## X1986 <NA> 27.6570239 2.252534956 6492969548
## X1987 <NA> 29.54262182 -0.520327193 6597931325
## X1988 <NA> 29.9747744 5.323884853 7058221481
## X1989 <NA> 31.23379897 1.929893419 7424281841
## X1990 <NA> 32.01448519 2.086561291 7756008525
## X1991 <NA> 32.82000953 3.627338556 8254660930
## X1992 <NA> 32.0610892 1.32434906 8631620681
## X1993 <NA> 34.84227183 1.053903267 8902297081
## X1994 <NA> 36.24207114 5.382520661 9589126121
## X1995 <NA> 38.03490362 0.902010528 9843288724
## X1996 <NA> 37.5773463 2.876172081 10391061698
## X1997 <NA> 43.19522673 2.748915421 10896004686
## X1998 <NA> 44.77937144 0.902692407 11256114694
## X1999 <NA> 47.92581083 2.404722787 11751899955
## X2000 <NA> 51.33647424 4.287565072 12467303013
## X2001 <NA> 51.52594886 3.0522425 13065701954
## X2002 <NA> 50.83245038 -1.4125451 13086686566
## X2003 <NA> 52.29433504 2.472721223 13579919754
## X2004 <NA> 54.23225475 3.288760449 14178960894
## X2005 <NA> 54.19872632 2.172198934 14637556830
## X2006 <NA> 57.13533566 2.087017249 15183346358
## X2007 <NA> 60.86018588 2.173334102 15601015982
## X2008 <NA> 75.40009579 4.974641005 16505155680
## X2009 <NA> 80.66311212 3.689497146 17149610807
## X2010 3.868158511 73.24216062 4.313246946 17879868977
## X2011 3.15951075 66.48945133 3.31468974 18561742448
## X2012 2.915854023 67.71797811 4.87202271 19480713938
## X2013 2.783750795 74.31554963 3.803477458 20079553984
## X2014 2.978005109 75.36051884 6.05408683 21232603795
## X2015 3.648394395 86.38039633 3.556335386 21978324247
## X2016 4.688307873 94.20586025 -0.481931973 21978879123
## X2017 6.754081565 89.40497103 7.52102989 23866727131
## X2018 <NA> 95.33178294 5.848710831 25626474621
## X2019 <NA> 97.16987778 4.744512715 27262952301
## X2020 <NA> 117.7494555 -4.139132233 26602290156
## X2021 <NA> <NA> 2.356571795 27621363368
## NY.GDP.TOTL.RT.ZS NY.GDP.MKTP.CN NE.RSB.GNFS.ZS MS.MIL.XPND.GD.ZS
## X1960 <NA> 3872999900 <NA> <NA>
## X1961 <NA> 4052999900 <NA> <NA>
## X1962 <NA> 4374000100 <NA> <NA>
## X1963 <NA> 4616000000 <NA> <NA>
## X1964 <NA> 5023000100 <NA> <NA>
## X1965 <NA> 5601999900 -6.158514926 <NA>
## X1966 <NA> 6909000200 -3.111882961 <NA>
## X1967 <NA> 6415000100 -0.077942321 <NA>
## X1968 <NA> 7173000200 -0.65523489 <NA>
## X1969 <NA> 7984999900 -3.206011311 <NA>
## X1970 1.547335521 8768000000 -3.398722628 0.593019315
## X1971 1.402280908 8938000400 -3.72566553 0.617910602
## X1972 1.17495854 10369000400 -2.256726695 0.647556299
## X1973 2.113309698 9969000400 -3.761660999 0.657680994
## X1974 2.039763676 12807999500 -5.098376995 0.607236461
## X1975 3.43610027 16570999800 -4.465632786 0.682172825
## X1976 2.285661967 17393999900 -3.403471906 0.856261176
## X1977 9.172688007 17280000000 -2.528935185 0.892143089
## X1978 8.055118416 19732000800 -4.900668259 0.858464253
## X1979 4.151573113 22215000100 -4.181859986 0.911205724
## X1980 4.442852297 23350999000 -7.190270532 1.032075714
## X1981 2.608043944 27306999800 -6.716227024 0.99205332
## X1982 3.331593538 30987999200 -7.215695617 1.089453982
## X1983 2.715583077 33760000000 -11.08412382 1.252924973
## X1984 1.86502117 39389999100 -8.796649604 1.220614369
## X1985 1.152462424 46586000000 -8.47035676 1.195827162
## X1986 1.846370848 55724000000 -8.640442179 1.182850684
## X1987 1.680118445 63864000000 -9.09333897 1.159182012
## X1988 1.521723512 76906000000 -10.9346995 1.083790602
## X1989 1.488703917 89269000000 -11.21571878 1.106543145
## X1990 1.746703903 103000000000 -11.13413592 1.077154406
## X1991 1.596161254 124000000000 -11.69355256 1.096609649
## X1992 1.887355667 153000000000 -9.775960879 1.074689768
## X1993 1.523479997 176000000000 -10.32365296 1.050552554
## X1994 1.200027148 199000000000 -12.44419688 0.973315396
## X1995 1.388811488 219000000000 -9.544200433 0.941485115
## X1996 1.326249219 249000000000 -12.82261842 0.900716315
## X1997 1.090667424 281000000000 -11.37986475 0.880707846
## X1998 1.271680096 301000000000 -11.06549884 0.92705546
## X1999 1.394818469 342000000000 -6.870037072 0.947369575
## X2000 1.167019792 379000000000 -9.142581584 0.962150318
## X2001 1.06061514 442000000000 -10.67837364 1.098334384
## X2002 1.141777044 459000000000 -10.75645945 1.44764998
## X2003 1.210053519 492000000000 -12.84815463 1.592251101
## X2004 0.901697274 537000000000 -12.78189619 1.793292398
## X2005 0.792667946 589000000000 -14.89557389 1.929161376
## X2006 1.081820981 654000000000 -17.86880584 1.749109863
## X2007 1.356930627 728000000000 -18.86794527 1.547393889
## X2008 1.074373869 816000000000 -20.48456584 1.599971653
## X2009 1.00485104 988000000000 -22.24073939 1.6454486
## X2010 1.472314254 1190000000000 -26.81983343 1.563666433
## X2011 1.113986794 1560000000000 -20.68448362 1.540651621
## X2012 0.961086179 1760000000000 -20.42132348 1.431832398
## X2013 0.833688505 1950000000000 -23.27605838 1.541860106
## X2014 0.860694134 2230000000000 -25.73455737 1.629341062
## X2015 0.934852579 2420000000000 -26.2365532 1.556630126
## X2016 1.031178468 2610000000000 -25.75633004 1.700897728
## X2017 0.703177494 3080000000000 -29.01803331 1.708544543
## X2018 0.424053405 3460000000000 -32.8161049 1.539234028
## X2019 0.442967352 3860000000000 -33.68965364 1.376595177
## X2020 0.514043068 3890000000000 -27.30828594 1.363585634
## X2021 <NA> 4280000000000 -33.39276732 <NA>
## NY.GDP.NGAS.RT.ZS NY.GDP.DISC.CN NV.IND.TOTL.ZS NE.GDI.FPRV.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> 10.85326688 <NA>
## X1966 <NA> <NA> 9.031697524 <NA>
## X1967 <NA> <NA> 9.820732505 <NA>
## X1968 <NA> <NA> 10.07946438 <NA>
## X1969 <NA> <NA> 10.35691935 <NA>
## X1970 <NA> <NA> 11.46213504 <NA>
## X1971 0 <NA> 9.140746962 <NA>
## X1972 0 <NA> 9.094415697 <NA>
## X1973 0 <NA> 9.589727773 <NA>
## X1974 0 <NA> 8.705497685 <NA>
## X1975 0 0 7.86313509 10.36750963
## X1976 0 100 8.44544043 10.41163683
## X1977 0 100 10.53819387 10.94907407
## X1978 0 -100 11.14433413 11.05311074
## X1979 0 100 11.20414085 9.56560833
## X1980 0 0 11.16868704 9.485675966
## X1981 0 0 11.52817967 9.067272194
## X1982 0 -100 12.04659867 9.610171605
## X1983 0 100 11.99348312 10.76718039
## X1984 0 0 11.8329533 9.565879883
## X1985 0 0 14.27252823 13.05327781
## X1986 0 0 14.99892326 11.15318355
## X1987 0 0 14.96148065 12.10697733
## X1988 0 0 15.18217044 12.79223988
## X1989 0 0 15.6549306 9.268615085
## X1990 0 0 15.34675485 8.415525644
## X1991 0 0 16.44736311 11.3868224
## X1992 0 -0.0000153 19.39830167 12.40616471
## X1993 0 0 19.52049726 14.51998497
## X1994 0 0 20.39172588 14.37833715
## X1995 0 0 21.27386791 15.19333866
## X1996 0 -100 21.49305179 15.4499765
## X1997 0 0 21.4004342 14.75938727
## X1998 0 0 21.07596935 14.22725988
## X1999 0 0 20.44112316 12.09843408
## X2000 0 0 20.73557003 12.35559491
## X2001 0 -200000 16.6609083 15.1040088
## X2002 0 -392700 16.94682474 15.76909432
## X2003 0 -219000 16.97130006 16.93391924
## X2004 0 -56800.00002 16.65732027 17.55494654
## X2005 0 445300 16.46708923 17.02137045
## X2006 0 -122000 16.06796681 18.0440127
## X2007 0 -705900 15.87314018 17.68167435
## X2008 0 121600 16.04998664 17.8325965
## X2009 0 276400 15.06680347 16.87399825
## X2010 0 333600 14.20076226 17.70855166
## X2011 0 50385.23181 13.39346807 19.36379862
## X2012 0 16515611357 13.97716181 20.13555146
## X2013 0 34666575605 13.79833757 20.88761544
## X2014 0 91827925928 13.56456523 21.03487682
## X2015 0 62636228548 13.16165463 23.20667599
## X2016 0 30207725224 12.65541777 23.22932409
## X2017 0 144000000000 12.86258589 22.66109375
## X2018 0 279000000000 13.20063963 25.10554791
## X2019 0 294000000000 13.01067541 28.06546489
## X2020 0 101000000000 12.04731993 25.15049192
## X2021 <NA> 227000000000 11.72251561 23.52355004
## GC.DOD.TOTL.GD.ZS FS.AST.DOMO.GD.ZS EN.ATM.CO2E.PP.GD.KD
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 52.62058095 <NA> 0.030823818
## X1991 64.91143044 <NA> 0.036377176
## X1992 61.65692299 <NA> 0.036422909
## X1993 63.68153823 <NA> 0.040205249
## X1994 66.54121 <NA> 0.045848106
## X1995 66.18364321 <NA> 0.048385786
## X1996 65.19788038 <NA> 0.047388751
## X1997 59.88242969 <NA> 0.050404927
## X1998 66.35144343 <NA> 0.0518335
## X1999 64.06810979 <NA> 0.066761232
## X2000 64.57331984 <NA> 0.064878545
## X2001 58.98914159 <NA> 0.066521264
## X2002 63.93546098 <NA> 0.053575611
## X2003 62.58819538 <NA> 0.055791253
## X2004 59.41566729 <NA> 0.049589642
## X2005 51.76462305 <NA> 0.05440294
## X2006 49.68696803 <NA> 0.043227593
## X2007 42.97866114 <NA> 0.042918347
## X2008 43.79998725 <NA> 0.044960125
## X2009 <NA> <NA> 0.055812865
## X2010 33.86252123 <NA> 0.063678269
## X2011 <NA> <NA> 0.069002432
## X2012 <NA> <NA> 0.076065827
## X2013 <NA> <NA> 0.074577833
## X2014 <NA> <NA> 0.082362417
## X2015 <NA> <NA> 0.079879459
## X2016 <NA> <NA> 0.115154262
## X2017 <NA> <NA> 0.126679955
## X2018 <NA> <NA> 0.143267775
## X2019 <NA> <NA> 0.11893877
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## BX.KLT.DINV.WD.GD.ZS NY.GDP.PCAP.KN NY.GDP.FCST.KN NE.IMP.GNFS.ZS
## X1960 <NA> 25056.70299 <NA> <NA>
## X1961 <NA> 25131.45734 <NA> <NA>
## X1962 <NA> 25204.32508 <NA> <NA>
## X1963 <NA> 25266.70661 <NA> <NA>
## X1964 <NA> 26718.07075 <NA> <NA>
## X1965 <NA> 25942.05128 285000000000 13.92359896
## X1966 <NA> 27272.40202 305000000000 8.756693914
## X1967 <NA> 26347.55968 300000000000 6.952455075
## X1968 <NA> 26020.44729 302000000000 7.50034832
## X1969 <NA> 26651.89493 314000000000 10.21916105
## X1970 <NA> 26795.12173 327000000000 8.302919708
## X1971 <NA> 25939.14196 319000000000 9.129558777
## X1972 0.002929405 26196.98277 327000000000 7.917831694
## X1973 -0.001028699 25526.32007 327000000000 10.37215326
## X1974 0.020526234 26566.23024 344000000000 10.54809613
## X1975 <NA> 26372.52369 346000000000 13.36672577
## X1976 -0.002753317 26932.29018 358000000000 14.17730202
## X1977 0 27133.57131 364000000000 14.31712905
## X1978 0.025558508 27698.91747 377000000000 15.47232808
## X1979 0.016205267 27718.92103 387000000000 15.96668955
## X1980 0.015416899 26463.90251 379000000000 18.73153307
## X1981 -0.010107299 28016.96769 408000000000 19.61768132
## X1982 -0.001252385 28406.30392 425000000000 18.80727975
## X1983 -0.024518069 26925.13833 413000000000 21.31516677
## X1984 0.036804482 28856.35927 454000000000 19.44909971
## X1985 0.024809975 29937.6378 480000000000 19.99957112
## X1986 0.041041331 30611.99355 502000000000 20.30274209
## X1987 0.047003039 30452.71103 510000000000 20.90661405
## X1988 0.019500949 32073.9783 546000000000 22.38186877
## X1989 0.011914122 32692.97189 574000000000 22.28332344
## X1990 0.163746322 33375.13079 600000000000 21.66144504
## X1991 0.056611336 34585.75978 639000000000 23.18430384
## X1992 0 35043.79596 668000000000 25.73568701
## X1993 0 35413.12367 689000000000 28.75661707
## X1994 0 37319.24237 742000000000 31.43813481
## X1995 0 37655.86586 762000000000 34.51735942
## X1996 0.42374943 38738.91337 804000000000 35.64019356
## X1997 0.468752021 39803.81333 843000000000 37.70769982
## X1998 0.247611787 40163.11933 871000000000 33.88755007
## X1999 0.086439766 41128.93101 909000000000 29.71850916
## X2000 -0.008824253 42892.36069 965000000000 32.42658529
## X2001 0.347091875 44201.53955 1010000000000 33.23914736
## X2002 -0.098374869 43577.17287 1010000000000 28.49358898
## X2003 0.233443621 44654.71488 1050000000000 28.54801912
## X2004 -0.005737557 46123.30148 1100000000000 29.46459146
## X2005 0.030156296 47125.19134 1130000000000 29.47926069
## X2006 -0.073509433 48108.70221 1170000000000 31.3153968
## X2007 0.055606415 49154.26504 1210000000000 31.72361014
## X2008 0.007932157 51599.51327 1280000000000 33.26038609
## X2009 0.297715389 53503.27584 1330000000000 34.66009358
## X2010 0.548294666 55811.00425 1380000000000 36.4023696
## X2011 0.435815132 57660.96588 1440000000000 28.49061783
## X2012 0.423691401 60470.22123 1510000000000 29.17161477
## X2013 0.33471227 62770.19247 1550000000000 32.57071706
## X2014 0.133746295 66570.35442 1640000000000 35.85859949
## X2015 0.213029579 68937.81949 1700000000000 36.4511418
## X2016 0.432213143 68605.5861 1700000000000 33.93590808
## X2017 0.677439878 73765.43273 1850000000000 36.83022197
## X2018 0.206157198 78079.75959 1980000000000 40.63174592
## X2019 0.542801816 81784.26371 2110000000000 41.46959011
## X2020 0.378738964 78399.10489 2060000000000 34.11357577
## X2021 <NA> 80246.63608 2140000000000 38.60199775
## NY.GNS.ICTR.ZS NY.GDP.PCAP.CD NY.GDP.DISC.KN NV.AGR.TOTL.ZS
## X1960 <NA> 50.30493772 <NA> <NA>
## X1961 <NA> 51.81124873 <NA> <NA>
## X1962 <NA> 55.02568891 <NA> <NA>
## X1963 <NA> 46.86145326 <NA> <NA>
## X1964 <NA> 46.00340388 <NA> <NA>
## X1965 <NA> 67.00747097 <NA> 64.58407648
## X1966 <NA> 81.16442237 <NA> 68.69300568
## X1967 <NA> 73.96790076 <NA> 66.23538322
## X1968 <NA> 66.54894009 <NA> 67.39160414
## X1969 <NA> 66.63834579 <NA> 66.42454686
## X1970 <NA> 71.71859114 <NA> 66.86815807
## X1971 <NA> 71.6298781 <NA> 66.83821697
## X1972 <NA> 81.386573 <NA> 67.84646088
## X1973 <NA> 75.63696074 <NA> 65.33252722
## X1974 <NA> 92.75222233 <NA> 68.41817725
## X1975 <NA> 117.4177468 <NA> 69.00609461
## X1976 15.32126861 105.8928233 <NA> 66.08600762
## X1977 17.44328299 98.54200742 <NA> 60.12152894
## X1978 17.42714069 111.8066138 <NA> 58.8688401
## X1979 16.46995176 126.1333096 <NA> 60.1620533
## X1980 17.29647841 129.5860224 <NA> 57.89902179
## X1981 16.89507043 148.0802633 <NA> 56.79862201
## X1982 16.40122553 152.2896698 <NA> 57.16728978
## X1983 14.50573585 151.9925535 <NA> 56.52251303
## X1984 16.01258618 156.6505397 <NA> 57.29880913
## X1985 18.62311339 155.4078184 <NA> 48.85802602
## X1986 15.51950735 165.3618292 <NA> 48.69715024
## X1987 16.80707054 167.7999446 <NA> 47.95033196
## X1988 14.84427922 193.499648 <NA> 47.79210985
## X1989 13.2464208 191.1208533 <NA> 47.68956749
## X1990 10.3341958 191.8788839 <NA> 48.80289317
## X1991 11.71677402 202.0805891 <NA> 44.72338673
## X1992 15.10886219 170.5866512 <NA> 42.66526274
## X1993 16.62517071 178.6259878 <NA> 39.89594836
## X1994 13.9920437 193.2795509 <NA> 40.44170782
## X1995 21.00779388 203.9807806 <NA> 39.04140527
## X1996 20.38508266 204.6857552 <NA> 38.92765745
## X1997 19.11054397 217.7879819 <NA> 38.78073387
## X1998 20.13192901 210.6115609 <NA> 37.39300969
## X1999 20.47123509 214.1067032 <NA> 38.70148172
## X2000 21.73051331 229.4903926 <NA> 38.24389704
## X2001 18.5502235 246.7255581 <NA> 35.24767001
## X2002 25.13148362 244.7208435 <NA> 36.15029503
## X2003 25.12676611 252.4023518 <NA> 35.10587509
## X2004 27.57583417 286.1576726 <NA> 34.67635711
## X2005 30.68571741 315.80563 <NA> 33.82489668
## X2006 29.50425285 346.9453313 <NA> 32.36648504
## X2007 31.05886965 391.3800572 <NA> 31.16441132
## X2008 36.65691212 470.455459 <NA> 30.30571637
## X2009 37.24818062 478.1732528 <NA> 31.32265206
## X2010 37.75048339 592.4012071 <NA> 33.17937849
## X2011 29.51620768 797.8139473 <NA> 30.80547966
## X2012 34.55533815 804.1416073 <NA> 30.07605696
## X2013 37.08132511 823.3598746 <NA> 28.62265753
## X2014 39.58970376 844.8531249 <NA> 27.46189536
## X2015 40.08822844 901.7496077 <NA> 26.51850843
## X2016 35.30509599 899.523581 <NA> 25.51787537
## X2017 41.88064846 1048.453755 <NA> 23.69954846
## X2018 42.6031208 1178.525957 <NA> 22.33467205
## X2019 42.18750826 1194.957236 <NA> 21.58337276
## X2020 32.81975747 1147.471971 <NA> 22.18009019
## X2021 32.62383756 1222.878794 <NA> 21.31988975
## CM.MKT.TRAD.GD.ZS CM.MKT.LCAP.GD.ZS PA.NUS.PPP NY.GDP.MKTP.PP.CD
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> 6.855172398 16195204675
## X1991 <NA> <NA> 7.462756348 17809100163
## X1992 <NA> <NA> 8.645528589 18962933642
## X1993 <NA> <NA> 9.355323514 20159768606
## X1994 <NA> <NA> 9.600855654 22281961821
## X1995 <NA> <NA> 9.996182258 23538237236
## X1996 <NA> <NA> 10.58439036 25246362676
## X1997 <NA> <NA> 11.16235091 26978289337
## X1998 <NA> <NA> 11.4915425 28104868450
## X1999 <NA> <NA> 12.33891727 29758555947
## X2000 <NA> <NA> 12.60519056 32319580727
## X2001 <NA> <NA> 12.74813167 34633980664
## X2002 <NA> <NA> 13.04641998 35216021000
## X2003 <NA> <NA> 13.18673162 37327748401
## X2004 <NA> <NA> 13.37705251 40124608887
## X2005 <NA> <NA> 13.76403079 42822630163
## X2006 <NA> <NA> 14.33475801 45629232067
## X2007 <NA> <NA> 15.01878444 48461112328
## X2008 <NA> <NA> 15.56430534 52405679687
## X2009 <NA> <NA> 17.92543252 55132393547
## X2010 <NA> <NA> 20.39547456 58482287147
## X2011 <NA> <NA> 25.25461197 61740123574
## X2012 <NA> <NA> 26.00444031 67618420433
## X2013 <NA> <NA> 26.79986954 72735235363
## X2014 <NA> <NA> 28.1527462 79300444355
## X2015 <NA> <NA> 29.9425354 80942994654
## X2016 <NA> <NA> 31.99880981 81508795260
## X2017 <NA> <NA> 31.23498344 98515977279
## X2018 <NA> <NA> 31.83499365 109000000000
## X2019 <NA> <NA> 32.74274823 118000000000
## X2020 <NA> <NA> 33.39374122 116000000000
## X2021 <NA> <NA> 33.82868766 126000000000
## NY.GDP.DEFL.ZS NE.EXP.GNFS.ZS NY.GDP.PCAP.CN NY.GDP.FCST.CD
## X1960 1.529623912 <NA> 383.2733205 501246856.5
## X1961 1.570740203 <NA> 394.7499041 524609515.7
## X1962 1.663368182 <NA> 419.2407238 566084774.9
## X1963 1.72274918 <NA> 435.2819809 490057812.2
## X1964 1.743331203 <NA> 465.7844643 489185175.3
## X1965 1.96796281 7.765084037 510.5299213 725029518.3
## X1966 2.2674634 5.644810953 618.391734 883449297.8
## X1967 2.13895117 6.874512753 563.5614359 830030200.8
## X1968 2.375643789 6.84511343 618.1531398 760601612.7
## X1969 2.531577034 7.013149743 674.7132511 772740730.9
## X1970 2.710010959 4.90419708 726.1507352 860543209.9
## X1971 2.79597728 5.403893247 725.2525157 866666706.2
## X1972 3.145549465 5.661104999 824.0390516 1000493867
## X1973 3.038685537 6.610492262 775.6645961 952209183.7
## X1974 3.671512146 5.449719138 975.38237 1181532855
## X1975 4.682013144 8.901092981 1234.765025 1515405078
## X1976 4.707485278 10.77383012 1267.833595 1385557255
## X1977 4.539671827 11.78819387 1231.775093 1300400000
## X1978 4.965093868 10.57165982 1375.277253 1497987952
## X1979 5.460528978 11.78482957 1513.599716 1731583342
## X1980 5.876050473 11.54126254 1555.032269 1823833258
## X1981 6.342453541 12.9014543 1776.96316 2122166658
## X1982 6.935308657 11.59158414 1970.064855 2244613931
## X1983 7.787567315 10.23104295 2096.813272 2293718974
## X1984 8.284254462 10.6524501 2390.534231 2424853981
## X1985 9.230468152 11.52921436 2763.384122 2475325479
## X1986 10.55896975 11.66229991 3232.311139 2696949388
## X1987 11.89962122 11.81327508 3623.757263 2795556523
## X1988 13.30559838 11.44716927 4267.634736 3274268873
## X1989 14.80359226 11.06760466 4839.734257 3337334981
## X1990 16.38992821 10.52730912 5470.159975 3428743809
## X1991 18.4459854 11.49075129 6379.684199 3714570795
## X1992 21.8564811 15.95972613 7659.340641 3234463252
## X1993 24.21149711 18.43296411 8574.047413 3457916667
## X1994 25.37751946 18.99393793 9470.697996 3818836735
## X1995 26.97652183 24.97315898 10158.24288 4114738956
## X1996 29.08690473 22.81757514 11267.95082 4240799273
## X1997 31.20416757 26.32783507 12420.44861 4603910223
## X1998 32.48598818 22.82205122 13047.3862 4550476190
## X1999 35.37303335 22.84847209 14548.55049 4717880795
## X2000 36.95506882 23.28400371 15850.90141 5147574924
## X2001 41.02646356 22.56077372 18134.32852 5624870748
## X2002 42.6407966 17.73712952 18581.65365 5668339260
## X2003 43.9499991 15.69986449 19625.74678 5920137147
## X2004 45.78114379 16.68269526 21115.77497 6785394365
## X2005 48.58267072 14.58368679 22894.67653 7565717328
## X2006 52.15837436 13.44659096 25092.717 8449644451
## X2007 56.12412627 12.85566488 27587.40178 9588352545
## X2008 59.27822052 12.77582026 30587.27326 11616425419
## X2009 68.70839558 12.41935419 36761.24241 11830719902
## X2010 79.11560985 9.582536172 44155.21637 14535459375
## X2011 100 7.806134205 57660.96588 19869929072
## X2012 107.74115 8.750291287 65151.31178 19975684930
## X2013 115.3720797 9.294658678 72419.27646 20206662643
## X2014 124.6426488 10.12404212 82975.05304 20592668320
## X2015 130.1381998 10.21458859 89714.43725 21978324247
## X2016 139.4435167 8.17957804 95666.04194 22015610883
## X2017 150.9635209 7.812188656 111358.8945 25614337303
## X2018 157.5392782 7.815641022 123006.2897 28848666957
## X2019 164.9296914 7.779936474 134886.5338 29610972525
## X2020 170.2361432 6.805289826 133463.6124 29477215821
## X2021 179.6195108 5.209230429 144138.6152 31072803545
## NE.CON.TOTL.ZS GC.AST.TOTL.GD.ZS EG.GDP.PUSE.KO.PP NE.CON.GOVT.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 89.97043075 <NA> <NA> 7.585540493
## X1976 88.27181665 <NA> <NA> 7.439346944
## X1977 86.50462963 <NA> <NA> 7.291666667
## X1978 86.62071765 <NA> <NA> 7.454895806
## X1979 88.36371916 <NA> <NA> 8.503263072
## X1980 88.90411455 <NA> <NA> 6.702068293
## X1981 89.10901995 <NA> <NA> 7.038488351
## X1982 90.06712218 <NA> <NA> 8.512973306
## X1983 91.45142299 <NA> <NA> 10.11848341
## X1984 90.13455195 <NA> <NA> 9.251079165
## X1985 85.91422402 <NA> <NA> 9.382646718
## X1986 88.37628311 <NA> <NA> 9.089440815
## X1987 87.90456282 <NA> <NA> 9.07710134
## X1988 88.64255065 <NA> <NA> 8.965490339
## X1989 89.70881269 <NA> <NA> 10.02251622
## X1990 93.00831399 -0.194844125 2.797501243 8.663069544
## X1991 91.44008126 <NA> 2.979767206 8.953885671
## X1992 89.0712991 <NA> 3.097360601 7.797561985
## X1993 87.75275782 <NA> 3.208141485 8.481233137
## X1994 90.04064796 <NA> 3.424384298 8.022702638
## X1995 84.34470232 <NA> 3.507044448 9.246948785
## X1996 85.61753074 <NA> 3.673219763 9.247407729
## X1997 86.0391497 -1.122942609 3.802269095 8.90760856
## X1998 86.22612973 -1.511077133 3.86075136 9.31210424
## X1999 86.38652072 -1.068600966 3.874717122 8.925668643
## X2000 84.82771524 -0.658255334 3.986274891 8.949953622
## X2001 88.33537272 -1.628697157 4.13560758 8.104982306
## X2002 90.51033375 -1.984576977 4.158990227 8.398430273
## X2003 91.43882019 -0.924037698 4.28710773 8.66503735
## X2004 88.25075721 -0.817309394 4.542859239 8.644077586
## X2005 88.44434024 -0.184947032 4.689488849 8.899208024
## X2006 91.01692168 -0.725824206 4.997187276 8.682982614
## X2007 90.1827915 -0.433069947 5.206365149 9.198477111
## X2008 90.16890393 0.035517337 5.439841324 9.889316356
## X2009 90.56633433 0.0711545 5.558440033 10.77911749
## X2010 88.54859901 1.017425095 5.727603102 9.992588705
## X2011 92.87417397 0.147182295 5.841926857 8.197276933
## X2012 90.87936626 -1.059514594 6.693408633 7.896386254
## X2013 91.82103312 -0.300186813 6.475425412 7.534337608
## X2014 90.63528277 1.388900866 6.783790711 8.001141444
## X2015 92.37473012 2.028425282 <NA> 8.811996996
## X2016 96.35714108 4.289986965 <NA> 7.926018483
## X2017 87.01524485 0.767200801 <NA> 8.518538323
## X2018 85.20838789 -0.002792772 <NA> 8.061536277
## X2019 84.69659271 -0.864102849 <NA> 8.117095211
## X2020 94.28064253 3.152060198 <NA> 9.067732071
## X2021 92.29193766 <NA> <NA> 8.399219427
## GC.XPN.TOTL.GD.ZS FD.AST.PRVT.GD.ZS SL.UEM.NEET.ZS SL.UEM.1524.FE.ZS
## X1960 <NA> 1.040537078 <NA> <NA>
## X1961 <NA> 1.213915648 <NA> <NA>
## X1962 <NA> 1.227709163 <NA> <NA>
## X1963 <NA> 1.167677643 <NA> <NA>
## X1964 <NA> 1.42146125 <NA> <NA>
## X1965 <NA> 1.833273864 <NA> <NA>
## X1966 <NA> 1.619626527 <NA> <NA>
## X1967 <NA> 1.826968015 <NA> <NA>
## X1968 <NA> 2.141363387 <NA> <NA>
## X1969 <NA> 2.275516622 <NA> <NA>
## X1970 <NA> 2.739507299 <NA> <NA>
## X1971 <NA> 3.715596164 <NA> <NA>
## X1972 <NA> 3.43716835 <NA> <NA>
## X1973 <NA> 4.603269953 <NA> <NA>
## X1974 <NA> 4.719706618 <NA> <NA>
## X1975 <NA> 4.285800547 <NA> <NA>
## X1976 <NA> 3.529377967 <NA> <NA>
## X1977 <NA> 4.684606481 <NA> <NA>
## X1978 <NA> 5.604601435 <NA> <NA>
## X1979 <NA> 6.269187458 <NA> <NA>
## X1980 <NA> 8.396642902 <NA> <NA>
## X1981 <NA> 8.995495726 <NA> <NA>
## X1982 <NA> 8.454885981 <NA> <NA>
## X1983 <NA> 7.907879147 <NA> <NA>
## X1984 <NA> 8.199543219 <NA> <NA>
## X1985 <NA> 9.30687331 <NA> <NA>
## X1986 <NA> 10.25016151 <NA> <NA>
## X1987 <NA> 10.14828385 <NA> <NA>
## X1988 <NA> 11.56905833 <NA> <NA>
## X1989 <NA> 12.81878368 <NA> <NA>
## X1990 <NA> 12.47099095 <NA> <NA>
## X1991 <NA> 12.95458033 <NA> 2.586999893
## X1992 <NA> 13.09025213 <NA> 2.490999937
## X1993 <NA> 14.26361836 <NA> 2.424999952
## X1994 <NA> 18.29765346 <NA> 2.421000004
## X1995 <NA> 22.58190943 <NA> 2.296000004
## X1996 <NA> 22.83838128 <NA> 2.263999939
## X1997 <NA> 23.3645143 <NA> 2.20600009
## X1998 <NA> 28.21230202 <NA> 2.128999949
## X1999 <NA> 28.44902291 <NA> 2.092000008
## X2000 <NA> 30.28106291 <NA> 2.053999901
## X2001 <NA> 29.08380662 <NA> 1.978999972
## X2002 <NA> 22.50918264 <NA> 1.871000051
## X2003 <NA> 25.81266795 <NA> 1.850999951
## X2004 14.59633833 26.55397925 <NA> 1.797999978
## X2005 <NA> 28.21497492 <NA> 1.723999977
## X2006 <NA> 32.61416286 <NA> 1.659999967
## X2007 <NA> 36.77121883 <NA> 1.597000003
## X2008 <NA> 51.19786815 23.12999916 1.562999964
## X2009 <NA> 58.77492981 <NA> 1.967000008
## X2010 15.63520088 54.21260718 <NA> 2.410000086
## X2011 13.93790561 46.02557861 <NA> 2.838999987
## X2012 13.83933585 48.39298877 <NA> 3.328999996
## X2013 12.69043542 50.18531483 <NA> 3.788000107
## X2014 13.58299152 54.2201924 <NA> 4.357999802
## X2015 13.98979845 56.68439189 <NA> 4.808000088
## X2016 14.22711074 69.65767267 <NA> 4.748000145
## X2017 16.85380845 68.41674545 34.75999832 5.109000206
## X2018 20.1657917 76.16895532 <NA> 5.135000229
## X2019 21.70186528 78.84534533 <NA> 5.184000015
## X2020 20.16478293 88.34028058 <NA> 7.113999844
## X2021 <NA> <NA> <NA> 8.550000191
## SL.SRV.EMPL.ZS SL.FAM.WORK.ZS SL.EMP.TOTL.SP.FE.ZS SL.AGR.EMPL.MA.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 14.90999985 52.72999954 79.91799927 74.79000092
## X1992 14.68999958 52.59999847 80.05000305 74.68000031
## X1993 14.51000023 52.40999985 80.16300201 74.40000153
## X1994 14.39999962 52.13999939 80.1969986 73.83000183
## X1995 14.28999996 51.91999817 80.4280014 73.13999939
## X1996 14.21000004 51.61999893 80.36699677 72.13999939
## X1997 14.14000034 51.27999878 80.36599731 70.86000061
## X1998 14.10000038 50.95000076 80.41999817 69.33000183
## X1999 14.05000019 50.50999832 80.43599701 67.43000031
## X2000 14.22999954 49.99000168 80.21900177 66.37000275
## X2001 14.43000031 49.45000076 80.04399872 65.55999756
## X2002 14.60000038 49.09000015 79.91699982 65.19999695
## X2003 14.85000038 48.54999924 79.64700317 64.51999664
## X2004 15.11999989 47.93000031 79.42500305 63.90000153
## X2005 15.39000034 47.36999893 79.22899628 63.38000107
## X2006 15.67000008 46.79000092 79.01000214 62.84999847
## X2007 15.97000027 46.20999908 78.78500366 62.36000061
## X2008 16.30999947 45.5 78.53399658 61.56999969
## X2009 16.64999962 44.77999878 78.45800018 61.00999832
## X2010 16.96999931 44.02000046 78.41100311 60.40000153
## X2011 17.30999947 43.33000183 78.47499847 59.70999908
## X2012 17.72999954 42.56000137 78.61199951 58.54999924
## X2013 18.12000084 41.81999969 78.86499786 57.40000153
## X2014 18.54999924 40.95000076 79.00499725 56.13000107
## X2015 18.94000053 40.25 79.22499847 55.20999908
## X2016 19.29000092 39.70000076 79.73400116 54.93000031
## X2017 19.70999908 38.81999969 79.71199799 53.79000092
## X2018 20.11000061 38.02999878 79.94200134 52.88999939
## X2019 20.52000046 37.20000076 80.06400299 52.11000061
## X2020 <NA> <NA> 72.26599884 <NA>
## X2021 <NA> <NA> 74.80899811 <NA>
## per_lm_alllm.cov_q5_tot SL.UEM.INTM.MA.ZS SL.TLF.PART.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> <NA> <NA>
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 <NA> 1.929999948 30.57999992
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> <NA>
## X2015 <NA> <NA> <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> 13.25 29.88999939
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.TLF.0714.WK.MA.ZS SL.SRV.0714.MA.ZS SL.FAM.0714.MA.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 23.22274882 9.723161033 91.8
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 10.23713436 4.17 91.97
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 7.136226177 <NA> <NA>
## X2015 <NA> <NA> <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> <NA> <NA>
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.EMP.SELF.MA.ZS SL.AGR.0714.FE.ZS per_lm_alllm.cov_q1_tot
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 77.61000061 <NA> <NA>
## X1992 77.61000061 <NA> <NA>
## X1993 77.62000275 <NA> <NA>
## X1994 77.40000153 <NA> <NA>
## X1995 77.33999634 <NA> <NA>
## X1996 77.11000061 <NA> <NA>
## X1997 76.80999756 <NA> <NA>
## X1998 76.62000275 <NA> <NA>
## X1999 76.27999878 85.9 <NA>
## X2000 75.73000336 <NA> <NA>
## X2001 75.25 <NA> <NA>
## X2002 75.34999847 <NA> <NA>
## X2003 75.08000183 <NA> <NA>
## X2004 74.68000031 <NA> <NA>
## X2005 74.37999725 <NA> <NA>
## X2006 74.09999847 <NA> <NA>
## X2007 73.83000183 <NA> <NA>
## X2008 73.22000122 88.93 <NA>
## X2009 72.61000061 <NA> <NA>
## X2010 71.84999847 <NA> <NA>
## X2011 71.08000183 <NA> <NA>
## X2012 70.02999878 <NA> <NA>
## X2013 68.97000122 <NA> <NA>
## X2014 67.65000153 <NA> <NA>
## X2015 66.77999878 <NA> <NA>
## X2016 66.62999725 <NA> <NA>
## X2017 65.62000275 <NA> <NA>
## X2018 64.80999756 <NA> <NA>
## X2019 63.99000168 <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.UEM.TOTL.FE.ZS SL.UEM.1524.MA.ZS SL.TLF.0714.MA.ZS SL.IND.EMPL.FE.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 1.720999956 3.75999999 <NA> 1.440000057
## X1992 1.662999988 3.680000067 <NA> 1.649999976
## X1993 1.654999971 3.663000107 <NA> 1.899999976
## X1994 1.763000011 3.753000021 <NA> 2.25
## X1995 1.643000007 3.647000074 <NA> 2.619999886
## X1996 1.68599999 3.710000038 <NA> 3.089999914
## X1997 1.677000046 3.720000029 <NA> 3.650000095
## X1998 1.628000021 3.696000099 <NA> 4.269999981
## X1999 1.659000039 3.720000029 42.2 5.039999962
## X2000 1.636999965 3.638000011 <NA> 5.46999979
## X2001 1.537999988 3.551000118 <NA> 5.75
## X2002 1.376000047 3.400000095 <NA> 5.949999809
## X2003 1.383999944 3.377000093 <NA> 6.139999866
## X2004 1.330000043 3.289999962 <NA> 6.300000191
## X2005 1.24000001 3.176000118 <NA> 6.409999847
## X2006 1.169999957 3.052999973 <NA> 6.460000038
## X2007 1.101999998 2.933000088 <NA> 6.519999981
## X2008 1.07099998 2.842999935 36.2 6.690000057
## X2009 1.307000041 3.388000011 <NA> 6.849999905
## X2010 1.572999954 3.982000113 <NA> 7.070000172
## X2011 1.802000046 4.551000118 <NA> 7.269999981
## X2012 2.094000101 5.18200016 <NA> 7.480000019
## X2013 2.329999924 5.736000061 <NA> 7.679999828
## X2014 2.690999985 6.420000076 41.50491273 7.940000057
## X2015 2.878999949 6.870999813 <NA> 8.119999886
## X2016 2.721999884 6.546999931 <NA> 8.119999886
## X2017 3.076999903 7.008999825 <NA> 8.329999924
## X2018 3.002000093 6.90199995 <NA> 8.5
## X2019 2.944999933 6.835999966 <NA> 8.619999886
## X2020 4.532999992 9.159000397 <NA> <NA>
## X2021 4.934000015 10.56900024 <NA> <NA>
## SL.EMP.TOTL.SP.MA.ZS SL.EMP.1524.SP.FE.NE.ZS SL.UEM.TOTL.FE.NE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 88.94499969 <NA> <NA>
## X1992 88.86499786 <NA> <NA>
## X1993 88.70899963 <NA> <NA>
## X1994 88.37999725 <NA> <NA>
## X1995 88.43599701 <NA> <NA>
## X1996 88.31300354 <NA> <NA>
## X1997 88.28800201 <NA> <NA>
## X1998 88.33699799 <NA> <NA>
## X1999 88.22699738 <NA> 1.659999967
## X2000 87.95999908 <NA> <NA>
## X2001 87.80400085 <NA> <NA>
## X2002 87.75099945 <NA> <NA>
## X2003 87.39299774 <NA> <NA>
## X2004 87.13700104 <NA> <NA>
## X2005 86.94000244 <NA> <NA>
## X2006 86.69599915 <NA> <NA>
## X2007 86.44100189 <NA> <NA>
## X2008 86.11199951 73.80999756 1.080000043
## X2009 85.68199921 <NA> <NA>
## X2010 85.17500305 <NA> <NA>
## X2011 84.77500153 <NA> <NA>
## X2012 84.23200226 <NA> <NA>
## X2013 83.73699951 <NA> <NA>
## X2014 83.01999664 <NA> <NA>
## X2015 82.5719986 <NA> 2.900000095
## X2016 82.51899719 <NA> <NA>
## X2017 81.76000214 16.56999969 12.02000046
## X2018 81.71199799 <NA> <NA>
## X2019 81.6989975 <NA> <NA>
## X2020 75.53800201 <NA> <NA>
## X2021 76.5739975 <NA> <NA>
## SL.UEM.1524.MA.NE.ZS SL.TLF.0714.FE.ZS SL.EMP.TOTL.SP.MA.NE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> 71
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 3.960000038 52.4 88.33000183
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> 90
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 2.910000086 45.4 86.33999634
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> 82.90000153
## X2014 <NA> 44.09135567 84.19999695
## X2015 <NA> <NA> <NA>
## X2016 <NA> <NA> <NA>
## X2017 19.22999954 <NA> 49.56999969
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.AGR.EMPL.ZS SL.UEM.INTM.ZS SL.SRV.0714.ZS SL.FAM.0714.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 82.33000183 <NA> <NA> <NA>
## X1992 82.09999847 <NA> <NA> <NA>
## X1993 81.75 <NA> <NA> <NA>
## X1994 81.15000153 <NA> <NA> <NA>
## X1995 80.51999664 <NA> <NA> <NA>
## X1996 79.68000031 <NA> <NA> <NA>
## X1997 78.66000366 <NA> <NA> <NA>
## X1998 77.51999664 <NA> <NA> <NA>
## X1999 76.11000061 <NA> 11.06 92.41
## X2000 75.25 <NA> <NA> <NA>
## X2001 74.58999634 <NA> <NA> <NA>
## X2002 74.19000244 <NA> <NA> <NA>
## X2003 73.61000061 <NA> <NA> <NA>
## X2004 73.08000183 <NA> <NA> <NA>
## X2005 72.63999939 <NA> <NA> <NA>
## X2006 72.20999908 <NA> <NA> <NA>
## X2007 71.77999878 <NA> <NA> <NA>
## X2008 71.12999725 1.820000052 3.09 92.26
## X2009 70.61000061 <NA> <NA> <NA>
## X2010 70.04000092 <NA> <NA> <NA>
## X2011 69.54000092 <NA> <NA> <NA>
## X2012 68.86000061 <NA> <NA> <NA>
## X2013 68.23999786 <NA> <NA> <NA>
## X2014 67.48000336 <NA> <NA> <NA>
## X2015 66.93000031 <NA> <NA> <NA>
## X2016 66.66000366 <NA> <NA> <NA>
## X2017 65.80999756 14.46000004 <NA> <NA>
## X2018 65.08000183 <NA> <NA> <NA>
## X2019 64.37999725 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.EMP.SELF.ZS SL.AGR.0714.MA.ZS per_lm_alllm.cov_q2_tot
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 85.44999695 <NA> <NA>
## X1992 85.40000153 <NA> <NA>
## X1993 85.36000061 <NA> <NA>
## X1994 85.19000244 <NA> <NA>
## X1995 85.12999725 <NA> <NA>
## X1996 85 <NA> <NA>
## X1997 84.83999634 <NA> <NA>
## X1998 84.73999786 <NA> <NA>
## X1999 84.56999969 88.3 <NA>
## X2000 84.26000214 <NA> <NA>
## X2001 83.94999695 <NA> <NA>
## X2002 83.97000122 <NA> <NA>
## X2003 83.79000092 <NA> <NA>
## X2004 83.51999664 <NA> <NA>
## X2005 83.30999756 <NA> <NA>
## X2006 83.09999847 <NA> <NA>
## X2007 82.90000153 <NA> <NA>
## X2008 82.5 89.03 <NA>
## X2009 82.12999725 <NA> <NA>
## X2010 81.69999695 <NA> <NA>
## X2011 81.33000183 <NA> <NA>
## X2012 80.83999634 <NA> <NA>
## X2013 80.37000275 <NA> <NA>
## X2014 79.73000336 <NA> <NA>
## X2015 79.29000092 <NA> <NA>
## X2016 79.15000153 <NA> <NA>
## X2017 78.51999664 <NA> <NA>
## X2018 77.95999908 <NA> <NA>
## X2019 77.33999634 <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.UEM.TOTL.MA.ZS SL.UEM.1524.ZS SL.TLF.0714.SW.FE.ZS SL.IND.EMPL.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 1.807999969 3.203000069 <NA> 2.75999999
## X1992 1.746999979 3.119999886 <NA> 3.210000038
## X1993 1.771000028 3.082999945 <NA> 3.74000001
## X1994 1.998999953 3.130000114 <NA> 4.449999809
## X1995 1.825000048 3.013999939 <NA> 5.199999809
## X1996 1.944000006 3.023999929 <NA> 6.119999886
## X1997 1.972000003 2.992000103 <NA> 7.199999809
## X1998 1.922999978 2.931999922 <NA> 8.380000114
## X1999 2.029000044 2.917999983 53.8 9.840000153
## X2000 2.062999964 2.851999998 <NA> 10.52000046
## X2001 1.945000052 2.763000011 <NA> 10.97999954
## X2002 1.703999996 2.625999928 <NA> 11.21000004
## X2003 1.796000004 2.598999977 <NA> 11.53999996
## X2004 1.768000007 2.525000095 <NA> 11.80000019
## X2005 1.666000009 2.427999973 <NA> 11.97000027
## X2006 1.605999947 2.336999893 <NA> 12.11999989
## X2007 1.549999952 2.249000072 <NA> 12.25
## X2008 1.577000022 2.188999891 83.75918546 12.56999969
## X2009 1.786999941 2.660000086 <NA> 12.73999977
## X2010 2.062999964 3.171000004 <NA> 12.98999977
## X2011 2.263999939 3.654000044 <NA> 13.15999985
## X2012 2.585000038 4.193999767 <NA> 13.40999985
## X2013 2.801000118 4.683000088 <NA> 13.64999962
## X2014 3.246999979 5.296000004 89.79322999 13.97999954
## X2015 3.375 5.744999886 <NA> 14.14000034
## X2016 3.051000118 5.565000057 <NA> 14.05000019
## X2017 3.625 5.974999905 <NA> 14.47999954
## X2018 3.436000109 5.947000027 <NA> 14.81000042
## X2019 3.288000107 5.951000214 <NA> 15.10999966
## X2020 4.955999851 8.088000298 <NA> <NA>
## X2021 5.197000027 9.501000404 <NA> <NA>
## SL.EMP.TOTL.SP.ZS SL.EMP.1524.SP.MA.NE.ZS SL.UEM.INTM.FE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 84.33599854 <NA> <NA>
## X1992 84.39600372 <NA> <NA>
## X1993 84.40699768 <NA> <NA>
## X1994 84.28500366 <NA> <NA>
## X1995 84.44200134 <NA> <NA>
## X1996 84.33999634 <NA> <NA>
## X1997 84.30699921 <NA> <NA>
## X1998 84.33200073 <NA> <NA>
## X1999 84.26200104 <NA> <NA>
## X2000 83.99900055 <NA> <NA>
## X2001 83.82900238 <NA> <NA>
## X2002 83.73400116 <NA> <NA>
## X2003 83.41999817 <NA> <NA>
## X2004 83.17900085 <NA> <NA>
## X2005 82.98000336 <NA> <NA>
## X2006 82.75099945 <NA> <NA>
## X2007 82.51399994 <NA> <NA>
## X2008 82.22200012 74.83999634 1.659999967
## X2009 81.95999908 <NA> <NA>
## X2010 81.66600037 <NA> <NA>
## X2011 81.45500183 <NA> <NA>
## X2012 81.21299744 <NA> <NA>
## X2013 81.06700134 <NA> <NA>
## X2014 80.78099823 <NA> <NA>
## X2015 80.67900085 <NA> <NA>
## X2016 80.93800354 <NA> <NA>
## X2017 80.59700012 31.90999985 16.51000023
## X2018 80.70899963 <NA> <NA>
## X2019 80.77700043 <NA> <NA>
## X2020 73.70200348 <NA> <NA>
## X2021 75.59200287 <NA> <NA>
## SL.TLF.PART.MA.ZS SL.SRV.0714.FE.ZS SL.FAM.0714.FE.ZS SL.EMP.SELF.FE.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> 93.81999969
## X1992 <NA> <NA> <NA> 93.83000183
## X1993 <NA> <NA> <NA> 93.83000183
## X1994 <NA> <NA> <NA> 93.80999756
## X1995 <NA> <NA> <NA> 93.77999878
## X1996 <NA> <NA> <NA> 93.72000122
## X1997 <NA> <NA> <NA> 93.62999725
## X1998 <NA> <NA> <NA> 93.52999878
## X1999 <NA> 12.27995312 92.9 93.41000366
## X2000 <NA> <NA> <NA> 93.26999664
## X2001 <NA> <NA> <NA> 93.12000275
## X2002 <NA> <NA> <NA> 93.04000092
## X2003 <NA> <NA> <NA> 92.94000244
## X2004 <NA> <NA> <NA> 92.80999756
## X2005 <NA> <NA> <NA> 92.68000031
## X2006 <NA> <NA> <NA> 92.55000305
## X2007 <NA> <NA> <NA> 92.41000366
## X2008 26.86000061 2.19 92.51 92.23000336
## X2009 <NA> <NA> <NA> 91.98000336
## X2010 <NA> <NA> <NA> 91.69000244
## X2011 <NA> <NA> <NA> 91.33000183
## X2012 <NA> <NA> <NA> 90.87000275
## X2013 <NA> <NA> <NA> 90.37999725
## X2014 <NA> <NA> <NA> 89.80999756
## X2015 <NA> <NA> <NA> 89.30000305
## X2016 <NA> <NA> <NA> 89
## X2017 23.45999908 <NA> <NA> 88.62000275
## X2018 <NA> <NA> <NA> 88.25
## X2019 <NA> <NA> <NA> 87.88999939
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## per_lm_alllm.cov_pop_tot SL.UEM.NEET.MA.ZS SL.UEM.1524.FE.NE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> <NA> 2.160000086
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 <NA> 21.89999962 1.590000033
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> <NA>
## X2015 <NA> 86.79000092 <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> 21.15999985 22.47999954
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.TLF.0714.ZS SL.SRV.EMPL.MA.ZS SL.FAM.WORK.MA.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> 21.21999931 35.90000153
## X1992 <NA> 20.67000008 35.79999924
## X1993 <NA> 20.18000031 35.61999893
## X1994 <NA> 19.72999954 35.31000137
## X1995 <NA> 19.34000015 35
## X1996 <NA> 19.01000023 34.50999832
## X1997 <NA> 18.70000076 33.91999817
## X1998 <NA> 18.47999954 33.29000092
## X1999 47.2 18.22999954 32.54999924
## X2000 <NA> 18.32999992 31.70999908
## X2001 <NA> 18.48999977 30.94000053
## X2002 <NA> 18.59000015 30.37999916
## X2003 <NA> 18.81999969 29.63999939
## X2004 <NA> 19.06999969 28.81999969
## X2005 <NA> 19.34000015 28.05999947
## X2006 <NA> 19.63999939 27.32999992
## X2007 <NA> 19.94000053 26.60000038
## X2008 40.6 20.26000023 25.71999931
## X2009 <NA> 20.55999947 24.73999977
## X2010 <NA> 20.78000069 23.70999908
## X2011 <NA> 21.10000038 22.59000015
## X2012 <NA> 21.65999985 21.29000092
## X2013 <NA> 22.14999962 20.05999947
## X2014 42.82749291 22.67000008 18.77000046
## X2015 <NA> 23.12000084 17.75
## X2016 <NA> 23.48999977 17.13999939
## X2017 <NA> 23.87000084 16.29999924
## X2018 <NA> 24.22999954 15.60000038
## X2019 <NA> 24.57999992 14.96000004
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.EMP.TOTL.SP.FE.NE.ZS SL.AGR.EMPL.FE.ZS per_lm_alllm.cov_q4_tot
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> 90.38999939 <NA>
## X1992 <NA> 90.12000275 <NA>
## X1993 <NA> 89.80000305 <NA>
## X1994 <NA> 89.25 <NA>
## X1995 <NA> 88.72000122 <NA>
## X1996 63.70000076 88.01999664 <NA>
## X1997 <NA> 87.19999695 <NA>
## X1998 <NA> 86.37999725 <NA>
## X1999 80.51000214 85.37999725 <NA>
## X2000 <NA> 84.62999725 <NA>
## X2001 <NA> 84.09999847 <NA>
## X2002 <NA> 83.65000153 <NA>
## X2003 93 83.19000244 <NA>
## X2004 <NA> 82.73000336 <NA>
## X2005 <NA> 82.34999847 <NA>
## X2006 <NA> 82.02999878 <NA>
## X2007 <NA> 81.68000031 <NA>
## X2008 78.73999786 81.15000153 <NA>
## X2009 <NA> 80.54000092 <NA>
## X2010 <NA> 79.83000183 <NA>
## X2011 <NA> 79.12000275 <NA>
## X2012 <NA> 78.44000244 <NA>
## X2013 74.90000153 77.76000214 <NA>
## X2014 76.40000153 76.94999695 <NA>
## X2015 <NA> 76.29000092 <NA>
## X2016 <NA> 75.88999939 <NA>
## X2017 24.55999947 75.22000122 <NA>
## X2018 <NA> 74.62000275 <NA>
## X2019 <NA> 74.08000183 <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.WAG.0714.MA.ZS SL.UEM.BASC.FE.ZS SL.TLF.0714.SW.ZS SL.SLF.0714.FE.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> <NA>
## X1992 <NA> <NA> <NA> <NA>
## X1993 <NA> <NA> <NA> <NA>
## X1994 <NA> <NA> <NA> <NA>
## X1995 <NA> <NA> <NA> <NA>
## X1996 <NA> <NA> <NA> <NA>
## X1997 <NA> <NA> <NA> <NA>
## X1998 <NA> <NA> <NA> <NA>
## X1999 4 <NA> 64.4 4.3
## X2000 <NA> <NA> <NA> <NA>
## X2001 <NA> <NA> <NA> <NA>
## X2002 <NA> <NA> <NA> <NA>
## X2003 <NA> <NA> <NA> <NA>
## X2004 <NA> <NA> <NA> <NA>
## X2005 <NA> <NA> <NA> <NA>
## X2006 <NA> <NA> <NA> <NA>
## X2007 <NA> <NA> <NA> <NA>
## X2008 2.54 1.080000043 86.50597704 5.71
## X2009 <NA> <NA> <NA> <NA>
## X2010 <NA> <NA> <NA> <NA>
## X2011 <NA> <NA> <NA> <NA>
## X2012 <NA> <NA> <NA> <NA>
## X2013 <NA> <NA> <NA> <NA>
## X2014 <NA> <NA> 91.24855939 <NA>
## X2015 <NA> <NA> <NA> <NA>
## X2016 <NA> <NA> <NA> <NA>
## X2017 <NA> 12.64000034 <NA> <NA>
## X2018 <NA> <NA> <NA> <NA>
## X2019 <NA> <NA> <NA> <NA>
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.EMP.WORK.FE.ZS SL.EMP.MPYR.FE.ZS SL.WAG.0714.ZS SL.UEM.BASC.MA.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 6.179999828 0.25 <NA> <NA>
## X1992 6.170000076 0.25 <NA> <NA>
## X1993 6.170000076 0.25 <NA> <NA>
## X1994 6.190000057 0.25 <NA> <NA>
## X1995 6.21999979 0.25 <NA> <NA>
## X1996 6.28000021 0.25999999 <NA> <NA>
## X1997 6.369999886 0.25999999 <NA> <NA>
## X1998 6.46999979 0.25999999 <NA> <NA>
## X1999 6.590000153 0.25999999 3.27 <NA>
## X2000 6.739999771 0.270000011 <NA> <NA>
## X2001 6.880000114 0.270000011 <NA> <NA>
## X2002 6.960000038 0.270000011 <NA> <NA>
## X2003 7.059999943 0.270000011 <NA> <NA>
## X2004 7.190000057 0.280000001 <NA> <NA>
## X2005 7.329999924 0.280000001 <NA> <NA>
## X2006 7.449999809 0.280000001 <NA> <NA>
## X2007 7.590000153 0.289999992 <NA> <NA>
## X2008 7.769999981 0.289999992 2.08 1
## X2009 8.020000458 0.300000012 <NA> <NA>
## X2010 8.31000042 0.310000002 <NA> <NA>
## X2011 8.670000076 0.319999993 <NA> <NA>
## X2012 9.130000114 0.340000004 <NA> <NA>
## X2013 9.619999886 0.349999994 <NA> <NA>
## X2014 10.18999958 0.370000005 <NA> <NA>
## X2015 10.71000004 0.389999986 <NA> <NA>
## X2016 11 0.400000006 <NA> <NA>
## X2017 11.38000011 0.409999996 <NA> 8.649999619
## X2018 11.75 0.419999987 <NA> <NA>
## X2019 12.10999966 0.430000007 <NA> <NA>
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.SLF.0714.MA.ZS SL.EMP.WORK.MA.ZS SL.EMP.MPYR.MA.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> 22.38999939 1.50999999
## X1992 <NA> 22.38999939 1.5
## X1993 <NA> 22.37999916 1.5
## X1994 <NA> 22.60000038 1.5
## X1995 <NA> 22.65999985 1.50999999
## X1996 <NA> 22.88999939 1.50999999
## X1997 <NA> 23.19000053 1.519999981
## X1998 <NA> 23.38999939 1.539999962
## X1999 4.1 23.71999931 1.549999952
## X2000 <NA> 24.27000046 1.559999943
## X2001 <NA> 24.76000023 1.570000052
## X2002 <NA> 24.64999962 1.580000043
## X2003 <NA> 24.92000008 1.590000033
## X2004 <NA> 25.31999969 1.590000033
## X2005 <NA> 25.62000084 1.600000024
## X2006 <NA> 25.89999962 1.610000014
## X2007 <NA> 26.17000008 1.620000005
## X2008 5.17 26.78000069 1.629999995
## X2009 <NA> 27.38999939 1.639999986
## X2010 <NA> 28.14999962 1.649999976
## X2011 <NA> 28.93000031 1.669999957
## X2012 <NA> 29.96999931 1.710000038
## X2013 <NA> 31.03000069 1.730000019
## X2014 <NA> 32.34999847 1.75999999
## X2015 <NA> 33.22000122 1.789999962
## X2016 <NA> 33.36999893 1.809999943
## X2017 <NA> 34.38000107 1.799999952
## X2018 <NA> 35.18999863 1.799999952
## X2019 <NA> 36.00999832 1.789999962
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## per_lm_alllm.adq_pop_tot SL.UEM.NEET.FE.ZS SL.TLF.0714.WK.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> <NA> 35.6
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 <NA> 24.11000061 13.49402296
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> 8.751440606
## X2015 <NA> <NA> <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> 45.81999969 <NA>
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.SRV.EMPL.FE.ZS SL.FAM.WORK.FE.ZS SL.EMP.SMGT.FE.ZS SL.AGR.0714.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 8.170000076 70.69999695 <NA> <NA>
## X1992 8.220000267 70.76000214 <NA> <NA>
## X1993 8.300000191 70.80000305 <NA> <NA>
## X1994 8.5 70.75 <NA> <NA>
## X1995 8.670000076 70.72000122 <NA> <NA>
## X1996 8.890000343 70.55000305 <NA> <NA>
## X1997 9.149999619 70.30000305 <NA> <NA>
## X1998 9.350000381 70.04000092 <NA> <NA>
## X1999 9.579999924 69.68000031 <NA> 87.01
## X2000 9.899999619 69.30000305 <NA> <NA>
## X2001 10.14999962 68.94999695 <NA> <NA>
## X2002 10.40999985 68.76999664 <NA> <NA>
## X2003 10.67000008 68.44000244 <NA> <NA>
## X2004 10.97000027 68.01999664 <NA> <NA>
## X2005 11.25 67.62000275 <NA> <NA>
## X2006 11.51000023 67.19999695 <NA> <NA>
## X2007 11.80000019 66.79000092 <NA> <NA>
## X2008 12.15999985 66.23000336 <NA> 88.97
## X2009 12.60000038 65.51000214 <NA> <NA>
## X2010 13.10000038 64.62999725 <NA> <NA>
## X2011 13.60999966 63.54999924 <NA> <NA>
## X2012 14.09000015 62.29000092 <NA> <NA>
## X2013 14.56999969 60.93000031 <NA> <NA>
## X2014 15.10999966 59.47000122 <NA> <NA>
## X2015 15.59000015 58.22999954 <NA> <NA>
## X2016 15.98999977 57.45000076 <NA> <NA>
## X2017 16.45000076 56.45000076 13.89999962 <NA>
## X2018 16.88999939 55.59000015 <NA> <NA>
## X2019 17.29999924 54.79000092 <NA> <NA>
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## per_lm_alllm.cov_q3_tot SL.UEM.TOTL.NE.ZS SL.UEM.ADVN.FE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> 4.5 <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> 1.850000024 <NA>
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 <NA> 1.330000043 5.900000095
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> <NA>
## X2015 <NA> 3.099999905 <NA>
## X2016 <NA> <NA> <NA>
## X2017 <NA> 10.65999985 7.679999828
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.MNF.0714.FE.ZS SL.EMP.VULN.FE.ZS SL.EMP.1524.SP.MA.ZS SL.UEM.BASC.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> 93.55999756 80.96700287 <NA>
## X1992 <NA> 93.58000183 80.88800049 <NA>
## X1993 <NA> 93.58000374 80.76899719 <NA>
## X1994 <NA> 93.56999969 80.58100128 <NA>
## X1995 <NA> 93.53000069 80.58300018 <NA>
## X1996 <NA> 93.47000313 80.43900299 <NA>
## X1997 <NA> 93.37000275 80.36399841 <NA>
## X1998 <NA> 93.27000046 80.3259964 <NA>
## X1999 1.531663387 93.14999962 80.23200226 <NA>
## X2000 <NA> 93.00000381 79.72399902 <NA>
## X2001 <NA> 92.84999657 79.15299988 <NA>
## X2002 <NA> 92.76999664 78.60800171 <NA>
## X2003 <NA> 92.67000198 77.94100189 <NA>
## X2004 <NA> 92.5399971 77.31300354 <NA>
## X2005 <NA> 92.40000343 76.7009964 <NA>
## X2006 <NA> 92.25999641 76.10399628 <NA>
## X2007 <NA> 92.13000107 75.48300171 <NA>
## X2008 1.48 91.94000244 74.81800079 1.029999971
## X2009 <NA> 91.68000221 73.82299805 <NA>
## X2010 <NA> 91.38999748 72.7539978 <NA>
## X2011 <NA> 91.00999832 71.80699921 <NA>
## X2012 <NA> 90.53000069 70.84400177 <NA>
## X2013 <NA> 90.03000069 69.96399689 <NA>
## X2014 <NA> 89.43000031 69.01699829 <NA>
## X2015 <NA> 88.89999962 68.28299713 <NA>
## X2016 <NA> 88.61000061 68.16400146 <NA>
## X2017 <NA> 88.21000099 67.49500275 9.81000042
## X2018 <NA> 87.83000183 67.27700043 <NA>
## X2019 <NA> 87.47000122 67.08100128 <NA>
## X2020 <NA> <NA> 59.40100098 <NA>
## X2021 <NA> <NA> 60.61999893 <NA>
## SL.TLF.PART.FE.ZS SL.TLF.0714.WK.FE.ZS SL.SLF.0714.ZS SL.EMP.WORK.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> 14.56000042
## X1992 <NA> <NA> <NA> 14.60000038
## X1993 <NA> <NA> <NA> 14.64000034
## X1994 <NA> <NA> <NA> 14.81000042
## X1995 <NA> <NA> <NA> 14.86999989
## X1996 <NA> <NA> <NA> 15.01000023
## X1997 <NA> <NA> <NA> 15.15999985
## X1998 <NA> <NA> <NA> 15.26000023
## X1999 <NA> 46.2 4.23 15.43000031
## X2000 <NA> <NA> <NA> 15.73999977
## X2001 <NA> <NA> <NA> 16.04999924
## X2002 <NA> <NA> <NA> 16.03000069
## X2003 <NA> <NA> <NA> 16.21999931
## X2004 <NA> <NA> <NA> 16.47999954
## X2005 <NA> <NA> <NA> 16.69000053
## X2006 <NA> <NA> <NA> 16.89999962
## X2007 <NA> <NA> <NA> 17.10000038
## X2008 34.04999924 16.24081454 5.46 17.5
## X2009 <NA> <NA> <NA> 17.87000084
## X2010 <NA> <NA> <NA> 18.29999924
## X2011 <NA> <NA> <NA> 18.67000008
## X2012 <NA> <NA> <NA> 19.15999985
## X2013 <NA> <NA> <NA> 19.62999916
## X2014 <NA> 10.20677001 <NA> 20.27000046
## X2015 <NA> <NA> <NA> 20.70999908
## X2016 <NA> <NA> <NA> 20.85000038
## X2017 40.25999832 <NA> <NA> 21.47999954
## X2018 <NA> <NA> <NA> 22.04000092
## X2019 <NA> <NA> <NA> 22.67000008
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.EMP.MPYR.ZS per_lm_alllm.ben_q1_tot SL.UEM.TOTL.ZS SL.UEM.ADVN.MA.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 0.899999976 <NA> 1.766000032 <NA>
## X1992 0.899999976 <NA> 1.707000017 <NA>
## X1993 0.910000026 <NA> 1.715999961 <NA>
## X1994 0.910000026 <NA> 1.886999965 <NA>
## X1995 0.910000026 <NA> 1.738000035 <NA>
## X1996 0.920000017 <NA> 1.82099998 <NA>
## X1997 0.920000017 <NA> 1.83099997 <NA>
## X1998 0.930000007 <NA> 1.781000018 <NA>
## X1999 0.930000007 <NA> 1.850000024 <NA>
## X2000 0.930000007 <NA> 1.855000019 <NA>
## X2001 0.939999998 <NA> 1.746000051 <NA>
## X2002 0.939999998 <NA> 1.54400003 <NA>
## X2003 0.949999988 <NA> 1.595000029 <NA>
## X2004 0.949999988 <NA> 1.55400002 <NA>
## X2005 0.959999979 <NA> 1.457999945 <NA>
## X2006 0.959999979 <NA> 1.393000007 <NA>
## X2007 0.970000029 <NA> 1.33099997 <NA>
## X2008 0.970000029 <NA> 1.330000043 4.590000153
## X2009 0.980000019 <NA> 1.550999999 <NA>
## X2010 0.99000001 <NA> 1.820000052 <NA>
## X2011 0.99000001 <NA> 2.029999971 <NA>
## X2012 1 <NA> 2.329999924 <NA>
## X2013 1 <NA> 2.551000118 <NA>
## X2014 1.00999999 <NA> 2.944000006 <NA>
## X2015 1.00999999 <NA> 3.099999905 <NA>
## X2016 1.019999981 <NA> 2.868000031 <NA>
## X2017 1.019999981 <NA> 3.318000078 8.609999657
## X2018 1.029999971 <NA> 3.193000078 <NA>
## X2019 1.029999971 <NA> 3.096999884 <NA>
## X2020 <NA> <NA> 4.723999977 <NA>
## X2021 <NA> <NA> 5.052000046 <NA>
## SL.TLF.0714.SW.MA.ZS SL.MNF.0714.MA.ZS SL.EMP.VULN.MA.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> 76.10000229
## X1992 <NA> <NA> 76.11000061
## X1993 <NA> <NA> 76.11999893
## X1994 <NA> <NA> 75.90000153
## X1995 <NA> <NA> 75.84000015
## X1996 <NA> <NA> 75.59999847
## X1997 <NA> <NA> 75.2899971
## X1998 <NA> <NA> 75.08000183
## X1999 76.77725118 1.203637722 74.72999954
## X2000 <NA> <NA> 74.16999817
## X2001 <NA> <NA> 73.68000221
## X2002 <NA> <NA> 73.76999855
## X2003 <NA> <NA> 73.5
## X2004 <NA> <NA> 73.07999802
## X2005 <NA> <NA> 72.76999855
## X2006 <NA> <NA> 72.48999977
## X2007 <NA> <NA> 72.21000099
## X2008 89.76286564 1.27 71.60000038
## X2009 <NA> <NA> 70.96999931
## X2010 <NA> <NA> 70.20000076
## X2011 <NA> <NA> 69.40000153
## X2012 <NA> <NA> 68.33000183
## X2013 <NA> <NA> 67.22999763
## X2014 92.86377382 <NA> 65.88999939
## X2015 <NA> <NA> 64.99000168
## X2016 <NA> <NA> 64.82999802
## X2017 <NA> <NA> 63.81999969
## X2018 <NA> <NA> 63.01999855
## X2019 <NA> <NA> 62.20000172
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.EMP.1524.SP.NE.ZS SL.UEM.TOTL.MA.NE.ZS SL.UEM.1524.NE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 <NA> <NA> <NA>
## X1992 <NA> <NA> <NA>
## X1993 <NA> <NA> <NA>
## X1994 <NA> <NA> <NA>
## X1995 <NA> <NA> <NA>
## X1996 <NA> <NA> <NA>
## X1997 <NA> <NA> <NA>
## X1998 <NA> <NA> <NA>
## X1999 <NA> 2.029999971 2.980000019
## X2000 <NA> <NA> <NA>
## X2001 <NA> <NA> <NA>
## X2002 <NA> <NA> <NA>
## X2003 <NA> <NA> <NA>
## X2004 <NA> <NA> <NA>
## X2005 <NA> <NA> <NA>
## X2006 <NA> <NA> <NA>
## X2007 <NA> <NA> <NA>
## X2008 74.26000214 1.590000033 2.180000067
## X2009 <NA> <NA> <NA>
## X2010 <NA> <NA> <NA>
## X2011 <NA> <NA> <NA>
## X2012 <NA> <NA> <NA>
## X2013 <NA> <NA> <NA>
## X2014 <NA> <NA> <NA>
## X2015 <NA> 3.400000095 <NA>
## X2016 <NA> <NA> <NA>
## X2017 23.45000076 9.789999962 20.53000069
## X2018 <NA> <NA> <NA>
## X2019 <NA> <NA> <NA>
## X2020 <NA> <NA> <NA>
## X2021 <NA> <NA> <NA>
## SL.IND.EMPL.MA.ZS SL.EMP.TOTL.SP.NE.ZS SL.EMP.1524.SP.FE.ZS
## X1960 <NA> <NA> <NA>
## X1961 <NA> <NA> <NA>
## X1962 <NA> <NA> <NA>
## X1963 <NA> <NA> <NA>
## X1964 <NA> <NA> <NA>
## X1965 <NA> <NA> <NA>
## X1966 <NA> <NA> <NA>
## X1967 <NA> <NA> <NA>
## X1968 <NA> <NA> <NA>
## X1969 <NA> <NA> <NA>
## X1970 <NA> <NA> <NA>
## X1971 <NA> <NA> <NA>
## X1972 <NA> <NA> <NA>
## X1973 <NA> <NA> <NA>
## X1974 <NA> <NA> <NA>
## X1975 <NA> <NA> <NA>
## X1976 <NA> <NA> <NA>
## X1977 <NA> <NA> <NA>
## X1978 <NA> <NA> <NA>
## X1979 <NA> <NA> <NA>
## X1980 <NA> <NA> <NA>
## X1981 <NA> <NA> <NA>
## X1982 <NA> <NA> <NA>
## X1983 <NA> <NA> <NA>
## X1984 <NA> <NA> <NA>
## X1985 <NA> <NA> <NA>
## X1986 <NA> <NA> <NA>
## X1987 <NA> <NA> <NA>
## X1988 <NA> <NA> <NA>
## X1989 <NA> <NA> <NA>
## X1990 <NA> <NA> <NA>
## X1991 3.99000001 <NA> 77.31400299
## X1992 4.659999847 <NA> 77.53700256
## X1993 5.420000076 <NA> 77.78900146
## X1994 6.440000057 <NA> 78.02400208
## X1995 7.519999981 <NA> 78.37200165
## X1996 8.850000381 67.19999695 78.31099701
## X1997 10.43999958 <NA> 78.29299927
## X1998 12.18999958 <NA> 78.32099915
## X1999 14.34000015 84.25 78.36199951
## X2000 15.30000019 <NA> 77.87400055
## X2001 15.94999981 <NA> 77.41100311
## X2002 16.20999908 <NA> 76.95899963
## X2003 16.65999985 91.59999847 76.42099762
## X2004 17.03000069 <NA> 75.89299774
## X2005 17.28000069 <NA> 75.36799622
## X2006 17.51000023 <NA> 74.81199646
## X2007 17.70000076 <NA> 74.24199677
## X2008 18.17000008 82.22000122 73.63600159
## X2009 18.44000053 <NA> 73.22499847
## X2010 18.81999969 <NA> 72.85800171
## X2011 19.19000053 <NA> 72.68900299
## X2012 19.79999924 <NA> 72.72899628
## X2013 20.45000076 78.40000153 72.94799805
## X2014 21.20999908 79.80000305 73.08499908
## X2015 21.67000008 <NA> 73.22699738
## X2016 21.59000015 <NA> 73.87400055
## X2017 22.34000015 35.65999985 73.99099731
## X2018 22.87999916 <NA> 74.17900085
## X2019 23.30999947 <NA> 74.17900085
## X2020 <NA> <NA> 64.13600159
## X2021 <NA> <NA> 67.24099731
## SL.WAG.0714.FE.ZS SL.UEM.ADVN.ZS SL.MNF.0714.ZS SL.EMP.VULN.ZS
## X1960 <NA> <NA> <NA> <NA>
## X1961 <NA> <NA> <NA> <NA>
## X1962 <NA> <NA> <NA> <NA>
## X1963 <NA> <NA> <NA> <NA>
## X1964 <NA> <NA> <NA> <NA>
## X1965 <NA> <NA> <NA> <NA>
## X1966 <NA> <NA> <NA> <NA>
## X1967 <NA> <NA> <NA> <NA>
## X1968 <NA> <NA> <NA> <NA>
## X1969 <NA> <NA> <NA> <NA>
## X1970 <NA> <NA> <NA> <NA>
## X1971 <NA> <NA> <NA> <NA>
## X1972 <NA> <NA> <NA> <NA>
## X1973 <NA> <NA> <NA> <NA>
## X1974 <NA> <NA> <NA> <NA>
## X1975 <NA> <NA> <NA> <NA>
## X1976 <NA> <NA> <NA> <NA>
## X1977 <NA> <NA> <NA> <NA>
## X1978 <NA> <NA> <NA> <NA>
## X1979 <NA> <NA> <NA> <NA>
## X1980 <NA> <NA> <NA> <NA>
## X1981 <NA> <NA> <NA> <NA>
## X1982 <NA> <NA> <NA> <NA>
## X1983 <NA> <NA> <NA> <NA>
## X1984 <NA> <NA> <NA> <NA>
## X1985 <NA> <NA> <NA> <NA>
## X1986 <NA> <NA> <NA> <NA>
## X1987 <NA> <NA> <NA> <NA>
## X1988 <NA> <NA> <NA> <NA>
## X1989 <NA> <NA> <NA> <NA>
## X1990 <NA> <NA> <NA> <NA>
## X1991 <NA> <NA> <NA> 84.54999924
## X1992 <NA> <NA> <NA> 84.49999809
## X1993 <NA> <NA> <NA> 84.45000076
## X1994 <NA> <NA> <NA> 84.29000092
## X1995 <NA> <NA> <NA> 84.21999741
## X1996 <NA> <NA> <NA> 84.07999802
## X1997 <NA> <NA> <NA> 83.91999817
## X1998 <NA> <NA> <NA> 83.81999969
## X1999 2.7 <NA> 1.38 83.63999939
## X2000 <NA> <NA> <NA> 83.33000183
## X2001 <NA> <NA> <NA> 83.02000046
## X2002 <NA> <NA> <NA> 83.02999878
## X2003 <NA> <NA> <NA> 82.84000015
## X2004 <NA> <NA> <NA> 82.56999969
## X2005 <NA> <NA> <NA> 82.34999847
## X2006 <NA> <NA> <NA> 82.13999939
## X2007 <NA> <NA> <NA> 81.93999863
## X2008 1.69 5.039999962 1.39 81.52999878
## X2009 <NA> <NA> <NA> 81.14999771
## X2010 <NA> <NA> <NA> 80.70999908
## X2011 <NA> <NA> <NA> 80.34000015
## X2012 <NA> <NA> <NA> 79.85000229
## X2013 <NA> <NA> <NA> 79.36999893
## X2014 <NA> <NA> <NA> 78.72000122
## X2015 <NA> <NA> <NA> 78.27999878
## X2016 <NA> <NA> <NA> 78.13000107
## X2017 <NA> 8.319999695 <NA> 77.5
## X2018 <NA> <NA> <NA> 76.93000031
## X2019 <NA> <NA> <NA> 76.31000137
## X2020 <NA> <NA> <NA> <NA>
## X2021 <NA> <NA> <NA> <NA>
## SL.EMP.1524.SP.ZS
## X1960 <NA>
## X1961 <NA>
## X1962 <NA>
## X1963 <NA>
## X1964 <NA>
## X1965 <NA>
## X1966 <NA>
## X1967 <NA>
## X1968 <NA>
## X1969 <NA>
## X1970 <NA>
## X1971 <NA>
## X1972 <NA>
## X1973 <NA>
## X1974 <NA>
## X1975 <NA>
## X1976 <NA>
## X1977 <NA>
## X1978 <NA>
## X1979 <NA>
## X1980 <NA>
## X1981 <NA>
## X1982 <NA>
## X1983 <NA>
## X1984 <NA>
## X1985 <NA>
## X1986 <NA>
## X1987 <NA>
## X1988 <NA>
## X1989 <NA>
## X1990 <NA>
## X1991 79.17900085
## X1992 79.26300049
## X1993 79.33399963
## X1994 79.35600281
## X1995 79.52400208
## X1996 79.40699768
## X1997 79.34600067
## X1998 79.32800293
## X1999 79.29199982
## X2000 78.78800201
## X2001 78.26300049
## X2002 77.75800323
## X2003 77.15200043
## X2004 76.5719986
## X2005 76.0039978
## X2006 75.43000031
## X2007 74.83799744
## X2008 74.20500183
## X2009 73.51300049
## X2010 72.80799866
## X2011 72.27100372
## X2012 71.84600067
## X2013 71.56199646
## X2014 71.19999695
## X2015 70.92199707
## X2016 71.19400024
## X2017 70.91300201
## X2018 70.87200165
## X2019 70.73799896
## X2020 61.81600189
## X2021 63.98600006# Converting columns to numeric types
#nepal_df$TM.TAX.MRCH.WM.AR.ZS = as.numeric(as.character(nepal_df$TM.TAX.MRCH.WM.AR.ZS))
#nepal_df$NY.GDP.PETR.RT.ZS = as.numeric(as.character(nepal_df$NY.GDP.PETR.RT.ZS))
nepal_df[1:dim(nepal_df)[2]] <- sapply(nepal_df[1:dim(nepal_df)[2]],as.numeric)
sapply(nepal_df, class)## YEAR TM.TAX.MRCH.WM.AR.ZS TM.TAX.MRCH.IP.ZS
## "numeric" "numeric" "numeric"
## NY.TAX.NIND.KN TM.TAX.TCOM.BC.ZS TM.TAX.MANF.BC.ZS
## "numeric" "numeric" "numeric"
## GC.TAX.INTT.RV.ZS TM.TAX.MRCH.WM.FN.ZS TM.TAX.MRCH.SM.AR.ZS
## "numeric" "numeric" "numeric"
## TM.TAX.TCOM.IP.ZS TM.TAX.MANF.IP.ZS IC.TAX.GIFT.ZS
## "numeric" "numeric" "numeric"
## GC.TAX.TOTL.GD.ZS GC.TAX.GSRV.VA.ZS IC.TAX.LABR.CP.ZS
## "numeric" "numeric" "numeric"
## GC.TAX.YPKG.CN TM.TAX.MRCH.BR.ZS NY.TAX.NIND.CN
## "numeric" "numeric" "numeric"
## TM.TAX.MRCH.SR.ZS IC.TAX.OTHR.CP.ZS GC.TAX.YPKG.ZS
## "numeric" "numeric" "numeric"
## GC.TAX.IMPT.ZS GC.TAX.OTHR.CN GC.TAX.IMPT.CN
## "numeric" "numeric" "numeric"
## TM.TAX.TCOM.WM.AR.ZS TM.TAX.MANF.WM.AR.ZS IC.TAX.PAYM
## "numeric" "numeric" "numeric"
## GC.TAX.EXPT.CN IC.TAX.TOTL.CP.ZS IC.FRM.INFM.ZS
## "numeric" "numeric" "numeric"
## GC.TAX.GSRV.CN GC.TAX.INTT.CN TM.TAX.TCOM.WM.FN.ZS
## "numeric" "numeric" "numeric"
## TM.TAX.MANF.WM.FN.ZS TM.TAX.MRCH.SM.FN.ZS TM.TAX.TCOM.SM.AR.ZS
## "numeric" "numeric" "numeric"
## TM.TAX.MANF.SM.AR.ZS IC.FRM.METG.ZS GC.TAX.GSRV.RV.ZS
## "numeric" "numeric" "numeric"
## TM.TAX.MRCH.BC.ZS NY.TAX.NIND.CD TM.TAX.TCOM.SM.FN.ZS
## "numeric" "numeric" "numeric"
## TM.TAX.MANF.SM.FN.ZS IC.TAX.METG GC.TAX.YPKG.RV.ZS
## "numeric" "numeric" "numeric"
## IC.TAX.DURS GC.TAX.TOTL.CN TM.TAX.TCOM.BR.ZS
## "numeric" "numeric" "numeric"
## TM.TAX.MANF.BR.ZS TM.TAX.TCOM.SR.ZS TM.TAX.MANF.SR.ZS
## "numeric" "numeric" "numeric"
## IC.TAX.PRFT.CP.ZS GC.TAX.EXPT.ZS GC.TAX.OTHR.RV.ZS
## "numeric" "numeric" "numeric"
## TG.VAL.TOTL.GD.ZS NY.GDP.MKTP.KD NY.GDP.COAL.RT.ZS
## "numeric" "numeric" "numeric"
## NY.GDP.PCAP.PP.KD NY.GDP.MINR.RT.ZS NY.GDP.MKTP.KN
## "numeric" "numeric" "numeric"
## NY.GDP.DEFL.KD.ZG.AD NV.SRV.TOTL.ZS ER.GDP.FWTL.M3.KD
## "numeric" "numeric" "numeric"
## BX.TRF.PWKR.DT.GD.ZS SL.GDP.PCAP.EM.KD SE.XPD.TERT.PC.ZS
## "numeric" "numeric" "numeric"
## NY.GDS.TOTL.ZS NY.GDP.MKTP.KD.ZG NY.GDP.DEFL.KD.ZG
## "numeric" "numeric" "numeric"
## SH.XPD.CHEX.GD.ZS SE.XPD.PRIM.PC.ZS NY.GDP.PETR.RT.ZS
## "numeric" "numeric" "numeric"
## NY.GDP.MKTP.CD NE.DAB.TOTL.ZS SH.XPD.GHED.GD.ZS
## "numeric" "numeric" "numeric"
## SE.XPD.TOTL.GD.ZS PA.NUS.PPPC.RF NY.GDP.MKTP.PP.KD
## "numeric" "numeric" "numeric"
## NY.GDP.DEFL.ZS.AD NE.GDI.TOTL.ZS GC.TAX.TOTL.GD.ZS
## "numeric" "numeric" "numeric"
## FS.AST.DOMS.GD.ZS FM.AST.PRVT.GD.ZS EN.ATM.CO2E.KD.GD
## "numeric" "numeric" "numeric"
## NY.GDP.PCAP.PP.CD NY.GDP.FRST.RT.ZS NE.GDI.FTOT.ZS
## "numeric" "numeric" "numeric"
## SE.XPD.SECO.PC.ZS NY.GDP.MKTP.CN.AD NV.IND.MANF.ZS
## "numeric" "numeric" "numeric"
## NE.TRD.GNFS.ZS GC.REV.XGRT.GD.ZS GB.XPD.RSDV.GD.ZS
## "numeric" "numeric" "numeric"
## EG.USE.COMM.GD.PP.KD GC.NLD.TOTL.GD.ZS BN.CAB.XOKA.GD.ZS
## "numeric" "numeric" "numeric"
## BG.GSR.NFSV.GD.ZS NE.CON.PRVT.ZS GC.LBL.TOTL.GD.ZS
## "numeric" "numeric" "numeric"
## FS.AST.PRVT.GD.ZS BM.KLT.DINV.WD.GD.ZS NY.GDP.PCAP.KD
## "numeric" "numeric" "numeric"
## NY.GDP.FCST.CN FS.AST.CGOV.GD.ZS EN.ATM.CO2E.PP.GD
## "numeric" "numeric" "numeric"
## EG.GDP.PUSE.KO.PP.KD EG.EGY.PRIM.PP.KD GC.NFN.TOTL.GD.ZS
## "numeric" "numeric" "numeric"
## FM.LBL.BMNY.GD.ZS NY.GDP.PCAP.KD.ZG NY.GDP.FCST.KD
## "numeric" "numeric" "numeric"
## NY.GDP.TOTL.RT.ZS NY.GDP.MKTP.CN NE.RSB.GNFS.ZS
## "numeric" "numeric" "numeric"
## MS.MIL.XPND.GD.ZS NY.GDP.NGAS.RT.ZS NY.GDP.DISC.CN
## "numeric" "numeric" "numeric"
## NV.IND.TOTL.ZS NE.GDI.FPRV.ZS GC.DOD.TOTL.GD.ZS
## "numeric" "numeric" "numeric"
## FS.AST.DOMO.GD.ZS EN.ATM.CO2E.PP.GD.KD BX.KLT.DINV.WD.GD.ZS
## "numeric" "numeric" "numeric"
## NY.GDP.PCAP.KN NY.GDP.FCST.KN NE.IMP.GNFS.ZS
## "numeric" "numeric" "numeric"
## NY.GNS.ICTR.ZS NY.GDP.PCAP.CD NY.GDP.DISC.KN
## "numeric" "numeric" "numeric"
## NV.AGR.TOTL.ZS CM.MKT.TRAD.GD.ZS CM.MKT.LCAP.GD.ZS
## "numeric" "numeric" "numeric"
## PA.NUS.PPP NY.GDP.MKTP.PP.CD NY.GDP.DEFL.ZS
## "numeric" "numeric" "numeric"
## NE.EXP.GNFS.ZS NY.GDP.PCAP.CN NY.GDP.FCST.CD
## "numeric" "numeric" "numeric"
## NE.CON.TOTL.ZS GC.AST.TOTL.GD.ZS EG.GDP.PUSE.KO.PP
## "numeric" "numeric" "numeric"
## NE.CON.GOVT.ZS GC.XPN.TOTL.GD.ZS FD.AST.PRVT.GD.ZS
## "numeric" "numeric" "numeric"
## SL.UEM.NEET.ZS SL.UEM.1524.FE.ZS SL.SRV.EMPL.ZS
## "numeric" "numeric" "numeric"
## SL.FAM.WORK.ZS SL.EMP.TOTL.SP.FE.ZS SL.AGR.EMPL.MA.ZS
## "numeric" "numeric" "numeric"
## per_lm_alllm.cov_q5_tot SL.UEM.INTM.MA.ZS SL.TLF.PART.ZS
## "numeric" "numeric" "numeric"
## SL.TLF.0714.WK.MA.ZS SL.SRV.0714.MA.ZS SL.FAM.0714.MA.ZS
## "numeric" "numeric" "numeric"
## SL.EMP.SELF.MA.ZS SL.AGR.0714.FE.ZS per_lm_alllm.cov_q1_tot
## "numeric" "numeric" "numeric"
## SL.UEM.TOTL.FE.ZS SL.UEM.1524.MA.ZS SL.TLF.0714.MA.ZS
## "numeric" "numeric" "numeric"
## SL.IND.EMPL.FE.ZS SL.EMP.TOTL.SP.MA.ZS SL.EMP.1524.SP.FE.NE.ZS
## "numeric" "numeric" "numeric"
## SL.UEM.TOTL.FE.NE.ZS SL.UEM.1524.MA.NE.ZS SL.TLF.0714.FE.ZS
## "numeric" "numeric" "numeric"
## SL.EMP.TOTL.SP.MA.NE.ZS SL.AGR.EMPL.ZS SL.UEM.INTM.ZS
## "numeric" "numeric" "numeric"
## SL.SRV.0714.ZS SL.FAM.0714.ZS SL.EMP.SELF.ZS
## "numeric" "numeric" "numeric"
## SL.AGR.0714.MA.ZS per_lm_alllm.cov_q2_tot SL.UEM.TOTL.MA.ZS
## "numeric" "numeric" "numeric"
## SL.UEM.1524.ZS SL.TLF.0714.SW.FE.ZS SL.IND.EMPL.ZS
## "numeric" "numeric" "numeric"
## SL.EMP.TOTL.SP.ZS SL.EMP.1524.SP.MA.NE.ZS SL.UEM.INTM.FE.ZS
## "numeric" "numeric" "numeric"
## SL.TLF.PART.MA.ZS SL.SRV.0714.FE.ZS SL.FAM.0714.FE.ZS
## "numeric" "numeric" "numeric"
## SL.EMP.SELF.FE.ZS per_lm_alllm.cov_pop_tot SL.UEM.NEET.MA.ZS
## "numeric" "numeric" "numeric"
## SL.UEM.1524.FE.NE.ZS SL.TLF.0714.ZS SL.SRV.EMPL.MA.ZS
## "numeric" "numeric" "numeric"
## SL.FAM.WORK.MA.ZS SL.EMP.TOTL.SP.FE.NE.ZS SL.AGR.EMPL.FE.ZS
## "numeric" "numeric" "numeric"
## per_lm_alllm.cov_q4_tot SL.WAG.0714.MA.ZS SL.UEM.BASC.FE.ZS
## "numeric" "numeric" "numeric"
## SL.TLF.0714.SW.ZS SL.SLF.0714.FE.ZS SL.EMP.WORK.FE.ZS
## "numeric" "numeric" "numeric"
## SL.EMP.MPYR.FE.ZS SL.WAG.0714.ZS SL.UEM.BASC.MA.ZS
## "numeric" "numeric" "numeric"
## SL.SLF.0714.MA.ZS SL.EMP.WORK.MA.ZS SL.EMP.MPYR.MA.ZS
## "numeric" "numeric" "numeric"
## per_lm_alllm.adq_pop_tot SL.UEM.NEET.FE.ZS SL.TLF.0714.WK.ZS
## "numeric" "numeric" "numeric"
## SL.SRV.EMPL.FE.ZS SL.FAM.WORK.FE.ZS SL.EMP.SMGT.FE.ZS
## "numeric" "numeric" "numeric"
## SL.AGR.0714.ZS per_lm_alllm.cov_q3_tot SL.UEM.TOTL.NE.ZS
## "numeric" "numeric" "numeric"
## SL.UEM.ADVN.FE.ZS SL.MNF.0714.FE.ZS SL.EMP.VULN.FE.ZS
## "numeric" "numeric" "numeric"
## SL.EMP.1524.SP.MA.ZS SL.UEM.BASC.ZS SL.TLF.PART.FE.ZS
## "numeric" "numeric" "numeric"
## SL.TLF.0714.WK.FE.ZS SL.SLF.0714.ZS SL.EMP.WORK.ZS
## "numeric" "numeric" "numeric"
## SL.EMP.MPYR.ZS per_lm_alllm.ben_q1_tot SL.UEM.TOTL.ZS
## "numeric" "numeric" "numeric"
## SL.UEM.ADVN.MA.ZS SL.TLF.0714.SW.MA.ZS SL.MNF.0714.MA.ZS
## "numeric" "numeric" "numeric"
## SL.EMP.VULN.MA.ZS SL.EMP.1524.SP.NE.ZS SL.UEM.TOTL.MA.NE.ZS
## "numeric" "numeric" "numeric"
## SL.UEM.1524.NE.ZS SL.IND.EMPL.MA.ZS SL.EMP.TOTL.SP.NE.ZS
## "numeric" "numeric" "numeric"
## SL.EMP.1524.SP.FE.ZS SL.WAG.0714.FE.ZS SL.UEM.ADVN.ZS
## "numeric" "numeric" "numeric"
## SL.MNF.0714.ZS SL.EMP.VULN.ZS SL.EMP.1524.SP.ZS
## "numeric" "numeric" "numeric"# Check if there are any null values
head(is.na(nepal_df))## YEAR TM.TAX.MRCH.WM.AR.ZS TM.TAX.MRCH.IP.ZS NY.TAX.NIND.KN
## X1960 FALSE TRUE TRUE TRUE
## X1961 FALSE TRUE TRUE TRUE
## X1962 FALSE TRUE TRUE TRUE
## X1963 FALSE TRUE TRUE TRUE
## X1964 FALSE TRUE TRUE TRUE
## X1965 FALSE TRUE TRUE FALSE
## TM.TAX.TCOM.BC.ZS TM.TAX.MANF.BC.ZS GC.TAX.INTT.RV.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## TM.TAX.MRCH.WM.FN.ZS TM.TAX.MRCH.SM.AR.ZS TM.TAX.TCOM.IP.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## TM.TAX.MANF.IP.ZS IC.TAX.GIFT.ZS GC.TAX.TOTL.GD.ZS GC.TAX.GSRV.VA.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## IC.TAX.LABR.CP.ZS GC.TAX.YPKG.CN TM.TAX.MRCH.BR.ZS NY.TAX.NIND.CN
## X1960 TRUE TRUE TRUE FALSE
## X1961 TRUE TRUE TRUE FALSE
## X1962 TRUE TRUE TRUE FALSE
## X1963 TRUE TRUE TRUE FALSE
## X1964 TRUE TRUE TRUE FALSE
## X1965 TRUE TRUE TRUE FALSE
## TM.TAX.MRCH.SR.ZS IC.TAX.OTHR.CP.ZS GC.TAX.YPKG.ZS GC.TAX.IMPT.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## GC.TAX.OTHR.CN GC.TAX.IMPT.CN TM.TAX.TCOM.WM.AR.ZS TM.TAX.MANF.WM.AR.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## IC.TAX.PAYM GC.TAX.EXPT.CN IC.TAX.TOTL.CP.ZS IC.FRM.INFM.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## GC.TAX.GSRV.CN GC.TAX.INTT.CN TM.TAX.TCOM.WM.FN.ZS TM.TAX.MANF.WM.FN.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## TM.TAX.MRCH.SM.FN.ZS TM.TAX.TCOM.SM.AR.ZS TM.TAX.MANF.SM.AR.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## IC.FRM.METG.ZS GC.TAX.GSRV.RV.ZS TM.TAX.MRCH.BC.ZS NY.TAX.NIND.CD
## X1960 TRUE TRUE TRUE FALSE
## X1961 TRUE TRUE TRUE FALSE
## X1962 TRUE TRUE TRUE FALSE
## X1963 TRUE TRUE TRUE FALSE
## X1964 TRUE TRUE TRUE FALSE
## X1965 TRUE TRUE TRUE FALSE
## TM.TAX.TCOM.SM.FN.ZS TM.TAX.MANF.SM.FN.ZS IC.TAX.METG GC.TAX.YPKG.RV.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## IC.TAX.DURS GC.TAX.TOTL.CN TM.TAX.TCOM.BR.ZS TM.TAX.MANF.BR.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## TM.TAX.TCOM.SR.ZS TM.TAX.MANF.SR.ZS IC.TAX.PRFT.CP.ZS GC.TAX.EXPT.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## GC.TAX.OTHR.RV.ZS TG.VAL.TOTL.GD.ZS NY.GDP.MKTP.KD NY.GDP.COAL.RT.ZS
## X1960 TRUE FALSE FALSE TRUE
## X1961 TRUE FALSE FALSE TRUE
## X1962 TRUE FALSE FALSE TRUE
## X1963 TRUE FALSE FALSE TRUE
## X1964 TRUE FALSE FALSE TRUE
## X1965 TRUE FALSE FALSE TRUE
## NY.GDP.PCAP.PP.KD NY.GDP.MINR.RT.ZS NY.GDP.MKTP.KN NY.GDP.DEFL.KD.ZG.AD
## X1960 TRUE TRUE FALSE TRUE
## X1961 TRUE TRUE FALSE TRUE
## X1962 TRUE TRUE FALSE TRUE
## X1963 TRUE TRUE FALSE TRUE
## X1964 TRUE TRUE FALSE TRUE
## X1965 TRUE TRUE FALSE TRUE
## NV.SRV.TOTL.ZS ER.GDP.FWTL.M3.KD BX.TRF.PWKR.DT.GD.ZS SL.GDP.PCAP.EM.KD
## X1960 FALSE TRUE TRUE TRUE
## X1961 FALSE TRUE TRUE TRUE
## X1962 FALSE TRUE TRUE TRUE
## X1963 FALSE TRUE TRUE TRUE
## X1964 FALSE TRUE TRUE TRUE
## X1965 FALSE TRUE TRUE TRUE
## SE.XPD.TERT.PC.ZS NY.GDS.TOTL.ZS NY.GDP.MKTP.KD.ZG NY.GDP.DEFL.KD.ZG
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE FALSE FALSE
## X1962 TRUE TRUE FALSE FALSE
## X1963 TRUE TRUE FALSE FALSE
## X1964 TRUE TRUE FALSE FALSE
## X1965 TRUE TRUE FALSE FALSE
## SH.XPD.CHEX.GD.ZS SE.XPD.PRIM.PC.ZS NY.GDP.PETR.RT.ZS NY.GDP.MKTP.CD
## X1960 TRUE TRUE TRUE FALSE
## X1961 TRUE TRUE TRUE FALSE
## X1962 TRUE TRUE TRUE FALSE
## X1963 TRUE TRUE TRUE FALSE
## X1964 TRUE TRUE TRUE FALSE
## X1965 TRUE TRUE TRUE FALSE
## NE.DAB.TOTL.ZS SH.XPD.GHED.GD.ZS SE.XPD.TOTL.GD.ZS PA.NUS.PPPC.RF
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## NY.GDP.MKTP.PP.KD NY.GDP.DEFL.ZS.AD NE.GDI.TOTL.ZS GC.TAX.TOTL.GD.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE FALSE TRUE
## FS.AST.DOMS.GD.ZS FM.AST.PRVT.GD.ZS EN.ATM.CO2E.KD.GD NY.GDP.PCAP.PP.CD
## X1960 TRUE FALSE TRUE TRUE
## X1961 TRUE FALSE TRUE TRUE
## X1962 TRUE FALSE TRUE TRUE
## X1963 TRUE FALSE TRUE TRUE
## X1964 TRUE FALSE TRUE TRUE
## X1965 TRUE FALSE TRUE TRUE
## NY.GDP.FRST.RT.ZS NE.GDI.FTOT.ZS SE.XPD.SECO.PC.ZS NY.GDP.MKTP.CN.AD
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## NV.IND.MANF.ZS NE.TRD.GNFS.ZS GC.REV.XGRT.GD.ZS GB.XPD.RSDV.GD.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 FALSE FALSE TRUE TRUE
## EG.USE.COMM.GD.PP.KD GC.NLD.TOTL.GD.ZS BN.CAB.XOKA.GD.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## BG.GSR.NFSV.GD.ZS NE.CON.PRVT.ZS GC.LBL.TOTL.GD.ZS FS.AST.PRVT.GD.ZS
## X1960 TRUE TRUE TRUE FALSE
## X1961 TRUE TRUE TRUE FALSE
## X1962 TRUE TRUE TRUE FALSE
## X1963 TRUE TRUE TRUE FALSE
## X1964 TRUE TRUE TRUE FALSE
## X1965 TRUE TRUE TRUE FALSE
## BM.KLT.DINV.WD.GD.ZS NY.GDP.PCAP.KD NY.GDP.FCST.CN FS.AST.CGOV.GD.ZS
## X1960 TRUE FALSE FALSE FALSE
## X1961 TRUE FALSE FALSE FALSE
## X1962 TRUE FALSE FALSE FALSE
## X1963 TRUE FALSE FALSE FALSE
## X1964 TRUE FALSE FALSE FALSE
## X1965 TRUE FALSE FALSE FALSE
## EN.ATM.CO2E.PP.GD EG.GDP.PUSE.KO.PP.KD EG.EGY.PRIM.PP.KD
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## GC.NFN.TOTL.GD.ZS FM.LBL.BMNY.GD.ZS NY.GDP.PCAP.KD.ZG NY.GDP.FCST.KD
## X1960 TRUE FALSE TRUE TRUE
## X1961 TRUE FALSE FALSE TRUE
## X1962 TRUE FALSE FALSE TRUE
## X1963 TRUE FALSE FALSE TRUE
## X1964 TRUE FALSE FALSE TRUE
## X1965 TRUE FALSE FALSE FALSE
## NY.GDP.TOTL.RT.ZS NY.GDP.MKTP.CN NE.RSB.GNFS.ZS MS.MIL.XPND.GD.ZS
## X1960 TRUE FALSE TRUE TRUE
## X1961 TRUE FALSE TRUE TRUE
## X1962 TRUE FALSE TRUE TRUE
## X1963 TRUE FALSE TRUE TRUE
## X1964 TRUE FALSE TRUE TRUE
## X1965 TRUE FALSE FALSE TRUE
## NY.GDP.NGAS.RT.ZS NY.GDP.DISC.CN NV.IND.TOTL.ZS NE.GDI.FPRV.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE FALSE TRUE
## GC.DOD.TOTL.GD.ZS FS.AST.DOMO.GD.ZS EN.ATM.CO2E.PP.GD.KD
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## BX.KLT.DINV.WD.GD.ZS NY.GDP.PCAP.KN NY.GDP.FCST.KN NE.IMP.GNFS.ZS
## X1960 TRUE FALSE TRUE TRUE
## X1961 TRUE FALSE TRUE TRUE
## X1962 TRUE FALSE TRUE TRUE
## X1963 TRUE FALSE TRUE TRUE
## X1964 TRUE FALSE TRUE TRUE
## X1965 TRUE FALSE FALSE FALSE
## NY.GNS.ICTR.ZS NY.GDP.PCAP.CD NY.GDP.DISC.KN NV.AGR.TOTL.ZS
## X1960 TRUE FALSE TRUE TRUE
## X1961 TRUE FALSE TRUE TRUE
## X1962 TRUE FALSE TRUE TRUE
## X1963 TRUE FALSE TRUE TRUE
## X1964 TRUE FALSE TRUE TRUE
## X1965 TRUE FALSE TRUE FALSE
## CM.MKT.TRAD.GD.ZS CM.MKT.LCAP.GD.ZS PA.NUS.PPP NY.GDP.MKTP.PP.CD
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## NY.GDP.DEFL.ZS NE.EXP.GNFS.ZS NY.GDP.PCAP.CN NY.GDP.FCST.CD
## X1960 FALSE TRUE FALSE FALSE
## X1961 FALSE TRUE FALSE FALSE
## X1962 FALSE TRUE FALSE FALSE
## X1963 FALSE TRUE FALSE FALSE
## X1964 FALSE TRUE FALSE FALSE
## X1965 FALSE FALSE FALSE FALSE
## NE.CON.TOTL.ZS GC.AST.TOTL.GD.ZS EG.GDP.PUSE.KO.PP NE.CON.GOVT.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## GC.XPN.TOTL.GD.ZS FD.AST.PRVT.GD.ZS SL.UEM.NEET.ZS SL.UEM.1524.FE.ZS
## X1960 TRUE FALSE TRUE TRUE
## X1961 TRUE FALSE TRUE TRUE
## X1962 TRUE FALSE TRUE TRUE
## X1963 TRUE FALSE TRUE TRUE
## X1964 TRUE FALSE TRUE TRUE
## X1965 TRUE FALSE TRUE TRUE
## SL.SRV.EMPL.ZS SL.FAM.WORK.ZS SL.EMP.TOTL.SP.FE.ZS SL.AGR.EMPL.MA.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## per_lm_alllm.cov_q5_tot SL.UEM.INTM.MA.ZS SL.TLF.PART.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.TLF.0714.WK.MA.ZS SL.SRV.0714.MA.ZS SL.FAM.0714.MA.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.EMP.SELF.MA.ZS SL.AGR.0714.FE.ZS per_lm_alllm.cov_q1_tot
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.UEM.TOTL.FE.ZS SL.UEM.1524.MA.ZS SL.TLF.0714.MA.ZS SL.IND.EMPL.FE.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## SL.EMP.TOTL.SP.MA.ZS SL.EMP.1524.SP.FE.NE.ZS SL.UEM.TOTL.FE.NE.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.UEM.1524.MA.NE.ZS SL.TLF.0714.FE.ZS SL.EMP.TOTL.SP.MA.NE.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.AGR.EMPL.ZS SL.UEM.INTM.ZS SL.SRV.0714.ZS SL.FAM.0714.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## SL.EMP.SELF.ZS SL.AGR.0714.MA.ZS per_lm_alllm.cov_q2_tot
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.UEM.TOTL.MA.ZS SL.UEM.1524.ZS SL.TLF.0714.SW.FE.ZS SL.IND.EMPL.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## SL.EMP.TOTL.SP.ZS SL.EMP.1524.SP.MA.NE.ZS SL.UEM.INTM.FE.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.TLF.PART.MA.ZS SL.SRV.0714.FE.ZS SL.FAM.0714.FE.ZS SL.EMP.SELF.FE.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## per_lm_alllm.cov_pop_tot SL.UEM.NEET.MA.ZS SL.UEM.1524.FE.NE.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.TLF.0714.ZS SL.SRV.EMPL.MA.ZS SL.FAM.WORK.MA.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.EMP.TOTL.SP.FE.NE.ZS SL.AGR.EMPL.FE.ZS per_lm_alllm.cov_q4_tot
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.WAG.0714.MA.ZS SL.UEM.BASC.FE.ZS SL.TLF.0714.SW.ZS SL.SLF.0714.FE.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## SL.EMP.WORK.FE.ZS SL.EMP.MPYR.FE.ZS SL.WAG.0714.ZS SL.UEM.BASC.MA.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## SL.SLF.0714.MA.ZS SL.EMP.WORK.MA.ZS SL.EMP.MPYR.MA.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## per_lm_alllm.adq_pop_tot SL.UEM.NEET.FE.ZS SL.TLF.0714.WK.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.SRV.EMPL.FE.ZS SL.FAM.WORK.FE.ZS SL.EMP.SMGT.FE.ZS SL.AGR.0714.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## per_lm_alllm.cov_q3_tot SL.UEM.TOTL.NE.ZS SL.UEM.ADVN.FE.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.MNF.0714.FE.ZS SL.EMP.VULN.FE.ZS SL.EMP.1524.SP.MA.ZS SL.UEM.BASC.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## SL.TLF.PART.FE.ZS SL.TLF.0714.WK.FE.ZS SL.SLF.0714.ZS SL.EMP.WORK.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## SL.EMP.MPYR.ZS per_lm_alllm.ben_q1_tot SL.UEM.TOTL.ZS SL.UEM.ADVN.MA.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## SL.TLF.0714.SW.MA.ZS SL.MNF.0714.MA.ZS SL.EMP.VULN.MA.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.EMP.1524.SP.NE.ZS SL.UEM.TOTL.MA.NE.ZS SL.UEM.1524.NE.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.IND.EMPL.MA.ZS SL.EMP.TOTL.SP.NE.ZS SL.EMP.1524.SP.FE.ZS
## X1960 TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE
## SL.WAG.0714.FE.ZS SL.UEM.ADVN.ZS SL.MNF.0714.ZS SL.EMP.VULN.ZS
## X1960 TRUE TRUE TRUE TRUE
## X1961 TRUE TRUE TRUE TRUE
## X1962 TRUE TRUE TRUE TRUE
## X1963 TRUE TRUE TRUE TRUE
## X1964 TRUE TRUE TRUE TRUE
## X1965 TRUE TRUE TRUE TRUE
## SL.EMP.1524.SP.ZS
## X1960 TRUE
## X1961 TRUE
## X1962 TRUE
## X1963 TRUE
## X1964 TRUE
## X1965 TRUEsum(is.na(nepal_df))## [1] 8909# Replace NA values with 0
#nepal_df["TM.TAX.MRCH.WM.AR.ZS"][is.na(nepal_df["TM.TAX.MRCH.WM.AR.ZS"])] <- 0
#nepal_df["NY.GDP.PETR.RT.ZS"][is.na(nepal_df["NY.GDP.PETR.RT.ZS"])] <- 0
# Replace na values with 0 using is.na()
nepal_df[is.na(nepal_df)] <- 0nepal_df## YEAR TM.TAX.MRCH.WM.AR.ZS TM.TAX.MRCH.IP.ZS NY.TAX.NIND.KN
## X1960 1960 0.00 0.00000 0
## X1961 1961 0.00 0.00000 0
## X1962 1962 0.00 0.00000 0
## X1963 1963 0.00 0.00000 0
## X1964 1964 0.00 0.00000 0
## X1965 1965 0.00 0.00000 1075144628
## X1966 1966 0.00 0.00000 1406731222
## X1967 1967 0.00 0.00000 1185673493
## X1968 1968 0.00 0.00000 1446923644
## X1969 1969 0.00 0.00000 3024472246
## X1970 1970 0.00 0.00000 -1115337050
## X1971 1971 0.00 0.00000 2481876086
## X1972 1972 0.00 0.00000 4049376524
## X1973 1973 0.00 0.00000 3225433883
## X1974 1974 0.00 0.00000 6511156281
## X1975 1975 0.00 0.00000 9405003569
## X1976 1976 0.00 0.00000 12570149882
## X1977 1977 0.00 0.00000 17604237553
## X1978 1978 0.00 0.00000 20950281283
## X1979 1979 0.00 0.00000 20859818526
## X1980 1980 0.00 0.00000 19654043511
## X1981 1981 0.00 0.00000 23180946411
## X1982 1982 0.00 0.00000 22186183085
## X1983 1983 0.00 0.00000 21432558471
## X1984 1984 0.00 0.00000 22547911341
## X1985 1985 0.00 0.00000 25833616503
## X1986 1986 0.00 0.00000 26400264605
## X1987 1987 0.00 0.00000 27218911058
## X1988 1988 0.00 0.00000 32705876319
## X1989 1989 0.00 0.00000 29809643007
## X1990 1990 0.00 0.00000 32075085848
## X1991 1991 0.00 0.00000 33779755004
## X1992 1992 0.00 0.00000 32457472104
## X1993 1993 15.96 56.73497 38102322604
## X1994 1994 0.00 0.00000 44412517305
## X1995 1995 0.00 0.00000 51546654806
## X1996 1996 0.00 0.00000 52631847606
## X1997 1997 0.00 0.00000 56691272306
## X1998 1998 20.09 50.15618 56158723806
## X1999 1999 14.01 20.58712 58700888407
## X2000 2000 16.84 18.55528 63282813207
## X2001 2001 0.00 0.00000 66320388207
## X2002 2002 15.45 18.44888 66006375707
## X2003 2003 15.86 19.35049 70331721108
## X2004 2004 15.49 21.48468 76378232809
## X2005 2005 15.40 21.65096 81629088709
## X2006 2006 13.13 19.45306 80394287609
## X2007 2007 13.29 45.03713 90633928910
## X2008 2008 421.50 22.36630 99768623911
## X2009 2009 12.65 45.41185 112000000000
## X2010 2010 13.05 45.86365 125000000000
## X2011 2011 12.45 48.90406 123000000000
## X2012 2012 12.45 22.64935 125000000000
## X2013 2013 15.04 40.18724 136000000000
## X2014 2014 10.55 48.15847 148000000000
## X2015 2015 12.31 48.41149 162000000000
## X2016 2016 12.35 48.11775 170000000000
## X2017 2017 0.00 0.00000 192000000000
## X2018 2018 12.36 19.94126 211000000000
## X2019 2019 14.22 19.22991 230000000000
## X2020 2020 11.60 20.06978 226000000000
## X2021 2021 0.00 0.00000 244000000000
## TM.TAX.TCOM.BC.ZS TM.TAX.MANF.BC.ZS GC.TAX.INTT.RV.ZS
## X1960 0.00 0.00 0.00000
## X1961 0.00 0.00 0.00000
## X1962 0.00 0.00 0.00000
## X1963 0.00 0.00 0.00000
## X1964 0.00 0.00 0.00000
## X1965 0.00 0.00 0.00000
## X1966 0.00 0.00 0.00000
## X1967 0.00 0.00 0.00000
## X1968 0.00 0.00 0.00000
## X1969 0.00 0.00 0.00000
## X1970 0.00 0.00 0.00000
## X1971 0.00 0.00 0.00000
## X1972 0.00 0.00 0.00000
## X1973 0.00 0.00 0.00000
## X1974 0.00 0.00 0.00000
## X1975 0.00 0.00 0.00000
## X1976 0.00 0.00 0.00000
## X1977 0.00 0.00 0.00000
## X1978 0.00 0.00 0.00000
## X1979 0.00 0.00 0.00000
## X1980 0.00 0.00 0.00000
## X1981 0.00 0.00 0.00000
## X1982 0.00 0.00 0.00000
## X1983 0.00 0.00 0.00000
## X1984 0.00 0.00 0.00000
## X1985 0.00 0.00 0.00000
## X1986 0.00 0.00 0.00000
## X1987 0.00 0.00 0.00000
## X1988 0.00 0.00 0.00000
## X1989 0.00 0.00 0.00000
## X1990 0.00 0.00 25.62864
## X1991 0.00 0.00 24.20676
## X1992 0.00 0.00 22.94242
## X1993 0.00 0.00 21.80040
## X1994 0.00 0.00 24.76087
## X1995 0.00 0.00 25.95126
## X1996 0.00 0.00 23.31509
## X1997 0.00 0.00 23.55375
## X1998 0.00 0.00 23.11960
## X1999 0.00 0.00 24.37388
## X2000 0.00 0.00 23.49886
## X2001 0.00 0.00 23.72824
## X2002 0.00 0.00 23.04108
## X2003 0.00 0.00 21.89612
## X2004 99.58 99.60 21.88844
## X2005 99.58 99.60 19.04223
## X2006 99.58 99.60 18.24453
## X2007 99.57 99.61 16.34988
## X2008 99.57 99.61 17.45747
## X2009 99.57 99.61 16.14752
## X2010 99.57 99.61 16.28624
## X2011 99.57 99.61 14.46186
## X2012 99.57 99.61 15.22137
## X2013 99.55 99.64 17.20431
## X2014 99.55 99.64 16.80061
## X2015 99.55 99.64 16.63160
## X2016 99.55 99.64 15.68282
## X2017 0.00 0.00 15.75944
## X2018 99.54 99.63 15.79246
## X2019 99.47 99.63 16.03056
## X2020 99.47 99.63 15.81360
## X2021 0.00 0.00 0.00000
## TM.TAX.MRCH.WM.FN.ZS TM.TAX.MRCH.SM.AR.ZS TM.TAX.TCOM.IP.ZS
## X1960 0.00 0.00 0.00000
## X1961 0.00 0.00 0.00000
## X1962 0.00 0.00 0.00000
## X1963 0.00 0.00 0.00000
## X1964 0.00 0.00 0.00000
## X1965 0.00 0.00 0.00000
## X1966 0.00 0.00 0.00000
## X1967 0.00 0.00 0.00000
## X1968 0.00 0.00 0.00000
## X1969 0.00 0.00 0.00000
## X1970 0.00 0.00 0.00000
## X1971 0.00 0.00 0.00000
## X1972 0.00 0.00 0.00000
## X1973 0.00 0.00 0.00000
## X1974 0.00 0.00 0.00000
## X1975 0.00 0.00 0.00000
## X1976 0.00 0.00 0.00000
## X1977 0.00 0.00 0.00000
## X1978 0.00 0.00 0.00000
## X1979 0.00 0.00 0.00000
## X1980 0.00 0.00 0.00000
## X1981 0.00 0.00 0.00000
## X1982 0.00 0.00 0.00000
## X1983 0.00 0.00 0.00000
## X1984 0.00 0.00 0.00000
## X1985 0.00 0.00 0.00000
## X1986 0.00 0.00 0.00000
## X1987 0.00 0.00 0.00000
## X1988 0.00 0.00 0.00000
## X1989 0.00 0.00 0.00000
## X1990 0.00 0.00 0.00000
## X1991 0.00 0.00 0.00000
## X1992 0.00 0.00 0.00000
## X1993 15.96 20.87 26.03093
## X1994 0.00 0.00 0.00000
## X1995 0.00 0.00 0.00000
## X1996 0.00 0.00 0.00000
## X1997 0.00 0.00 0.00000
## X1998 20.09 21.67 36.00000
## X1999 14.01 14.36 18.19923
## X2000 16.84 14.41 25.73416
## X2001 0.00 0.00 0.00000
## X2002 15.45 14.66 22.92746
## X2003 15.86 14.87 23.14335
## X2004 15.49 14.82 24.22280
## X2005 15.49 14.72 23.89532
## X2006 13.26 13.11 18.42007
## X2007 13.46 13.05 44.80568
## X2008 421.50 15.07 29.09543
## X2009 12.90 12.77 45.96413
## X2010 13.35 12.98 48.29414
## X2011 12.80 13.15 51.06639
## X2012 12.87 12.85 24.60198
## X2013 15.65 11.82 43.44024
## X2014 11.31 12.66 48.11121
## X2015 13.08 12.63 47.64338
## X2016 13.07 12.65 47.42036
## X2017 0.00 0.00 0.00000
## X2018 13.42 12.79 28.52165
## X2019 15.43 20.20 26.64560
## X2020 12.66 12.10 29.78410
## X2021 0.00 0.00 0.00000
## TM.TAX.MANF.IP.ZS IC.TAX.GIFT.ZS GC.TAX.TOTL.GD.ZS GC.TAX.GSRV.VA.ZS
## X1960 0.00000 0.0 0.000000 0.000000
## X1961 0.00000 0.0 0.000000 0.000000
## X1962 0.00000 0.0 0.000000 0.000000
## X1963 0.00000 0.0 0.000000 0.000000
## X1964 0.00000 0.0 0.000000 0.000000
## X1965 0.00000 0.0 0.000000 0.000000
## X1966 0.00000 0.0 0.000000 0.000000
## X1967 0.00000 0.0 0.000000 0.000000
## X1968 0.00000 0.0 0.000000 0.000000
## X1969 0.00000 0.0 0.000000 0.000000
## X1970 0.00000 0.0 0.000000 0.000000
## X1971 0.00000 0.0 0.000000 0.000000
## X1972 0.00000 0.0 0.000000 0.000000
## X1973 0.00000 0.0 0.000000 0.000000
## X1974 0.00000 0.0 0.000000 0.000000
## X1975 0.00000 0.0 0.000000 0.000000
## X1976 0.00000 0.0 0.000000 0.000000
## X1977 0.00000 0.0 0.000000 0.000000
## X1978 0.00000 0.0 0.000000 0.000000
## X1979 0.00000 0.0 0.000000 0.000000
## X1980 0.00000 0.0 0.000000 0.000000
## X1981 0.00000 0.0 0.000000 0.000000
## X1982 0.00000 0.0 0.000000 0.000000
## X1983 0.00000 0.0 0.000000 0.000000
## X1984 0.00000 0.0 0.000000 0.000000
## X1985 0.00000 0.0 0.000000 0.000000
## X1986 0.00000 0.0 0.000000 0.000000
## X1987 0.00000 0.0 0.000000 0.000000
## X1988 0.00000 0.0 0.000000 0.000000
## X1989 0.00000 0.0 0.000000 0.000000
## X1990 0.00000 0.0 6.996693 7.375947
## X1991 0.00000 0.0 6.620302 6.911035
## X1992 0.00000 0.0 6.483344 6.968780
## X1993 63.02853 0.0 6.654637 6.764000
## X1994 0.00000 0.0 7.729134 7.647324
## X1995 0.00000 0.0 8.985514 8.258410
## X1996 0.00000 0.0 8.719914 8.016257
## X1997 0.00000 0.0 8.723660 7.763240
## X1998 56.96041 0.0 8.639333 7.365103
## X1999 21.21320 0.0 8.422505 6.904100
## X2000 16.97031 0.0 8.735981 7.031443
## X2001 0.00000 0.0 8.802575 6.371072
## X2002 17.52297 0.0 8.560583 6.391161
## X2003 18.56196 0.0 8.651812 6.722883
## X2004 20.90894 0.0 8.974958 6.961714
## X2005 21.16375 0.0 9.179453 7.607888
## X2006 19.60244 0.0 8.779758 7.440960
## X2007 45.07095 0.0 9.772473 8.221877
## X2008 20.78373 0.0 10.440086 8.457498
## X2009 45.29071 14.9 11.844037 10.009752
## X2010 45.33381 0.0 13.396115 12.407214
## X2011 48.47382 0.0 11.624676 10.487461
## X2012 22.24180 0.0 12.040805 10.473829
## X2013 39.67693 10.4 13.297886 11.039213
## X2014 48.17821 0.0 13.994910 11.662401
## X2015 48.56504 0.0 14.686305 12.269070
## X2016 48.25839 0.0 16.143750 13.050688
## X2017 0.00000 0.0 17.999362 13.989350
## X2018 18.46353 0.0 19.082826 16.406759
## X2019 18.02381 0.0 19.809060 16.909200
## X2020 18.52515 0.0 15.773650 10.512350
## X2021 0.00000 0.0 0.000000 0.000000
## IC.TAX.LABR.CP.ZS GC.TAX.YPKG.CN TM.TAX.MRCH.BR.ZS NY.TAX.NIND.CN
## X1960 0.0 0 0.00 54000000
## X1961 0.0 0 0.00 56000000
## X1962 0.0 0 0.00 61000000
## X1963 0.0 0 0.00 64000000
## X1964 0.0 0 0.00 70000000
## X1965 0.0 0 0.00 78000000
## X1966 0.0 0 0.00 178000000
## X1967 0.0 0 0.00 91000000
## X1968 0.0 0 0.00 108000000
## X1969 0.0 0 0.00 161000000
## X1970 0.0 0 0.00 55000000
## X1971 0.0 0 0.00 163000000
## X1972 0.0 0 0.00 239000000
## X1973 0.0 0 0.00 204000000
## X1974 0.0 0 0.00 383000000
## X1975 0.0 0 0.00 635000000
## X1976 0.0 0 0.00 805000000
## X1977 0.0 0 0.00 1025000000
## X1978 0.0 0 0.00 1306000000
## X1979 0.0 0 0.00 1436000000
## X1980 0.0 0 0.00 1464999900
## X1981 0.0 0 0.00 1840999900
## X1982 0.0 0 0.00 1951000100
## X1983 0.0 0 0.00 2116999900
## X1984 0.0 0 0.00 2385999900
## X1985 0.0 0 0.00 2571000000
## X1986 0.0 0 0.00 3007000000
## X1987 0.0 0 0.00 3492000000
## X1988 0.0 0 0.00 4692000000
## X1989 0.0 0 0.00 4758000000
## X1990 0.0 943000000 0.00 5668000000
## X1991 0.0 768000000 0.00 6532000000
## X1992 0.0 875000000 0.00 7487000000
## X1993 0.0 1174000000 0.00 9702000000
## X1994 0.0 1931000000 0.00 12149000000
## X1995 0.0 2751000000 0.00 14261000000
## X1996 0.0 3326000000 0.00 15457000000
## X1997 0.0 3954000000 0.00 17952000000
## X1998 0.0 4576000000 0.00 18943000000
## X1999 0.0 5774000000 0.00 21456000000
## X2000 0.0 6969000000 0.00 23945000000
## X2001 0.0 8517000000 0.00 28090335300
## X2002 0.0 8068000000 0.00 29046000000
## X2003 0.0 6879300000 0.00 31906000000
## X2004 0.0 8123300000 25.94 36050000000
## X2005 11.3 8790400000 25.94 40927000000
## X2006 11.3 9162391000 25.94 42966000000
## X2007 11.3 13723900000 26.00 51968000000
## X2008 11.3 16626800000 26.00 60401000000
## X2009 11.3 24051800000 26.00 78744000000
## X2010 11.3 33821327000 26.00 109000000000
## X2011 11.3 43121246000 26.00 123000000000
## X2012 11.3 51303230000 26.00 140000000000
## X2013 11.3 64186691000 26.26 172000000000
## X2014 11.3 75608249000 26.26 210000000000
## X2015 11.3 86168029438 26.26 237000000000
## X2016 11.3 114000000000 26.26 267000000000
## X2017 11.3 145000000000 0.00 357000000000
## X2018 19.9 155000000000 26.33 445000000000
## X2019 26.2 188000000000 26.33 516000000000
## X2020 0.0 213000000000 26.33 460000000000
## X2021 0.0 0 0.00 615000000000
## TM.TAX.MRCH.SR.ZS IC.TAX.OTHR.CP.ZS GC.TAX.YPKG.ZS GC.TAX.IMPT.ZS
## X1960 0.0000000 0.0 0.000000 0.00000
## X1961 0.0000000 0.0 0.000000 0.00000
## X1962 0.0000000 0.0 0.000000 0.00000
## X1963 0.0000000 0.0 0.000000 0.00000
## X1964 0.0000000 0.0 0.000000 0.00000
## X1965 0.0000000 0.0 0.000000 0.00000
## X1966 0.0000000 0.0 0.000000 0.00000
## X1967 0.0000000 0.0 0.000000 0.00000
## X1968 0.0000000 0.0 0.000000 0.00000
## X1969 0.0000000 0.0 0.000000 0.00000
## X1970 0.0000000 0.0 0.000000 0.00000
## X1971 0.0000000 0.0 0.000000 0.00000
## X1972 0.0000000 0.0 0.000000 0.00000
## X1973 0.0000000 0.0 0.000000 0.00000
## X1974 0.0000000 0.0 0.000000 0.00000
## X1975 0.0000000 0.0 0.000000 0.00000
## X1976 0.0000000 0.0 0.000000 0.00000
## X1977 0.0000000 0.0 0.000000 0.00000
## X1978 0.0000000 0.0 0.000000 0.00000
## X1979 0.0000000 0.0 0.000000 0.00000
## X1980 0.0000000 0.0 0.000000 0.00000
## X1981 0.0000000 0.0 0.000000 0.00000
## X1982 0.0000000 0.0 0.000000 0.00000
## X1983 0.0000000 0.0 0.000000 0.00000
## X1984 0.0000000 0.0 0.000000 0.00000
## X1985 0.0000000 0.0 0.000000 0.00000
## X1986 0.0000000 0.0 0.000000 0.00000
## X1987 0.0000000 0.0 0.000000 0.00000
## X1988 0.0000000 0.0 0.000000 0.00000
## X1989 0.0000000 0.0 0.000000 0.00000
## X1990 0.0000000 0.0 13.032602 36.96671
## X1991 0.0000000 0.0 9.370425 36.18838
## X1992 0.0000000 0.0 8.837491 32.76437
## X1993 1.0833050 0.0 10.041913 32.53785
## X1994 0.0000000 0.0 12.537333 31.34658
## X1995 0.0000000 0.0 13.968721 33.94943
## X1996 0.0000000 0.0 15.323658 33.06611
## X1997 0.0000000 0.0 16.157901 33.16987
## X1998 8.2106200 0.0 17.606094 31.84179
## X1999 1.7424240 0.0 20.043044 31.67870
## X2000 2.0816100 0.0 21.021356 31.19269
## X2001 0.0000000 0.0 21.914319 30.94043
## X2002 0.2909246 0.0 20.513081 29.78058
## X2003 0.2907183 0.0 16.153559 31.38054
## X2004 0.2972189 0.0 16.862765 31.04312
## X2005 0.5855470 1.3 16.246987 27.51752
## X2006 0.5581049 1.3 15.954850 25.41960
## X2007 0.3650990 2.7 19.295005 22.39483
## X2008 0.0000000 2.7 19.525244 24.09184
## X2009 0.3645801 2.9 20.548084 22.01163
## X2010 0.3813659 2.8 21.166722 20.99344
## X2011 0.2817439 3.0 23.790429 19.39029
## X2012 0.3390478 3.0 24.231298 19.32051
## X2013 0.5153311 1.0 24.761951 20.95862
## X2014 0.0000000 1.0 24.199293 20.52298
## X2015 0.8449514 1.1 24.208384 19.81471
## X2016 0.8877350 1.1 27.116100 18.47786
## X2017 0.0000000 1.1 26.151791 17.76788
## X2018 0.2496329 1.1 23.471175 18.44066
## X2019 0.2159827 0.7 24.633623 17.92326
## X2020 0.2147219 0.0 34.763025 19.16977
## X2021 0.0000000 0.0 0.000000 0.00000
## GC.TAX.OTHR.CN GC.TAX.IMPT.CN TM.TAX.TCOM.WM.AR.ZS TM.TAX.MANF.WM.AR.ZS
## X1960 0 0 0.00 0.00
## X1961 0 0 0.00 0.00
## X1962 0 0 0.00 0.00
## X1963 0 0 0.00 0.00
## X1964 0 0 0.00 0.00
## X1965 0 0 0.00 0.00
## X1966 0 0 0.00 0.00
## X1967 0 0 0.00 0.00
## X1968 0 0 0.00 0.00
## X1969 0 0 0.00 0.00
## X1970 0 0 0.00 0.00
## X1971 0 0 0.00 0.00
## X1972 0 0 0.00 0.00
## X1973 0 0 0.00 0.00
## X1974 0 0 0.00 0.00
## X1975 0 0 0.00 0.00
## X1976 0 0 0.00 0.00
## X1977 0 0 0.00 0.00
## X1978 0 0 0.00 0.00
## X1979 0 0 0.00 0.00
## X1980 0 0 0.00 0.00
## X1981 0 0 0.00 0.00
## X1982 0 0 0.00 0.00
## X1983 0 0 0.00 0.00
## X1984 0 0 0.00 0.00
## X1985 0 0 0.00 0.00
## X1986 0 0 0.00 0.00
## X1987 0 0 0.00 0.00
## X1988 0 0 0.00 0.00
## X1989 0 0 0.00 0.00
## X1990 98500000 2674800000 0.00 0.00
## X1991 106000000 2966000000 0.00 0.00
## X1992 87000000 3244000000 0.00 0.00
## X1993 86000000 3804000000 9.24 22.10
## X1994 69000000 4828000000 0.00 0.00
## X1995 69000000 6686000000 0.00 0.00
## X1996 105000000 7177000000 0.00 0.00
## X1997 269000000 8117000000 0.00 0.00
## X1998 436000000 8276000000 17.09 30.35
## X1999 522000000 9126000000 12.00 16.41
## X2000 575000000 10341000000 13.83 20.87
## X2001 605000000 12025000000 0.00 0.00
## X2002 839000000 11713000000 8.96 18.59
## X2003 1252600000 13364000000 9.39 18.99
## X2004 1391200000 14954400000 9.51 18.38
## X2005 1675900000 14888300000 9.35 18.28
## X2006 1771133000 14597713000 11.59 14.34
## X2007 2007900000 15928700000 11.62 14.56
## X2008 2451000000 20515500000 917.75 150.92
## X2009 3195600000 25764900000 11.18 13.79
## X2010 1063759000 33544450000 11.13 14.25
## X2011 1324195000 35145784000 11.08 13.70
## X2012 2908351000 40905969000 10.90 13.78
## X2013 3489525000 54327890000 13.75 15.52
## X2014 4485704000 64121990000 8.08 13.12
## X2015 5508835142 70529058946 11.35 13.17
## X2016 5990203529 77802641716 12.26 12.40
## X2017 27392715000 98410300000 0.00 0.00
## X2018 10465303530 122000000000 11.14 12.77
## X2019 8442841000 137000000000 12.97 14.74
## X2020 6619530000 118000000000 11.45 11.21
## X2021 0 0 0.00 0.00
## IC.TAX.PAYM GC.TAX.EXPT.CN IC.TAX.TOTL.CP.ZS IC.FRM.INFM.ZS
## X1960 0 0 0.0 0
## X1961 0 0 0.0 0
## X1962 0 0 0.0 0
## X1963 0 0 0.0 0
## X1964 0 0 0.0 0
## X1965 0 0 0.0 0
## X1966 0 0 0.0 0
## X1967 0 0 0.0 0
## X1968 0 0 0.0 0
## X1969 0 0 0.0 0
## X1970 0 0 0.0 0
## X1971 0 0 0.0 0
## X1972 0 0 0.0 0
## X1973 0 0 0.0 0
## X1974 0 0 0.0 0
## X1975 0 0 0.0 0
## X1976 0 0 0.0 0
## X1977 0 0 0.0 0
## X1978 0 0 0.0 0
## X1979 0 0 0.0 0
## X1980 0 0 0.0 0
## X1981 0 0 0.0 0
## X1982 0 0 0.0 0
## X1983 0 0 0.0 0
## X1984 0 0 0.0 0
## X1985 0 0 0.0 0
## X1986 0 0 0.0 0
## X1987 0 0 0.0 0
## X1988 0 0 0.0 0
## X1989 0 0 0.0 0
## X1990 0 32200000 0.0 0
## X1991 0 78000000 0.0 0
## X1992 0 115000000 0.0 0
## X1993 0 141000000 0.0 0
## X1994 0 427000000 0.0 0
## X1995 0 332000000 0.0 0
## X1996 0 150000000 0.0 0
## X1997 0 168000000 0.0 0
## X1998 0 217000000 0.0 0
## X1999 0 378000000 0.0 0
## X2000 0 432000000 0.0 0
## X2001 0 493000000 0.0 0
## X2002 0 917000000 0.0 0
## X2003 0 855600000 0.0 0
## X2004 0 527100000 0.0 0
## X2005 34 697900000 32.5 0
## X2006 34 625284000 32.5 0
## X2007 34 698600000 32.8 0
## X2008 34 445600000 34.1 0
## X2009 34 793800000 32.5 0
## X2010 34 915461000 31.7 0
## X2011 34 292395000 31.5 0
## X2012 34 861574000 31.5 0
## X2013 34 439097000 29.9 0
## X2014 34 1069880000 29.9 0
## X2015 34 314849716 29.9 0
## X2016 34 159554771 29.9 0
## X2017 34 125130000 30.0 0
## X2018 39 102360000 37.0 0
## X2019 46 237634000 41.8 0
## X2020 0 112370000 0.0 0
## X2021 0 0 0.0 0
## GC.TAX.GSRV.CN GC.TAX.INTT.CN TM.TAX.TCOM.WM.FN.ZS TM.TAX.MANF.WM.FN.ZS
## X1960 0 0 0.00 0.00
## X1961 0 0 0.00 0.00
## X1962 0 0 0.00 0.00
## X1963 0 0 0.00 0.00
## X1964 0 0 0.00 0.00
## X1965 0 0 0.00 0.00
## X1966 0 0 0.00 0.00
## X1967 0 0 0.00 0.00
## X1968 0 0 0.00 0.00
## X1969 0 0 0.00 0.00
## X1970 0 0 0.00 0.00
## X1971 0 0 0.00 0.00
## X1972 0 0 0.00 0.00
## X1973 0 0 0.00 0.00
## X1974 0 0 0.00 0.00
## X1975 0 0 0.00 0.00
## X1976 0 0 0.00 0.00
## X1977 0 0 0.00 0.00
## X1978 0 0 0.00 0.00
## X1979 0 0 0.00 0.00
## X1980 0 0 0.00 0.00
## X1981 0 0 0.00 0.00
## X1982 0 0 0.00 0.00
## X1983 0 0 0.00 0.00
## X1984 0 0 0.00 0.00
## X1985 0 0 0.00 0.00
## X1986 0 0 0.00 0.00
## X1987 0 0 0.00 0.00
## X1988 0 0 0.00 0.00
## X1989 0 0 0.00 0.00
## X1990 3487200000 2707000000 0.00 0.00
## X1991 4278000000 3044000000 0.00 0.00
## X1992 5580000000 3359000000 0.00 0.00
## X1993 6486000000 3945000000 9.25 22.10
## X1994 8147000000 5255000000 0.00 0.00
## X1995 9856000000 7018000000 0.00 0.00
## X1996 10947000000 7327000000 0.00 0.00
## X1997 11938000000 8310000000 0.00 0.00
## X1998 12477000000 8502000000 17.09 30.35
## X1999 12994000000 9518000000 12.00 16.41
## X2000 14795000000 10813000000 13.83 20.87
## X2001 17191000000 12552000000 0.00 0.00
## X2002 17765000000 12659000000 8.96 18.59
## X2003 20218600000 14236400000 9.39 18.99
## X2004 23103700000 15554800000 9.51 18.38
## X2005 27937000000 15701500000 9.39 18.41
## X2006 31149795000 15343676000 11.65 14.50
## X2007 38687300000 16707600000 11.70 14.78
## X2008 45015200000 21062400000 917.75 150.92
## X2009 62995100000 26808800000 11.30 14.11
## X2010 89681363000 35218933000 11.30 14.62
## X2011 100000000000 36575544000 11.29 14.15
## X2012 114000000000 43390806000 11.17 14.31
## X2013 135000000000 56931815000 14.25 16.17
## X2014 164000000000 67980556000 8.49 14.11
## X2015 189000000000 74844459070 11.93 14.09
## X2016 219000000000 82184049221 12.89 13.18
## X2017 279000000000 103000000000 0.00 0.00
## X2018 367000000000 127000000000 12.20 13.82
## X2019 424000000000 143000000000 14.06 15.99
## X2020 270000000000 124000000000 12.49 12.29
## X2021 0 0 0.00 0.00
## TM.TAX.MRCH.SM.FN.ZS TM.TAX.TCOM.SM.AR.ZS TM.TAX.MANF.SM.AR.ZS
## X1960 0.00 0.00 0.00
## X1961 0.00 0.00 0.00
## X1962 0.00 0.00 0.00
## X1963 0.00 0.00 0.00
## X1964 0.00 0.00 0.00
## X1965 0.00 0.00 0.00
## X1966 0.00 0.00 0.00
## X1967 0.00 0.00 0.00
## X1968 0.00 0.00 0.00
## X1969 0.00 0.00 0.00
## X1970 0.00 0.00 0.00
## X1971 0.00 0.00 0.00
## X1972 0.00 0.00 0.00
## X1973 0.00 0.00 0.00
## X1974 0.00 0.00 0.00
## X1975 0.00 0.00 0.00
## X1976 0.00 0.00 0.00
## X1977 0.00 0.00 0.00
## X1978 0.00 0.00 0.00
## X1979 0.00 0.00 0.00
## X1980 0.00 0.00 0.00
## X1981 0.00 0.00 0.00
## X1982 0.00 0.00 0.00
## X1983 0.00 0.00 0.00
## X1984 0.00 0.00 0.00
## X1985 0.00 0.00 0.00
## X1986 0.00 0.00 0.00
## X1987 0.00 0.00 0.00
## X1988 0.00 0.00 0.00
## X1989 0.00 0.00 0.00
## X1990 0.00 0.00 0.00
## X1991 0.00 0.00 0.00
## X1992 0.00 0.00 0.00
## X1993 16.57 11.34 22.54
## X1994 0.00 0.00 0.00
## X1995 0.00 0.00 0.00
## X1996 0.00 0.00 0.00
## X1997 0.00 0.00 0.00
## X1998 16.20 16.64 23.23
## X1999 12.43 11.95 14.87
## X2000 13.29 15.94 14.12
## X2001 0.00 0.00 0.00
## X2002 13.62 14.18 14.71
## X2003 13.72 14.19 14.95
## X2004 13.79 14.35 14.86
## X2005 13.76 14.08 14.80
## X2006 12.51 14.99 12.74
## X2007 12.56 14.88 12.69
## X2008 15.41 22.36 13.78
## X2009 12.43 16.02 12.18
## X2010 12.33 16.58 12.29
## X2011 12.35 17.94 12.38
## X2012 12.20 17.29 12.13
## X2013 12.21 16.00 11.21
## X2014 12.23 16.22 12.12
## X2015 12.25 16.86 12.07
## X2016 12.14 18.40 11.89
## X2017 0.00 0.00 0.00
## X2018 13.19 23.78 11.11
## X2019 17.27 73.04 12.57
## X2020 12.60 18.70 11.17
## X2021 0.00 0.00 0.00
## IC.FRM.METG.ZS GC.TAX.GSRV.RV.ZS TM.TAX.MRCH.BC.ZS NY.TAX.NIND.CD
## X1960 0.0 0.00000 0.00 7087544
## X1961 0.0 0.00000 0.00 7350046
## X1962 0.0 0.00000 0.00 8006300
## X1963 0.0 0.00000 0.00 6890092
## X1964 0.0 0.00000 0.00 6913580
## X1965 0.0 0.00000 0.00 10237564
## X1966 0.0 0.00000 0.00 23362646
## X1967 0.0 0.00000 0.00 11943825
## X1968 0.0 0.00000 0.00 11627031
## X1969 0.0 0.00000 0.00 15901235
## X1970 0.0 0.00000 0.00 5432099
## X1971 0.0 0.00000 0.00 16098765
## X1972 0.0 0.00000 0.00 23604938
## X1973 0.0 0.00000 0.00 19892541
## X1974 0.0 0.00000 0.00 36420692
## X1975 0.0 0.00000 0.00 60384176
## X1976 0.0 0.00000 0.00 67235734
## X1977 0.0 0.00000 0.00 82000000
## X1978 0.0 0.00000 0.00 106174546
## X1979 0.0 0.00000 0.00 119666667
## X1980 0.0 0.00000 0.00 122083325
## X1981 0.0 0.00000 0.00 153416658
## X1982 0.0 0.00000 0.00 150815929
## X1983 0.0 0.00000 0.00 153455830
## X1984 0.0 0.00000 0.00 156353407
## X1985 0.0 0.00000 0.00 144588477
## X1986 0.0 0.00000 0.00 153835135
## X1987 0.0 0.00000 0.00 161698857
## X1988 0.0 0.00000 0.00 212740875
## X1989 0.0 0.00000 0.00 187893172
## X1990 0.0 33.01522 0.00 198818594
## X1991 0.0 34.01988 0.00 206905290
## X1992 0.0 38.11215 0.00 166748330
## X1993 0.0 35.84218 0.00 202125000
## X1994 0.0 38.38760 0.00 247938776
## X1995 0.0 36.44566 0.00 286365462
## X1996 0.0 34.83421 0.00 280781108
## X1997 0.0 33.83691 0.00 314781694
## X1998 0.0 33.92886 0.00 305778854
## X1999 0.0 33.27529 0.00 315761589
## X2000 0.0 32.15256 0.00 346677284
## X2001 0.0 32.49778 0.00 382181433
## X2002 0.0 32.33469 0.00 382536547
## X2003 0.0 31.09697 0.00 410335949
## X2004 0.0 32.51112 99.35 488543949
## X2005 0.0 33.88102 99.35 564540713
## X2006 0.0 37.03893 99.35 594070905
## X2007 0.0 37.85898 99.37 737265473
## X2008 0.0 37.31063 99.37 929013186
## X2009 63.4 37.94330 99.37 1024265562
## X2010 0.0 41.47121 99.37 1467183643
## X2011 0.0 39.63208 99.37 1703933395
## X2012 0.0 40.03297 99.37 1727421573
## X2013 65.6 40.67709 99.42 1955546313
## X2014 0.0 40.62102 99.42 2138934650
## X2015 0.0 42.09241 99.42 2382471163
## X2016 0.0 41.73544 99.42 2508487301
## X2017 0.0 42.59794 0.00 3357251910
## X2018 0.0 45.73115 99.41 4262858915
## X2019 0.0 47.46474 99.40 4575218471
## X2020 0.0 34.45892 99.40 3956454691
## X2021 0.0 0.00000 0.00 5216026828
## TM.TAX.TCOM.SM.FN.ZS TM.TAX.MANF.SM.FN.ZS IC.TAX.METG GC.TAX.YPKG.RV.ZS
## X1960 0.00 0.00 0.0 0.000000
## X1961 0.00 0.00 0.0 0.000000
## X1962 0.00 0.00 0.0 0.000000
## X1963 0.00 0.00 0.0 0.000000
## X1964 0.00 0.00 0.0 0.000000
## X1965 0.00 0.00 0.0 0.000000
## X1966 0.00 0.00 0.0 0.000000
## X1967 0.00 0.00 0.0 0.000000
## X1968 0.00 0.00 0.0 0.000000
## X1969 0.00 0.00 0.0 0.000000
## X1970 0.00 0.00 0.0 0.000000
## X1971 0.00 0.00 0.0 0.000000
## X1972 0.00 0.00 0.0 0.000000
## X1973 0.00 0.00 0.0 0.000000
## X1974 0.00 0.00 0.0 0.000000
## X1975 0.00 0.00 0.0 0.000000
## X1976 0.00 0.00 0.0 0.000000
## X1977 0.00 0.00 0.0 0.000000
## X1978 0.00 0.00 0.0 0.000000
## X1979 0.00 0.00 0.0 0.000000
## X1980 0.00 0.00 0.0 0.000000
## X1981 0.00 0.00 0.0 0.000000
## X1982 0.00 0.00 0.0 0.000000
## X1983 0.00 0.00 0.0 0.000000
## X1984 0.00 0.00 0.0 0.000000
## X1985 0.00 0.00 0.0 0.000000
## X1986 0.00 0.00 0.0 0.000000
## X1987 0.00 0.00 0.0 0.000000
## X1988 0.00 0.00 0.0 0.000000
## X1989 0.00 0.00 0.0 0.000000
## X1990 0.00 0.00 0.0 8.927895
## X1991 0.00 0.00 0.0 6.107356
## X1992 0.00 0.00 0.0 5.976368
## X1993 8.78 18.68 0.0 6.487622
## X1994 0.00 0.00 0.0 9.098619
## X1995 0.00 0.00 0.0 10.172688
## X1996 0.00 0.00 0.0 10.583593
## X1997 0.00 0.00 0.0 11.207165
## X1998 9.14 18.12 0.0 12.443574
## X1999 8.83 13.33 0.0 14.786172
## X2000 11.58 13.64 0.0 15.145061
## X2001 0.00 0.00 0.0 16.100493
## X2002 11.98 13.90 0.0 14.684844
## X2003 12.06 14.01 0.0 10.580625
## X2004 12.11 14.07 0.0 11.430964
## X2005 11.91 14.09 0.0 10.660690
## X2006 11.81 12.50 0.0 10.894619
## X2007 11.86 12.57 0.0 13.430064
## X2008 19.20 14.09 0.0 13.781042
## X2009 12.20 12.30 2.0 14.486915
## X2010 12.02 12.22 0.0 15.639943
## X2011 12.27 12.17 0.0 17.050015
## X2012 12.08 12.05 0.0 17.997029
## X2013 11.80 12.19 2.7 19.396672
## X2014 11.75 12.23 0.0 18.685711
## X2015 11.86 12.23 0.0 19.147870
## X2016 12.15 11.97 0.0 21.787465
## X2017 0.00 0.00 0.0 22.149419
## X2018 15.82 12.12 0.0 19.268666
## X2019 27.66 13.55 0.0 21.062204
## X2020 13.29 12.19 0.0 27.239470
## X2021 0.00 0.00 0.0 0.000000
## IC.TAX.DURS GC.TAX.TOTL.CN TM.TAX.TCOM.BR.ZS TM.TAX.MANF.BR.ZS
## X1960 0 0 0.00 0.00
## X1961 0 0 0.00 0.00
## X1962 0 0 0.00 0.00
## X1963 0 0 0.00 0.00
## X1964 0 0 0.00 0.00
## X1965 0 0 0.00 0.00
## X1966 0 0 0.00 0.00
## X1967 0 0 0.00 0.00
## X1968 0 0 0.00 0.00
## X1969 0 0 0.00 0.00
## X1970 0 0 0.00 0.00
## X1971 0 0 0.00 0.00
## X1972 0 0 0.00 0.00
## X1973 0 0 0.00 0.00
## X1974 0 0 0.00 0.00
## X1975 0 0 0.00 0.00
## X1976 0 0 0.00 0.00
## X1977 0 0 0.00 0.00
## X1978 0 0 0.00 0.00
## X1979 0 0 0.00 0.00
## X1980 0 0 0.00 0.00
## X1981 0 0 0.00 0.00
## X1982 0 0 0.00 0.00
## X1983 0 0 0.00 0.00
## X1984 0 0 0.00 0.00
## X1985 0 0 0.00 0.00
## X1986 0 0 0.00 0.00
## X1987 0 0 0.00 0.00
## X1988 0 0 0.00 0.00
## X1989 0 0 0.00 0.00
## X1990 0 7235700000 0.00 0.00
## X1991 0 8196000000 0.00 0.00
## X1992 0 9901000000 0.00 0.00
## X1993 0 11691000000 0.00 0.00
## X1994 0 15402000000 0.00 0.00
## X1995 0 19694000000 0.00 0.00
## X1996 0 21705000000 0.00 0.00
## X1997 0 24471000000 0.00 0.00
## X1998 0 25991000000 0.00 0.00
## X1999 0 28808000000 0.00 0.00
## X2000 0 33152000000 0.00 0.00
## X2001 0 38865000000 0.00 0.00
## X2002 0 39331000000 0.00 0.00
## X2003 0 42586900000 0.00 0.00
## X2004 0 48173000000 32.41 24.07
## X2005 408 54104800000 32.41 24.07
## X2006 408 57426995000 32.41 24.07
## X2007 408 71126700000 32.32 24.14
## X2008 408 85155400000 32.32 24.14
## X2009 338 117000000000 32.32 24.14
## X2010 338 160000000000 32.32 24.14
## X2011 326 181000000000 32.32 24.14
## X2012 326 212000000000 32.32 24.14
## X2013 334 259000000000 32.62 24.12
## X2014 334 312000000000 32.62 24.12
## X2015 334 356000000000 32.62 24.12
## X2016 339 421000000000 32.62 24.12
## X2017 339 554000000000 0.00 0.00
## X2018 353 659000000000 32.88 24.12
## X2019 377 764000000000 32.88 24.12
## X2020 0 613000000000 32.88 24.12
## X2021 0 0 0.00 0.00
## TM.TAX.TCOM.SR.ZS TM.TAX.MANF.SR.ZS IC.TAX.PRFT.CP.ZS GC.TAX.EXPT.ZS
## X1960 0.000000 0.0000000 0.0 0.00000000
## X1961 0.000000 0.0000000 0.0 0.00000000
## X1962 0.000000 0.0000000 0.0 0.00000000
## X1963 0.000000 0.0000000 0.0 0.00000000
## X1964 0.000000 0.0000000 0.0 0.00000000
## X1965 0.000000 0.0000000 0.0 0.00000000
## X1966 0.000000 0.0000000 0.0 0.00000000
## X1967 0.000000 0.0000000 0.0 0.00000000
## X1968 0.000000 0.0000000 0.0 0.00000000
## X1969 0.000000 0.0000000 0.0 0.00000000
## X1970 0.000000 0.0000000 0.0 0.00000000
## X1971 0.000000 0.0000000 0.0 0.00000000
## X1972 0.000000 0.0000000 0.0 0.00000000
## X1973 0.000000 0.0000000 0.0 0.00000000
## X1974 0.000000 0.0000000 0.0 0.00000000
## X1975 0.000000 0.0000000 0.0 0.00000000
## X1976 0.000000 0.0000000 0.0 0.00000000
## X1977 0.000000 0.0000000 0.0 0.00000000
## X1978 0.000000 0.0000000 0.0 0.00000000
## X1979 0.000000 0.0000000 0.0 0.00000000
## X1980 0.000000 0.0000000 0.0 0.00000000
## X1981 0.000000 0.0000000 0.0 0.00000000
## X1982 0.000000 0.0000000 0.0 0.00000000
## X1983 0.000000 0.0000000 0.0 0.00000000
## X1984 0.000000 0.0000000 0.0 0.00000000
## X1985 0.000000 0.0000000 0.0 0.00000000
## X1986 0.000000 0.0000000 0.0 0.00000000
## X1987 0.000000 0.0000000 0.0 0.00000000
## X1988 0.000000 0.0000000 0.0 0.00000000
## X1989 0.000000 0.0000000 0.0 0.00000000
## X1990 0.000000 0.0000000 0.0 0.44501569
## X1991 0.000000 0.0000000 0.0 0.95168375
## X1992 0.000000 0.0000000 0.0 1.16149884
## X1993 6.546392 0.0202306 0.0 1.20605594
## X1994 0.000000 0.0000000 0.0 2.77236722
## X1995 0.000000 0.0000000 0.0 1.68579263
## X1996 0.000000 0.0000000 0.0 0.69108500
## X1997 0.000000 0.0000000 0.0 0.68652691
## X1998 25.500000 1.0217110 0.0 0.83490439
## X1999 8.764368 0.0118245 0.0 1.31213552
## X2000 11.591960 0.0168691 0.0 1.30308880
## X2001 0.000000 0.0000000 0.0 1.26849350
## X2002 1.727116 0.0085063 0.0 2.33149424
## X2003 1.727116 0.0084991 0.0 2.00906852
## X2004 1.727116 0.0169578 0.0 1.09418139
## X2005 3.174603 0.0686577 19.9 1.28990404
## X2006 3.369524 0.0000000 19.9 1.08883287
## X2007 2.204783 0.0000000 18.8 0.98219093
## X2008 0.000000 0.0000000 20.1 0.52327862
## X2009 2.204783 0.0000000 18.4 0.67816419
## X2010 2.153031 0.0000000 17.6 0.57293163
## X2011 1.772304 0.0000000 17.2 0.16131729
## X2012 1.862421 0.0454726 17.2 0.40693453
## X2013 3.498542 0.0000000 17.6 0.16939490
## X2014 0.000000 0.0000000 17.6 0.34242744
## X2015 5.678592 0.0000000 17.6 0.08845511
## X2016 5.920496 0.0000000 17.6 0.03789371
## X2017 0.000000 0.0000000 17.6 0.02259209
## X2018 1.493280 0.0000000 16.0 0.01552102
## X2019 1.369142 0.0000000 15.0 0.03108693
## X2020 1.472031 0.0000000 0.0 0.01831949
## X2021 0.000000 0.0000000 0.0 0.00000000
## GC.TAX.OTHR.RV.ZS TG.VAL.TOTL.GD.ZS NY.GDP.MKTP.KD NY.GDP.COAL.RT.ZS
## X1960 0.0000000 10.819649 3312006963 0.000000000
## X1961 0.0000000 4.887590 3375208865 0.000000000
## X1962 0.0000000 5.225651 3439686156 0.000000000
## X1963 0.0000000 23.543715 3504872049 0.000000000
## X1964 0.0000000 28.421759 3768874732 0.000000000
## X1965 0.0000000 22.440825 3723528046 0.000000000
## X1966 0.0000000 13.894832 3985688368 0.000000000
## X1967 0.0000000 13.183305 3923053375 0.000000000
## X1968 0.0000000 13.597009 3949552951 0.000000000
## X1969 0.0000000 17.625235 4125838151 0.000000000
## X1970 0.0000000 13.510778 4232119417 0.000000000
## X1971 0.0000000 15.066289 4181529368 0.000000000
## X1972 0.0000000 13.963496 4311901106 0.000000000
## X1973 0.0000000 17.179272 4291353333 0.000000000
## X1974 0.0000000 16.420988 4563150075 0.000000000
## X1975 0.0000000 17.261191 4629611019 0.000000000
## X1976 0.0000000 17.965395 4833246135 0.000000000
## X1977 0.0000000 18.012153 4979063887 0.000000000
## X1978 0.0000000 19.449401 5198428566 0.000000000
## X1979 0.0000000 19.608373 5321572986 0.000000000
## X1980 0.0000000 21.686438 5198144730 0.000000000
## X1981 0.0000000 22.411836 5631772619 0.000000000
## X1982 0.0000000 20.163396 5844618406 0.000000000
## X1983 0.0000000 22.760940 5670600395 0.000000000
## X1984 0.0000000 21.075408 6219578592 0.000000000
## X1985 0.0000000 23.397715 6601765803 0.000000000
## X1986 0.0000000 21.116994 6903179359 0.000000000
## X1987 0.0000000 24.414530 7020230929 0.000000000
## X1988 0.0000000 24.921066 7560564675 0.000000000
## X1989 0.0000000 21.019916 7887910507 0.000000000
## X1990 0.9325532 24.148447 8253518026 0.000000000
## X1991 0.8429423 25.347598 8779114468 0.000000000
## X1992 0.5942217 33.664474 9139620604 0.000000000
## X1993 0.4752431 34.808347 9491482290 0.000000000
## X1994 0.3251190 37.302280 10271302732 0.000000000
## X1995 0.2551492 38.126794 10627557926 0.000000000
## X1996 0.3341182 39.433115 11193824413 0.000000000
## X1997 0.7624500 42.673947 11758957236 0.000000000
## X1998 1.1856203 35.418239 12113653185 0.000000000
## X1999 1.3367478 40.209452 12648177008 0.000000000
## X2000 1.2495925 43.263394 13432363981 0.003580902
## X2001 1.1436889 36.790074 14077102964 0.003055141
## X2002 1.5270927 32.838222 14094015643 0.002557438
## X2003 1.9265464 38.164604 14650029882 0.002328474
## X2004 1.9576720 37.256296 15336032658 0.004864822
## X2005 2.0324730 38.694959 15869600999 0.004762176
## X2006 2.1059808 36.821150 16403551941 0.007805739
## X2007 1.9649097 38.641755 16963169002 0.006617356
## X2008 2.0314994 36.100771 17998709258 0.012369547
## X2009 1.9247785 40.505686 18814604917 0.006176697
## X2010 0.4919124 37.425036 19720794305 0.007851147
## X2011 0.5235828 31.023652 20395606013 0.007641003
## X2012 1.0202413 32.147472 21348105727 0.005754710
## X2013 1.0545048 33.615783 22100659154 0.004958637
## X2014 1.1085903 37.300493 23429236486 0.004321669
## X2015 1.2241484 30.265843 24360795411 0.003273018
## X2016 1.1430845 39.271577 24466305357 0.003656839
## X2017 4.1888124 38.268525 26662713937 0.004472639
## X2018 1.3027425 40.765261 28695046274 0.004915582
## X2019 0.9443507 38.927999 30605291409 0.002196459
## X2020 0.8456121 32.039557 29880062111 0.001886447
## X2021 0.0000000 56.772290 31149050463 0.000000000
## NY.GDP.PCAP.PP.KD NY.GDP.MINR.RT.ZS NY.GDP.MKTP.KN NY.GDP.DEFL.KD.ZG.AD
## X1960 0.000 0.000000000 253000000000 0.000000
## X1961 0.000 0.000000000 258000000000 0.000000
## X1962 0.000 0.000000000 263000000000 0.000000
## X1963 0.000 0.000000000 268000000000 0.000000
## X1964 0.000 0.000000000 288000000000 0.000000
## X1965 0.000 0.000000000 285000000000 0.000000
## X1966 0.000 0.000000000 305000000000 0.000000
## X1967 0.000 0.000000000 300000000000 0.000000
## X1968 0.000 0.000000000 302000000000 0.000000
## X1969 0.000 0.000000000 315000000000 0.000000
## X1970 0.000 0.000000000 324000000000 0.000000
## X1971 0.000 0.000000000 320000000000 0.000000
## X1972 0.000 0.000000000 330000000000 0.000000
## X1973 0.000 0.000000000 328000000000 0.000000
## X1974 0.000 0.094538945 349000000000 0.000000
## X1975 0.000 0.000000000 354000000000 0.000000
## X1976 0.000 0.000000000 369000000000 0.000000
## X1977 0.000 1.034875601 381000000000 0.000000
## X1978 0.000 1.081464371 397000000000 0.000000
## X1979 0.000 1.580340084 407000000000 0.000000
## X1980 0.000 1.445373485 397000000000 0.000000
## X1981 0.000 0.365879238 431000000000 0.000000
## X1982 0.000 0.179660197 447000000000 0.000000
## X1983 0.000 0.627780478 434000000000 0.000000
## X1984 0.000 0.192764463 475000000000 0.000000
## X1985 0.000 0.000000000 505000000000 0.000000
## X1986 0.000 0.000000000 528000000000 0.000000
## X1987 0.000 0.000000000 537000000000 0.000000
## X1988 0.000 0.000000000 578000000000 0.000000
## X1989 0.000 0.000000000 603000000000 0.000000
## X1990 1613.072 0.000000000 631000000000 10.715885
## X1991 1671.583 0.000000000 671000000000 12.544638
## X1992 1693.721 0.000000000 699000000000 18.489095
## X1993 1711.571 0.000000000 726000000000 10.774909
## X1994 1803.697 0.000000000 785000000000 4.815986
## X1995 1819.966 0.000000000 812000000000 6.300862
## X1996 1872.312 0.000000000 856000000000 7.823036
## X1997 1923.780 0.000000000 899000000000 7.279093
## X1998 1941.146 0.000000000 926000000000 4.107851
## X1999 1987.825 0.000000000 967000000000 8.887047
## X2000 2073.054 0.000000000 1030000000000 4.472434
## X2001 2136.329 0.000000000 1080000000000 3.412487
## X2002 2106.152 0.000000000 1080000000000 3.934858
## X2003 2158.232 0.000000000 1120000000000 3.070305
## X2004 2229.211 0.000000000 1170000000000 4.166427
## X2005 2277.634 0.000000000 1210000000000 6.119390
## X2006 2325.168 0.000000000 1250000000000 7.360039
## X2007 2375.702 0.000000000 1300000000000 7.603289
## X2008 2493.885 0.000000000 1380000000000 5.619855
## X2009 2585.896 0.000000000 1440000000000 15.908330
## X2010 2697.432 0.000000000 1510000000000 15.146932
## X2011 2786.844 0.000000000 1560000000000 26.397307
## X2012 2922.620 0.000000000 1630000000000 7.741150
## X2013 3033.781 0.000000000 1690000000000 7.082651
## X2014 3217.449 0.000000000 1790000000000 8.035366
## X2015 3331.872 0.000000000 1860000000000 4.409045
## X2016 3315.814 0.000142212 1870000000000 7.150335
## X2017 3565.198 0.000000000 2040000000000 8.261413
## X2018 3773.716 0.000000000 2190000000000 4.355858
## X2019 3952.760 0.000000000 2340000000000 4.691156
## X2020 3789.150 0.000000000 2280000000000 3.217402
## X2021 3878.444 0.000000000 2380000000000 5.511971
## NV.SRV.TOTL.ZS ER.GDP.FWTL.M3.KD BX.TRF.PWKR.DT.GD.ZS SL.GDP.PCAP.EM.KD
## X1960 98.60573 0.000000 0.0000000 0.000
## X1961 98.61831 0.000000 0.0000000 0.000
## X1962 98.60539 0.000000 0.0000000 0.000
## X1963 98.61352 0.000000 0.0000000 0.000
## X1964 98.60641 0.000000 0.0000000 0.000
## X1965 23.17030 0.000000 0.0000000 0.000
## X1966 19.69895 0.000000 0.0000000 0.000
## X1967 22.52533 0.000000 0.0000000 0.000
## X1968 21.02329 0.000000 0.0000000 0.000
## X1969 21.20225 0.000000 0.0000000 0.000
## X1970 21.04243 0.000000 0.0000000 0.000
## X1971 22.19736 0.000000 0.0000000 0.000
## X1972 20.75418 0.000000 0.0000000 0.000
## X1973 23.03140 0.000000 0.0000000 0.000
## X1974 19.88601 0.000000 0.0000000 0.000
## X1975 19.29877 0.000000 0.0000000 0.000
## X1976 20.84052 0.000000 0.0000000 0.000
## X1977 23.40856 0.000000 0.0000000 0.000
## X1978 23.36814 0.000000 0.0000000 0.000
## X1979 22.16971 0.000000 0.0000000 0.000
## X1980 24.65847 0.000000 0.0000000 0.000
## X1981 24.93134 0.000000 0.0000000 0.000
## X1982 24.49013 0.000000 0.0000000 0.000
## X1983 25.21327 0.000000 0.0000000 0.000
## X1984 24.81086 0.000000 0.0000000 0.000
## X1985 31.35062 0.000000 0.0000000 0.000
## X1986 30.90769 0.000000 0.0000000 0.000
## X1987 31.62032 0.000000 0.0000000 0.000
## X1988 30.92477 0.000000 0.0000000 0.000
## X1989 31.32554 0.000000 0.0000000 0.000
## X1990 30.36958 0.000000 0.0000000 0.000
## X1991 33.55304 0.000000 0.0000000 3438.538
## X1992 33.03382 0.000000 0.0000000 3473.403
## X1993 35.06108 0.000000 1.4979366 3498.156
## X1994 33.06987 0.000000 1.2323896 3677.602
## X1995 33.17805 0.000000 1.2911002 3688.247
## X1996 33.36949 0.000000 0.9766525 3794.320
## X1997 33.41913 0.000000 1.0055124 3895.098
## X1998 35.23442 0.000000 1.3900609 3922.835
## X1999 34.58437 0.000000 1.6580991 4010.797
## X2000 34.71072 0.000000 2.0293606 4180.487
## X2001 44.45295 0.000000 2.4468754 4299.002
## X2002 43.55295 1.481205 11.2130196 4221.191
## X2003 44.12664 0.000000 12.1803239 4315.958
## X2004 45.17195 0.000000 11.3089900 4442.469
## X2005 45.83415 0.000000 14.9051020 4519.497
## X2006 47.93390 0.000000 16.0689647 4578.356
## X2007 48.77698 1.790103 16.7918135 4647.738
## X2008 49.20432 0.000000 21.7381040 4853.434
## X2009 48.61377 0.000000 23.2076254 5002.507
## X2010 46.39884 0.000000 21.6469853 5184.357
## X2011 47.90291 0.000000 19.5463099 5330.550
## X2012 47.98745 2.247855 22.0821208 5557.785
## X2013 48.75522 0.000000 25.1947003 5723.105
## X2014 49.56402 0.000000 25.9051250 6031.347
## X2015 50.53990 0.000000 27.6260917 6196.549
## X2016 51.59804 0.000000 26.9605777 6053.331
## X2017 51.84978 2.807458 23.9135441 6442.269
## X2018 51.59044 0.000000 25.0264200 6719.346
## X2019 52.02272 0.000000 24.1163629 6947.961
## X2020 53.93885 0.000000 24.2502380 7221.739
## X2021 52.58395 0.000000 0.0000000 7132.779
## SE.XPD.TERT.PC.ZS NY.GDS.TOTL.ZS NY.GDP.MKTP.KD.ZG NY.GDP.DEFL.KD.ZG
## X1960 0.00000 0.000000 0.0000000 0.0000000
## X1961 0.00000 0.000000 1.9082660 2.6880000
## X1962 0.00000 0.000000 1.9103200 5.8970910
## X1963 0.00000 0.000000 1.8951116 3.5699251
## X1964 0.00000 0.000000 7.5324486 1.1947197
## X1965 0.00000 0.000000 -1.2031890 12.8851940
## X1966 0.00000 0.000000 7.0406431 15.2188135
## X1967 0.00000 0.000000 -1.5714975 -5.6676650
## X1968 0.00000 0.000000 0.6754835 11.0658262
## X1969 0.00000 0.000000 4.4634216 6.5638311
## X1970 0.00000 0.000000 2.5759921 7.0483308
## X1971 0.00000 0.000000 -1.1953833 3.1721761
## X1972 0.00000 0.000000 3.1178004 12.5026833
## X1973 0.00000 0.000000 -0.4765363 -3.3973056
## X1974 0.00000 0.000000 6.3335904 20.8256695
## X1975 0.00000 10.029569 1.4564707 27.5227470
## X1976 0.00000 11.728183 4.3985362 0.5440423
## X1977 0.00000 13.495370 3.0169734 -3.5648216
## X1978 0.00000 13.379282 4.4057414 9.3712069
## X1979 0.00000 11.636281 2.3688778 9.9783634
## X1980 0.00000 11.095885 -2.3193942 7.6095466
## X1981 0.00000 10.890980 8.3419741 7.9373564
## X1982 0.00000 9.932878 3.7793747 9.3474097
## X1983 0.00000 8.548577 -2.9774059 12.2886911
## X1984 0.00000 9.865448 9.6811300 6.3779500
## X1985 0.00000 14.085776 6.1449052 11.4218328
## X1986 0.00000 11.623717 4.5656505 14.3925701
## X1987 0.00000 12.095437 1.6956183 12.6968019
## X1988 0.00000 11.357449 7.6968087 11.8153102
## X1989 0.00000 10.291187 4.3296479 11.2583729
## X1990 0.00000 6.991686 4.6350363 10.7158852
## X1991 0.00000 8.559919 6.3681504 12.5446382
## X1992 0.00000 10.928701 4.1064066 18.4890946
## X1993 0.00000 12.247242 3.8498500 10.7749093
## X1994 0.00000 9.959352 8.2160027 4.8159862
## X1995 0.00000 15.655298 3.4684519 6.3008616
## X1996 0.00000 14.382469 5.3282842 7.8230356
## X1997 0.00000 13.960850 5.0486125 7.2790930
## X1998 0.00000 13.773870 3.0163895 4.1078507
## X1999 0.00000 13.613479 4.4125733 8.8870474
## X2000 139.46298 15.172285 6.2000000 4.4724337
## X2001 102.63701 11.664627 4.7998921 11.0171483
## X2002 77.43354 9.489666 0.1201432 3.9348579
## X2003 63.42802 8.561180 3.9450378 3.0703050
## X2004 0.00000 11.749243 4.6826032 4.1664272
## X2005 0.00000 11.555660 3.4791810 6.1193904
## X2006 0.00000 8.983078 3.3646148 7.3600393
## X2007 0.00000 9.817208 3.4115603 7.6032889
## X2008 47.40814 9.831096 6.1046391 5.6198545
## X2009 51.51713 9.433666 4.5330787 15.9083302
## X2010 33.02038 11.451401 4.8164147 15.1469324
## X2011 31.69426 7.125826 3.4218282 26.3973067
## X2012 0.00000 9.120634 4.6701221 7.7411500
## X2013 22.29423 8.178967 3.5251532 7.0826510
## X2014 26.74935 9.364717 6.0114828 8.0353662
## X2015 24.16269 7.625270 3.9760533 4.4090454
## X2016 0.00000 3.642859 0.4331137 7.1503348
## X2017 0.00000 12.984755 8.9772794 8.2614126
## X2018 0.00000 14.791612 7.6223761 4.3558585
## X2019 0.00000 15.303407 6.6570554 4.6911559
## X2020 0.00000 5.719357 -2.3696206 3.2174023
## X2021 0.00000 7.708062 4.2469401 5.5119715
## SH.XPD.CHEX.GD.ZS SE.XPD.PRIM.PC.ZS NY.GDP.PETR.RT.ZS NY.GDP.MKTP.CD
## X1960 0.000000 0.00000 0 508334414
## X1961 0.000000 0.00000 0 531959562
## X1962 0.000000 0.00000 0 574091101
## X1963 0.000000 0.00000 0 496947904
## X1964 0.000000 0.00000 0 496098775
## X1965 0.000000 0.00000 0 735267082
## X1966 0.000000 0.00000 0 906811944
## X1967 0.000000 0.00000 0 841974026
## X1968 0.000000 0.00000 0 772228643
## X1969 0.000000 0.00000 0 788641965
## X1970 0.000000 0.00000 0 865975309
## X1971 0.000000 0.00000 0 882765472
## X1972 0.000000 0.00000 0 1024098805
## X1973 0.000000 0.00000 0 972101725
## X1974 0.000000 0.00000 0 1217953547
## X1975 0.000000 0.00000 0 1575789254
## X1976 0.000000 0.00000 0 1452792989
## X1977 0.000000 0.00000 0 1382400000
## X1978 0.000000 0.00000 0 1604162497
## X1979 0.000000 0.00000 0 1851250008
## X1980 0.000000 0.00000 0 1945916583
## X1981 0.000000 0.00000 0 2275583317
## X1982 0.000000 0.00000 0 2395429852
## X1983 0.000000 0.00000 0 2447174803
## X1984 0.000000 0.00000 0 2581207388
## X1985 0.000000 0.00000 0 2619913956
## X1986 0.000000 0.00000 0 2850784523
## X1987 0.000000 0.00000 0 2957255380
## X1988 0.000000 0.00000 0 3487009748
## X1989 0.000000 0.00000 0 3525228153
## X1990 0.000000 0.00000 0 3627562403
## X1991 0.000000 0.00000 0 3921476085
## X1992 0.000000 0.00000 0 3401211581
## X1993 0.000000 0.00000 0 3660041667
## X1994 0.000000 0.00000 0 4066775510
## X1995 0.000000 0.00000 0 4401104418
## X1996 0.000000 0.00000 0 4521580381
## X1997 0.000000 0.00000 0 4918691917
## X1998 0.000000 0.00000 0 4856255044
## X1999 0.000000 8.98008 0 5033642384
## X2000 3.125985 10.18187 0 5494252208
## X2001 3.803862 13.56601 0 6007055042
## X2002 3.929912 11.79508 0 6050875807
## X2003 3.847535 11.06862 0 6330473097
## X2004 4.037344 0.00000 0 7273938315
## X2005 3.942211 0.00000 0 8130258041
## X2006 3.536180 0.00000 0 9043715356
## X2007 3.664843 0.00000 0 10325618017
## X2008 3.809113 14.17214 0 12545438605
## X2009 3.893147 16.37681 0 12854985464
## X2010 4.351663 11.09709 0 16002656434
## X2011 4.442350 11.42569 0 21573862467
## X2012 4.490785 11.53445 0 21703106502
## X2013 4.630118 11.22594 0 22162208956
## X2014 5.075483 13.05722 0 22731602970
## X2015 5.466151 12.35956 0 24360795411
## X2016 5.423798 0.00000 0 24524098185
## X2017 4.721733 0.00000 0 28971589213
## X2018 4.528452 0.00000 0 33111525872
## X2019 4.445151 0.00000 0 34186190996
## X2020 0.000000 0.00000 0 33433670512
## X2021 0.000000 0.00000 0 36288830373
## NE.DAB.TOTL.ZS SH.XPD.GHED.GD.ZS SE.XPD.TOTL.GD.ZS PA.NUS.PPPC.RF
## X1960 0.0000 0.0000000 0.00000 0.0000000
## X1961 0.0000 0.0000000 0.00000 0.0000000
## X1962 0.0000 0.0000000 0.00000 0.0000000
## X1963 0.0000 0.0000000 0.00000 0.0000000
## X1964 0.0000 0.0000000 0.00000 0.0000000
## X1965 0.0000 0.0000000 0.00000 0.0000000
## X1966 0.0000 0.0000000 0.00000 0.0000000
## X1967 0.0000 0.0000000 0.00000 0.0000000
## X1968 0.0000 0.0000000 0.00000 0.0000000
## X1969 0.0000 0.0000000 0.00000 0.0000000
## X1970 0.0000 0.0000000 0.00000 0.0000000
## X1971 0.0000 0.0000000 0.00000 0.0000000
## X1972 0.0000 0.0000000 0.00000 0.0000000
## X1973 0.0000 0.0000000 0.00000 0.0000000
## X1974 0.0000 0.0000000 0.00000 0.0000000
## X1975 104.4656 0.0000000 0.00000 0.0000000
## X1976 103.4035 0.0000000 0.00000 0.0000000
## X1977 102.5289 0.0000000 0.00000 0.0000000
## X1978 104.9007 0.0000000 0.00000 0.0000000
## X1979 104.1819 0.0000000 0.00000 0.0000000
## X1980 107.1903 0.0000000 0.00000 0.0000000
## X1981 106.7162 0.0000000 0.00000 0.0000000
## X1982 107.2157 0.0000000 0.00000 0.0000000
## X1983 111.0841 0.0000000 0.00000 0.0000000
## X1984 108.7966 0.0000000 0.00000 0.0000000
## X1985 108.4704 0.0000000 0.00000 0.0000000
## X1986 108.6404 0.0000000 0.00000 0.0000000
## X1987 109.0933 0.0000000 0.00000 0.0000000
## X1988 110.9347 0.0000000 0.00000 0.0000000
## X1989 111.2157 0.0000000 0.00000 0.0000000
## X1990 111.1341 0.0000000 0.00000 0.2404615
## X1991 111.6936 0.0000000 0.00000 0.2363876
## X1992 109.7760 0.0000000 0.00000 0.1925507
## X1993 110.3237 0.0000000 0.00000 0.1949026
## X1994 112.4442 0.0000000 0.00000 0.1959358
## X1995 109.5442 0.0000000 0.00000 0.2007266
## X1996 112.8226 0.0000000 0.00000 0.1922687
## X1997 111.3799 0.0000000 0.00000 0.1957277
## X1998 111.0655 0.0000000 2.89288 0.1854971
## X1999 106.8700 0.0000000 2.89331 0.1815882
## X2000 109.1426 0.4848514 2.97515 0.1824988
## X2001 110.6784 0.5829133 3.70838 0.1734440
## X2002 110.7565 0.7909721 3.15284 0.1718217
## X2003 112.8482 0.6587751 3.11435 0.1695916
## X2004 112.7819 0.6454915 3.17194 0.1812837
## X2005 114.8955 0.7515617 3.36464 0.1898589
## X2006 117.8688 0.8452147 3.60536 0.1982000
## X2007 118.8680 0.6767696 3.51721 0.2130702
## X2008 120.4846 0.7096375 3.80517 0.2393908
## X2009 122.2407 0.7947565 4.66376 0.2331657
## X2010 126.8198 0.7888908 3.63172 0.2736325
## X2011 120.6845 0.7948524 3.84262 0.3494302
## X2012 119.4821 0.7867469 3.29008 0.3209644
## X2013 121.4976 0.7567741 3.01811 0.3046970
## X2014 121.6214 0.8736448 3.47213 0.2866516
## X2015 123.6522 0.9092767 3.25902 0.3009624
## X2016 124.5981 1.0077181 3.90321 0.3008767
## X2017 124.3403 1.0654247 4.76722 0.2940801
## X2018 124.7562 1.0672121 4.43445 0.3050118
## X2019 126.0753 1.1028087 4.24000 0.2900674
## X2020 124.7209 0.0000000 4.39000 0.2871073
## X2021 128.0742 0.0000000 0.00000 0.2870042
## NY.GDP.MKTP.PP.KD NY.GDP.DEFL.ZS.AD NE.GDI.TOTL.ZS GC.TAX.TOTL.GD.ZS
## X1960 0 0.00000 0.000000 0.000000
## X1961 0 0.00000 0.000000 0.000000
## X1962 0 0.00000 0.000000 0.000000
## X1963 0 0.00000 0.000000 0.000000
## X1964 0 0.00000 0.000000 0.000000
## X1965 0 0.00000 6.444127 0.000000
## X1966 0 0.00000 4.834274 0.000000
## X1967 0 0.00000 4.988309 0.000000
## X1968 0 0.00000 5.687996 0.000000
## X1969 0 0.00000 4.846587 0.000000
## X1970 0 0.00000 5.964872 0.000000
## X1971 0 0.00000 7.753412 0.000000
## X1972 0 0.00000 7.329540 0.000000
## X1973 0 0.00000 9.178453 0.000000
## X1974 0 0.00000 8.760150 0.000000
## X1975 0 0.00000 14.495202 0.000000
## X1976 0 0.00000 15.131655 0.000000
## X1977 0 0.00000 16.024305 0.000000
## X1978 0 0.00000 18.279951 0.000000
## X1979 0 0.00000 15.818140 0.000000
## X1980 0 0.00000 18.286156 0.000000
## X1981 0 0.00000 17.607207 0.000000
## X1982 0 0.00000 17.148574 0.000000
## X1983 0 0.00000 19.632701 0.000000
## X1984 0 0.00000 18.662098 0.000000
## X1985 0 0.00000 22.556133 0.000000
## X1986 0 0.00000 20.264159 0.000000
## X1987 0 0.00000 21.188776 0.000000
## X1988 0 0.00000 22.292149 0.000000
## X1989 0 0.00000 21.506906 0.000000
## X1990 30495897615 17.59520 18.125822 6.996693
## X1991 32437922242 19.80245 20.253471 6.620302
## X1992 33769955223 23.46374 20.704662 6.483344
## X1993 35070047854 25.99194 22.570895 6.654637
## X1994 37951403934 27.24371 22.403549 7.729134
## X1995 39267730121 28.96030 25.199498 8.985514
## X1996 41360026371 31.22587 27.205088 8.719914
## X1997 43448133848 33.49883 25.340715 8.723660
## X1998 44758698786 34.87492 24.839369 8.639333
## X1999 46733709167 37.97427 20.483516 8.422505
## X2000 49631199129 39.67264 24.314866 8.735981
## X2001 52013443158 41.02646 22.343046 8.802575
## X2002 52075933762 42.64080 20.246211 8.560583
## X2003 54130349013 43.95000 21.409379 8.651812
## X2004 56665058494 45.78114 24.531150 8.974958
## X2005 58636538468 48.58267 26.451158 9.179453
## X2006 60609432112 52.15837 26.851903 8.779758
## X2007 62677159421 56.12413 28.685251 9.772473
## X2008 66503373831 59.27822 30.315647 10.440086
## X2009 69518024119 68.70840 31.674377 11.844037
## X2010 72866300418 79.11561 38.271206 13.396115
## X2011 75359660061 100.00000 27.810306 11.624676
## X2012 78879048237 107.74115 28.602705 12.040805
## X2013 81659655509 115.37208 29.676609 13.297886
## X2014 86568611688 124.64265 30.986088 13.994910
## X2015 90010625807 130.13820 31.277435 14.686305
## X2016 90400474175 139.44352 28.240999 16.143750
## X2017 98515977279 150.96352 37.325054 17.999362
## X2018 106000000000 157.53928 39.547800 19.082826
## X2019 113000000000 164.92969 41.378741 19.809060
## X2020 110000000000 170.23614 30.440282 15.773650
## X2021 115000000000 179.61951 35.782212 0.000000
## FS.AST.DOMS.GD.ZS FM.AST.PRVT.GD.ZS EN.ATM.CO2E.KD.GD NY.GDP.PCAP.PP.CD
## X1960 0 1.045701 0.0000000 0.0000
## X1961 0 1.226252 0.0000000 0.0000
## X1962 0 1.252858 0.0000000 0.0000
## X1963 0 1.234835 0.0000000 0.0000
## X1964 0 1.499104 0.0000000 0.0000
## X1965 0 1.893966 0.0000000 0.0000
## X1966 0 1.788971 0.0000000 0.0000
## X1967 0 1.920499 0.0000000 0.0000
## X1968 0 2.215252 0.0000000 0.0000
## X1969 0 2.414527 0.0000000 0.0000
## X1970 0 2.869526 0.0000000 0.0000
## X1971 0 3.839785 0.0000000 0.0000
## X1972 0 3.515286 0.0000000 0.0000
## X1973 0 4.790851 0.0000000 0.0000
## X1974 0 4.886009 0.0000000 0.0000
## X1975 0 4.412528 0.0000000 0.0000
## X1976 0 3.625963 0.0000000 0.0000
## X1977 0 4.788194 0.0000000 0.0000
## X1978 0 5.703932 0.0000000 0.0000
## X1979 0 6.419986 0.0000000 0.0000
## X1980 0 8.573937 0.0000000 0.0000
## X1981 0 9.190318 0.0000000 0.0000
## X1982 0 8.631729 0.0000000 0.0000
## X1983 0 8.095972 0.0000000 0.0000
## X1984 0 8.485910 0.0000000 0.0000
## X1985 0 9.852316 0.0000000 0.0000
## X1986 0 10.581617 0.0000000 0.0000
## X1987 0 10.451585 0.0000000 0.0000
## X1988 0 11.786207 0.0000000 0.0000
## X1989 0 13.048651 0.0000000 0.0000
## X1990 0 12.808656 0.1136388 856.6408
## X1991 0 13.353850 0.1341125 917.7344
## X1992 0 13.418316 0.1342811 951.0797
## X1993 0 14.573098 0.1482255 983.8846
## X1994 0 18.550122 0.1690291 1058.9834
## X1995 0 22.831436 0.1774460 1090.9416
## X1996 0 23.197764 0.1747091 1142.8683
## X1997 0 23.885074 0.1858289 1194.5345
## X1998 0 28.663082 0.1910956 1218.8837
## X1999 0 28.875948 0.2461300 1265.7845
## X2000 0 30.670621 0.2391890 1349.9623
## X2001 0 29.415910 0.2459541 1422.5087
## X2002 0 22.868901 0.1975183 1424.2722
## X2003 0 26.142574 0.2056867 1488.2950
## X2004 0 27.097330 0.1828231 1578.5073
## X2005 0 28.726151 0.2005684 1663.3700
## X2006 0 33.151386 0.1593681 1750.4807
## X2007 0 37.281506 0.1582279 1836.8598
## X2008 0 51.652646 0.1657554 1965.2193
## X2009 0 59.178455 0.2057664 2050.7869
## X2010 0 54.589988 0.2347640 2164.9517
## X2011 0 46.424644 0.2543927 2283.1856
## X2012 0 48.754350 0.2810554 2505.3918
## X2013 0 50.462271 0.2755574 2702.2250
## X2014 0 54.467048 0.3043206 2947.3165
## X2015 0 56.908274 0.2651802 2996.2205
## X2016 0 69.840800 0.3817495 2989.6750
## X2017 0 68.557085 0.4136863 3565.1978
## X2018 0 76.324608 0.4192361 3863.8704
## X2019 0 78.945911 0.0000000 4119.5850
## X2020 0 88.440039 0.0000000 3996.6655
## X2021 0 0.000000 0.0000000 4260.8397
## NY.GDP.FRST.RT.ZS NE.GDI.FTOT.ZS SE.XPD.SECO.PC.ZS NY.GDP.MKTP.CN.AD
## X1960 0.0000000 0.00000 0.00000 0
## X1961 0.0000000 0.00000 0.00000 0
## X1962 0.0000000 0.00000 0.00000 0
## X1963 0.0000000 0.00000 0.00000 0
## X1964 0.0000000 0.00000 0.00000 0
## X1965 0.0000000 0.00000 0.00000 0
## X1966 0.0000000 0.00000 0.00000 0
## X1967 0.0000000 0.00000 0.00000 0
## X1968 0.0000000 0.00000 0.00000 0
## X1969 0.0000000 0.00000 0.00000 0
## X1970 1.5473355 0.00000 0.00000 0
## X1971 1.4022809 0.00000 0.00000 0
## X1972 1.1749585 0.00000 0.00000 0
## X1973 2.1133097 0.00000 0.00000 0
## X1974 1.9452247 0.00000 0.00000 0
## X1975 3.4361003 13.41500 0.00000 0
## X1976 2.2856620 14.04507 0.00000 0
## X1977 8.1378124 14.93634 0.00000 0
## X1978 6.9736540 16.69370 0.00000 0
## X1979 2.5712330 14.68827 0.00000 0
## X1980 2.9974788 15.76378 0.00000 0
## X1981 2.2421647 15.74322 0.00000 0
## X1982 3.1519333 17.63586 0.00000 0
## X1983 2.0878026 19.47867 0.00000 0
## X1984 1.6722567 17.53491 0.00000 0
## X1985 1.1524624 20.84317 0.00000 0
## X1986 1.8463708 18.16811 0.00000 0
## X1987 1.6801184 19.50864 0.00000 0
## X1988 1.5217235 19.92172 0.00000 0
## X1989 1.4887039 18.12051 0.00000 0
## X1990 1.7467039 16.12033 0.00000 111000000000
## X1991 1.5961613 18.40050 0.00000 133000000000
## X1992 1.8873557 19.17108 0.00000 164000000000
## X1993 1.5234800 21.21902 0.00000 189000000000
## X1994 1.2000271 21.09278 0.00000 214000000000
## X1995 1.3888115 22.06912 0.00000 235000000000
## X1996 1.3262492 22.53036 0.00000 267000000000
## X1997 1.0906674 21.67244 0.00000 301000000000
## X1998 1.2716801 21.73046 0.00000 323000000000
## X1999 1.3948185 19.08249 12.99079 367000000000
## X2000 1.1634389 19.32182 11.39166 407000000000
## X2001 1.0575600 19.19512 13.49722 442000000000
## X2002 1.1392196 19.56478 10.48057 459000000000
## X2003 1.2077250 19.92418 9.32593 492000000000
## X2004 0.8968325 20.34117 0.00000 537000000000
## X2005 0.7879058 19.94174 0.00000 589000000000
## X2006 1.0740152 20.72089 0.00000 654000000000
## X2007 1.3503133 21.06778 0.00000 728000000000
## X2008 1.0620043 21.87755 10.52313 816000000000
## X2009 0.9986743 21.35434 12.27842 988000000000
## X2010 1.4644631 22.20773 11.05385 1190000000000
## X2011 1.1063458 23.98238 11.58327 1560000000000
## X2012 0.9553315 23.99041 10.77751 1760000000000
## X2013 0.8287299 24.73023 9.68304 1950000000000
## X2014 0.8563725 25.25208 11.22859 2230000000000
## X2015 0.9315796 27.55381 10.45324 2420000000000
## X2016 1.0273794 28.70522 0.00000 2610000000000
## X2017 0.6987049 30.57544 0.00000 3080000000000
## X2018 0.4191378 32.43288 0.00000 3460000000000
## X2019 0.4407709 33.81513 0.00000 3860000000000
## X2020 0.5121566 30.46922 0.00000 3890000000000
## X2021 0.0000000 29.85193 0.00000 4280000000000
## NV.IND.MANF.ZS NE.TRD.GNFS.ZS GC.REV.XGRT.GD.ZS GB.XPD.RSDV.GD.ZS
## X1960 0.000000 0.00000 0.000000 0.00000
## X1961 0.000000 0.00000 0.000000 0.00000
## X1962 0.000000 0.00000 0.000000 0.00000
## X1963 0.000000 0.00000 0.000000 0.00000
## X1964 0.000000 0.00000 0.000000 0.00000
## X1965 3.284541 21.68868 0.000000 0.00000
## X1966 3.430308 14.40150 0.000000 0.00000
## X1967 3.413874 13.82697 0.000000 0.00000
## X1968 3.568939 14.34546 0.000000 0.00000
## X1969 3.844709 17.23231 0.000000 0.00000
## X1970 3.683850 13.20712 0.000000 0.00000
## X1971 3.759230 14.53345 0.000000 0.00000
## X1972 3.944450 13.57894 0.000000 0.00000
## X1973 4.002407 16.98265 0.000000 0.00000
## X1974 4.106808 15.99782 0.000000 0.00000
## X1975 4.007000 22.26782 0.000000 0.00000
## X1976 3.966885 24.95113 0.000000 0.00000
## X1977 4.259259 26.10532 0.000000 0.00000
## X1978 4.023920 26.04399 0.000000 0.00000
## X1979 3.817241 27.75152 0.000000 0.00000
## X1980 4.008394 30.27280 0.000000 0.00000
## X1981 3.841506 32.51914 0.000000 0.00000
## X1982 4.011231 30.39886 0.000000 0.00000
## X1983 4.324645 31.54621 0.000000 0.00000
## X1984 4.610307 30.10155 0.000000 0.00000
## X1985 5.390031 31.52879 0.000000 0.00000
## X1986 5.837700 31.96504 0.000000 0.00000
## X1987 5.856194 32.71989 0.000000 0.00000
## X1988 6.000832 33.82904 0.000000 0.00000
## X1989 5.440859 33.35093 0.000000 0.00000
## X1990 5.759264 32.18875 8.445308 0.00000
## X1991 6.376362 34.67506 8.408656 0.00000
## X1992 8.396065 41.69541 8.510658 0.00000
## X1993 8.320716 47.18958 8.141415 0.00000
## X1994 8.963126 50.43207 9.448894 0.00000
## X1995 8.922094 59.49052 10.542261 0.00000
## X1996 9.025643 58.45777 10.686867 0.00000
## X1997 8.846649 64.03553 10.442653 0.00000
## X1998 8.970400 56.70960 10.427629 0.00000
## X1999 8.869534 52.56698 10.148932 0.00000
## X2000 8.840859 55.71059 10.620362 0.00000
## X2001 8.699295 55.79992 10.451656 0.00000
## X2002 8.213424 46.23072 10.502935 0.00000
## X2003 7.887760 44.24788 10.905205 0.00000
## X2004 7.763964 46.14729 11.137534 0.00000
## X2005 7.615217 44.06295 11.547949 0.00000
## X2006 7.314045 44.76199 10.743674 0.00000
## X2007 7.168187 44.57928 11.869180 0.00000
## X2008 7.010904 46.03621 12.300388 0.05439
## X2009 6.622367 47.07945 14.129855 0.25924
## X2010 5.946139 45.98491 14.898356 0.30220
## X2011 5.396902 36.29675 13.056689 0.00000
## X2012 5.785223 37.92191 13.890901 0.00000
## X2013 5.750414 41.86538 15.168880 0.00000
## X2014 5.612191 45.98264 16.233886 0.00000
## X2015 5.356056 46.66573 16.992606 0.00000
## X2016 4.888190 42.11549 18.575934 0.00000
## X2017 4.855674 44.64241 19.937328 0.00000
## X2018 4.906475 48.44739 22.016897 0.00000
## X2019 4.981441 49.24953 22.401348 0.00000
## X2020 4.474854 40.91887 19.365427 0.00000
## X2021 4.665598 43.81123 0.000000 0.00000
## EG.USE.COMM.GD.PP.KD GC.NLD.TOTL.GD.ZS BN.CAB.XOKA.GD.ZS
## X1960 0.0000 0.0000000 0.00000000
## X1961 0.0000 0.0000000 0.00000000
## X1962 0.0000 0.0000000 0.00000000
## X1963 0.0000 0.0000000 0.00000000
## X1964 0.0000 0.0000000 0.00000000
## X1965 0.0000 0.0000000 0.00000000
## X1966 0.0000 0.0000000 0.00000000
## X1967 0.0000 0.0000000 0.00000000
## X1968 0.0000 0.0000000 0.00000000
## X1969 0.0000 0.0000000 0.00000000
## X1970 0.0000 0.0000000 0.00000000
## X1971 0.0000 0.0000000 0.00000000
## X1972 0.0000 0.0000000 0.00000000
## X1973 0.0000 0.0000000 0.00000000
## X1974 0.0000 0.0000000 0.00000000
## X1975 0.0000 0.0000000 0.00000000
## X1976 0.0000 0.0000000 1.27588721
## X1977 0.0000 0.0000000 -0.11400463
## X1978 0.0000 0.0000000 -1.60462964
## X1979 0.0000 0.0000000 -0.61444969
## X1980 0.0000 0.0000000 -1.99648846
## X1981 0.0000 0.0000000 -0.83959881
## X1982 0.0000 0.0000000 -3.56573550
## X1983 0.0000 0.0000000 -5.94853669
## X1984 0.0000 0.0000000 -3.68701219
## X1985 0.0000 0.0000000 -4.64183469
## X1986 0.0000 0.0000000 -4.18162338
## X1987 0.0000 0.0000000 -4.17053119
## X1988 0.0000 0.0000000 -7.78462323
## X1989 0.0000 0.0000000 -6.90133004
## X1990 189.8343 0.0000000 -7.97219763
## X1991 184.2496 0.0000000 -7.76258065
## X1992 181.2939 0.0000000 -5.33098805
## X1993 179.1825 0.0000000 -6.07919039
## X1994 171.4522 0.0000000 -8.65264353
## X1995 170.9216 0.0000000 -8.09774069
## X1996 166.1771 0.0000000 -7.22314977
## X1997 163.3054 0.0000000 -7.89001513
## X1998 162.6418 0.0000000 -1.38366225
## X1999 164.3394 0.0000000 -1.56303866
## X2000 163.3592 0.0000000 -2.37793696
## X2001 161.0080 0.0000000 -2.74157105
## X2002 162.5980 0.0000000 3.55629677
## X2003 160.8520 0.0000000 2.84759409
## X2004 155.8713 0.0000000 1.37422204
## X2005 155.7326 0.0000000 1.88302396
## X2006 150.6528 0.0000000 1.65950180
## X2007 148.5079 0.0000000 0.05481011
## X2008 144.8600 0.0000000 5.84548564
## X2009 142.6778 0.0000000 0.16658250
## X2010 140.1279 -1.3733796 -0.79746599
## X2011 140.2402 -0.8771367 1.33775141
## X2012 128.0725 -0.5433851 2.66070619
## X2013 137.5527 1.5020042 5.23137277
## X2014 135.0339 1.5633835 2.18298337
## X2015 0.0000 0.9294961 10.04331081
## X2016 0.0000 1.1766638 -0.68434695
## X2017 0.0000 -2.3858153 -3.56432921
## X2018 0.0000 -4.7542527 -8.30080494
## X2019 0.0000 -4.7937058 -5.12962915
## X2020 0.0000 -4.8968529 -0.25165346
## X2021 0.0000 0.0000000 -14.82296950
## BG.GSR.NFSV.GD.ZS NE.CON.PRVT.ZS GC.LBL.TOTL.GD.ZS FS.AST.PRVT.GD.ZS
## X1960 0.000000 0.00000 0.0000000 1.045701
## X1961 0.000000 0.00000 0.0000000 1.226252
## X1962 0.000000 0.00000 0.0000000 1.252858
## X1963 0.000000 0.00000 0.0000000 1.234835
## X1964 0.000000 0.00000 0.0000000 1.499104
## X1965 0.000000 0.00000 0.0000000 1.893966
## X1966 0.000000 0.00000 0.0000000 1.788971
## X1967 0.000000 0.00000 0.0000000 1.920499
## X1968 0.000000 0.00000 0.0000000 2.215252
## X1969 0.000000 0.00000 0.0000000 2.414527
## X1970 0.000000 0.00000 0.0000000 2.869526
## X1971 0.000000 0.00000 0.0000000 3.839785
## X1972 0.000000 0.00000 0.0000000 3.515286
## X1973 0.000000 0.00000 0.0000000 4.790851
## X1974 0.000000 0.00000 0.0000000 4.886009
## X1975 0.000000 82.38489 0.0000000 4.412528
## X1976 7.168954 80.83247 0.0000000 3.625963
## X1977 8.554517 79.21296 0.0000000 4.788194
## X1978 9.741828 79.16582 0.0000000 5.703932
## X1979 10.034047 79.86046 0.0000000 6.419986
## X1980 12.473076 82.20205 0.0000000 8.573937
## X1981 10.961583 82.07053 0.0000000 9.190318
## X1982 10.241447 81.55415 0.0000000 8.631729
## X1983 10.584185 81.33294 0.0000000 8.095972
## X1984 10.022610 80.88347 0.0000000 8.485910
## X1985 10.423893 76.53158 0.0000000 9.852316
## X1986 10.183036 79.28684 0.0000000 10.581617
## X1987 11.799229 78.82746 0.0000000 10.451585
## X1988 10.743440 79.67706 0.0000000 11.786207
## X1989 9.951683 79.68630 0.0000000 13.048651
## X1990 10.246662 84.34524 6.7815425 12.808656
## X1991 10.806999 82.48620 0.0000000 13.353850
## X1992 14.665631 81.27374 0.0000000 13.418316
## X1993 15.984446 79.27152 0.0000000 14.573098
## X1994 21.536783 82.01795 0.0000000 18.550122
## X1995 22.547074 75.09775 0.0000000 22.831436
## X1996 22.122252 76.37012 0.0000000 23.197764
## X1997 22.165372 77.13154 3.0626032 23.885074
## X1998 15.676918 76.91403 3.4978145 28.663082
## X1999 17.234855 77.46085 3.4847209 28.875948
## X2000 12.847598 75.87776 3.1885066 30.670621
## X2001 10.454617 80.23060 3.0245615 29.415910
## X2002 8.957206 82.11190 2.0163546 22.868901
## X2003 10.082726 82.77378 0.7855864 26.142574
## X2004 11.628826 79.60668 0.4549613 27.097330
## X2005 10.025242 79.54513 0.7924677 28.726151
## X2006 9.714350 82.33394 0.8842442 33.151386
## X2007 11.950105 80.98431 1.5379479 37.281506
## X2008 12.557626 80.27959 1.6047657 51.652646
## X2009 12.030192 79.78722 3.1337931 59.178455
## X2010 9.627178 78.55601 1.9035510 54.589988
## X2011 7.627863 84.67690 1.5171725 46.424644
## X2012 8.387897 82.98298 -0.5161680 48.754350
## X2013 9.800841 84.28670 -1.8021990 50.462271
## X2014 11.374642 82.63414 -0.1744826 54.467048
## X2015 10.801396 83.56273 0.1442695 56.908274
## X2016 10.622545 88.43112 2.1795673 69.840800
## X2017 11.107884 78.49671 2.2811162 68.557085
## X2018 10.632644 77.14685 5.6331098 76.324608
## X2019 9.750191 76.57950 4.0023216 78.945911
## X2020 5.918168 85.21291 8.0456838 88.440039
## X2021 6.369455 83.89272 0.0000000 0.000000
## BM.KLT.DINV.WD.GD.ZS NY.GDP.PCAP.KD NY.GDP.FCST.CN FS.AST.CGOV.GD.ZS
## X1960 0 327.7573 3818999800 0.002581978
## X1961 0 328.7351 3996999900 -0.157907727
## X1962 0 329.6883 4312999900 -0.038866026
## X1963 0 330.5043 4552000000 -0.353119584
## X1964 0 349.4890 4952999900 -0.806291045
## X1965 0 339.3382 5523999900 -0.403427355
## X1966 0 356.7400 6731000200 0.406715866
## X1967 0 344.6425 6324000100 0.567420100
## X1968 0 340.3637 7065000200 -2.371392657
## X1969 0 348.6234 7823999900 -2.623669413
## X1970 0 350.4969 8713000000 -2.281021898
## X1971 0 339.3001 8775000400 -0.735484382
## X1972 0 342.6728 10130000400 0.012482486
## X1973 0 333.9002 9765000400 0.216202118
## X1974 0 347.5028 12424999500 0.711847237
## X1975 0 344.9690 15935999800 1.349583520
## X1976 0 352.2911 16588999900 3.014832718
## X1977 0 354.9240 16255000000 4.484375000
## X1978 0 362.3191 18426000800 4.330022123
## X1979 0 362.5807 20779000100 4.762097660
## X1980 0 346.1643 21885999100 5.426407527
## X1981 0 366.4794 25465999900 4.934714158
## X1982 0 371.5721 29036999200 7.935330010
## X1983 0 352.1976 31643000100 12.472156400
## X1984 0 377.4591 37003999200 13.402132830
## X1985 0 391.6029 44015000000 14.441677760
## X1986 0 400.4239 52717000000 13.689972000
## X1987 0 398.3404 60372000000 13.130245520
## X1988 0 419.5476 72214000000 12.636595320
## X1989 0 427.6444 84511000000 13.374855770
## X1990 0 436.5675 97748000000 13.206563780
## X1991 0 452.4033 117000000000 13.214028970
## X1992 0 458.3947 145000000000 12.809073670
## X1993 0 463.2257 166000000000 12.414988450
## X1994 0 488.1589 187000000000 10.174184030
## X1995 0 492.5622 205000000000 10.342694190
## X1996 0 506.7291 233000000000 9.801135336
## X1997 0 520.6587 263000000000 9.753740877
## X1998 0 525.3586 282000000000 9.325067726
## X1999 0 537.9920 321000000000 9.382202794
## X2000 0 561.0588 356000000000 9.594466508
## X2001 0 578.1837 413000000000 10.888104360
## X2002 0 570.0166 430000000000 9.995384193
## X2003 0 584.1115 460000000000 10.581672430
## X2004 0 603.3215 501000000000 11.031734500
## X2005 0 616.4268 548000000000 10.652444130
## X2006 0 629.2918 611000000000 9.976367737
## X2007 0 642.9684 676000000000 11.364171080
## X2008 0 674.9538 755000000000 11.509133150
## X2009 0 699.8562 910000000000 8.474245342
## X2010 0 730.0427 1080000000000 11.188024880
## X2011 0 754.2413 1440000000000 10.627388540
## X2012 0 790.9881 1620000000000 8.791581518
## X2013 0 821.0732 1780000000000 8.049208870
## X2014 0 870.7817 2020000000000 5.761101762
## X2015 0 901.7496 2190000000000 6.655794990
## X2016 0 897.4038 2340000000000 1.482233943
## X2017 0 964.8978 2720000000000 2.566531806
## X2018 0 1021.3319 3010000000000 9.613530164
## X2019 0 1069.7891 3340000000000 9.632236558
## X2020 0 1025.5091 3430000000000 13.678851060
## X2021 0 1049.6760 3660000000000 0.000000000
## EN.ATM.CO2E.PP.GD EG.GDP.PUSE.KO.PP.KD EG.EGY.PRIM.PP.KD
## X1960 0.00000000 0.000000 0.00
## X1961 0.00000000 0.000000 0.00
## X1962 0.00000000 0.000000 0.00
## X1963 0.00000000 0.000000 0.00
## X1964 0.00000000 0.000000 0.00
## X1965 0.00000000 0.000000 0.00
## X1966 0.00000000 0.000000 0.00
## X1967 0.00000000 0.000000 0.00
## X1968 0.00000000 0.000000 0.00
## X1969 0.00000000 0.000000 0.00
## X1970 0.00000000 0.000000 0.00
## X1971 0.00000000 0.000000 0.00
## X1972 0.00000000 0.000000 0.00
## X1973 0.00000000 0.000000 0.00
## X1974 0.00000000 0.000000 0.00
## X1975 0.00000000 0.000000 0.00
## X1976 0.00000000 0.000000 0.00
## X1977 0.00000000 0.000000 0.00
## X1978 0.00000000 0.000000 0.00
## X1979 0.00000000 0.000000 0.00
## X1980 0.00000000 0.000000 0.00
## X1981 0.00000000 0.000000 0.00
## X1982 0.00000000 0.000000 0.00
## X1983 0.00000000 0.000000 0.00
## X1984 0.00000000 0.000000 0.00
## X1985 0.00000000 0.000000 0.00
## X1986 0.00000000 0.000000 0.00
## X1987 0.00000000 0.000000 0.00
## X1988 0.00000000 0.000000 0.00
## X1989 0.00000000 0.000000 0.00
## X1990 0.05804187 5.267751 0.00
## X1991 0.06625826 5.427419 0.00
## X1992 0.06486338 5.515904 0.00
## X1993 0.06994128 5.580901 0.00
## X1994 0.07809007 5.832529 0.00
## X1995 0.08071972 5.850637 0.00
## X1996 0.07763495 6.017677 0.00
## X1997 0.08117639 6.123498 0.00
## X1998 0.08254798 6.148479 0.00
## X1999 0.10484380 6.084969 0.00
## X2000 0.09963000 6.121478 6.83
## X2001 0.09990189 6.210871 6.73
## X2002 0.07922530 6.150135 6.79
## X2003 0.08090496 6.216894 6.72
## X2004 0.07003183 6.415549 6.51
## X2005 0.07449332 6.421264 6.51
## X2006 0.05741933 6.637777 6.29
## X2007 0.05550843 6.733650 6.21
## X2008 0.05705488 6.903217 6.05
## X2009 0.07037605 7.008797 5.96
## X2010 0.07934026 7.136336 5.85
## X2011 0.08422399 7.130624 5.86
## X2012 0.08873322 7.808075 5.39
## X2013 0.08372834 7.269943 5.86
## X2014 0.08991122 7.405549 5.72
## X2015 0.08882795 0.000000 5.47
## X2016 0.12771628 0.000000 5.93
## X2017 0.12667996 0.000000 5.76
## X2018 0.13992495 0.000000 5.68
## X2019 0.11412229 0.000000 5.23
## X2020 0.00000000 0.000000 0.00
## X2021 0.00000000 0.000000 0.00
## GC.NFN.TOTL.GD.ZS FM.LBL.BMNY.GD.ZS NY.GDP.PCAP.KD.ZG NY.GDP.FCST.KD
## X1960 0.000000 5.411826 0.00000000 0
## X1961 0.000000 6.323711 0.29834076 0
## X1962 0.000000 6.097394 0.28994631 0
## X1963 0.000000 7.259532 0.24750329 0
## X1964 0.000000 8.333665 5.74417617 0
## X1965 0.000000 9.378793 -2.90447420 3686900953
## X1966 0.000000 8.046027 5.12816324 3942894641
## X1967 0.000000 9.378020 -3.39112902 3883721670
## X1968 0.000000 10.009759 -1.24152822 3906404576
## X1969 0.000000 11.551660 2.42673629 4059550032
## X1970 0.000000 10.507527 0.53739819 4223262069
## X1971 0.000000 12.281270 -3.19453585 4122527100
## X1972 0.000000 12.372456 0.99402214 4230165653
## X1973 0.000000 16.489116 -2.56007615 4221289620
## X1974 0.000000 15.028889 4.07387424 4445442468
## X1975 0.000000 13.033613 -0.72914581 4470943244
## X1976 0.000000 15.950328 2.12253668 4629019828
## X1977 0.000000 19.436921 0.74735990 4703408606
## X1978 0.000000 20.358807 2.08356707 4874587454
## X1979 0.000000 20.986721 0.07221786 4998287522
## X1980 0.000000 23.464092 -4.52766008 4892480325
## X1981 0.000000 23.878127 5.86861738 5274146242
## X1982 0.000000 25.451788 1.38964441 5499708027
## X1983 0.000000 28.066351 -5.21421438 5337264118
## X1984 0.000000 27.230262 7.17255716 5867425978
## X1985 0.000000 27.719916 3.74710653 6201331212
## X1986 0.000000 27.657024 2.25253496 6492969548
## X1987 0.000000 29.542622 -0.52032719 6597931325
## X1988 0.000000 29.974774 5.32388485 7058221481
## X1989 0.000000 31.233799 1.92989342 7424281841
## X1990 0.000000 32.014485 2.08656129 7756008525
## X1991 0.000000 32.820010 3.62733856 8254660930
## X1992 0.000000 32.061089 1.32434906 8631620681
## X1993 0.000000 34.842272 1.05390327 8902297081
## X1994 0.000000 36.242071 5.38252066 9589126121
## X1995 0.000000 38.034904 0.90201053 9843288724
## X1996 0.000000 37.577346 2.87617208 10391061698
## X1997 0.000000 43.195227 2.74891542 10896004686
## X1998 0.000000 44.779371 0.90269241 11256114694
## X1999 0.000000 47.925811 2.40472279 11751899955
## X2000 0.000000 51.336474 4.28756507 12467303013
## X2001 0.000000 51.525949 3.05224250 13065701954
## X2002 0.000000 50.832450 -1.41254510 13086686566
## X2003 0.000000 52.294335 2.47272122 13579919754
## X2004 0.000000 54.232255 3.28876045 14178960894
## X2005 0.000000 54.198726 2.17219893 14637556830
## X2006 0.000000 57.135336 2.08701725 15183346358
## X2007 0.000000 60.860186 2.17333410 15601015982
## X2008 0.000000 75.400096 4.97464100 16505155680
## X2009 0.000000 80.663112 3.68949715 17149610807
## X2010 3.868159 73.242161 4.31324695 17879868977
## X2011 3.159511 66.489451 3.31468974 18561742448
## X2012 2.915854 67.717978 4.87202271 19480713938
## X2013 2.783751 74.315550 3.80347746 20079553984
## X2014 2.978005 75.360519 6.05408683 21232603795
## X2015 3.648394 86.380396 3.55633539 21978324247
## X2016 4.688308 94.205860 -0.48193197 21978879123
## X2017 6.754082 89.404971 7.52102989 23866727131
## X2018 0.000000 95.331783 5.84871083 25626474621
## X2019 0.000000 97.169878 4.74451271 27262952301
## X2020 0.000000 117.749455 -4.13913223 26602290156
## X2021 0.000000 0.000000 2.35657179 27621363368
## NY.GDP.TOTL.RT.ZS NY.GDP.MKTP.CN NE.RSB.GNFS.ZS MS.MIL.XPND.GD.ZS
## X1960 0.0000000 3872999900 0.00000000 0.0000000
## X1961 0.0000000 4052999900 0.00000000 0.0000000
## X1962 0.0000000 4374000100 0.00000000 0.0000000
## X1963 0.0000000 4616000000 0.00000000 0.0000000
## X1964 0.0000000 5023000100 0.00000000 0.0000000
## X1965 0.0000000 5601999900 -6.15851493 0.0000000
## X1966 0.0000000 6909000200 -3.11188296 0.0000000
## X1967 0.0000000 6415000100 -0.07794232 0.0000000
## X1968 0.0000000 7173000200 -0.65523489 0.0000000
## X1969 0.0000000 7984999900 -3.20601131 0.0000000
## X1970 1.5473355 8768000000 -3.39872263 0.5930193
## X1971 1.4022809 8938000400 -3.72566553 0.6179106
## X1972 1.1749585 10369000400 -2.25672669 0.6475563
## X1973 2.1133097 9969000400 -3.76166100 0.6576810
## X1974 2.0397637 12807999500 -5.09837699 0.6072365
## X1975 3.4361003 16570999800 -4.46563279 0.6821728
## X1976 2.2856620 17393999900 -3.40347191 0.8562612
## X1977 9.1726880 17280000000 -2.52893518 0.8921431
## X1978 8.0551184 19732000800 -4.90066826 0.8584643
## X1979 4.1515731 22215000100 -4.18185999 0.9112057
## X1980 4.4428523 23350999000 -7.19027053 1.0320757
## X1981 2.6080439 27306999800 -6.71622702 0.9920533
## X1982 3.3315935 30987999200 -7.21569562 1.0894540
## X1983 2.7155831 33760000000 -11.08412382 1.2529250
## X1984 1.8650212 39389999100 -8.79664960 1.2206144
## X1985 1.1524624 46586000000 -8.47035676 1.1958272
## X1986 1.8463708 55724000000 -8.64044218 1.1828507
## X1987 1.6801184 63864000000 -9.09333897 1.1591820
## X1988 1.5217235 76906000000 -10.93469950 1.0837906
## X1989 1.4887039 89269000000 -11.21571878 1.1065431
## X1990 1.7467039 103000000000 -11.13413592 1.0771544
## X1991 1.5961613 124000000000 -11.69355256 1.0966096
## X1992 1.8873557 153000000000 -9.77596088 1.0746898
## X1993 1.5234800 176000000000 -10.32365296 1.0505526
## X1994 1.2000271 199000000000 -12.44419688 0.9733154
## X1995 1.3888115 219000000000 -9.54420043 0.9414851
## X1996 1.3262492 249000000000 -12.82261842 0.9007163
## X1997 1.0906674 281000000000 -11.37986475 0.8807078
## X1998 1.2716801 301000000000 -11.06549884 0.9270555
## X1999 1.3948185 342000000000 -6.87003707 0.9473696
## X2000 1.1670198 379000000000 -9.14258158 0.9621503
## X2001 1.0606151 442000000000 -10.67837364 1.0983344
## X2002 1.1417770 459000000000 -10.75645945 1.4476500
## X2003 1.2100535 492000000000 -12.84815463 1.5922511
## X2004 0.9016973 537000000000 -12.78189619 1.7932924
## X2005 0.7926679 589000000000 -14.89557389 1.9291614
## X2006 1.0818210 654000000000 -17.86880584 1.7491099
## X2007 1.3569306 728000000000 -18.86794527 1.5473939
## X2008 1.0743739 816000000000 -20.48456584 1.5999717
## X2009 1.0048510 988000000000 -22.24073939 1.6454486
## X2010 1.4723143 1190000000000 -26.81983343 1.5636664
## X2011 1.1139868 1560000000000 -20.68448362 1.5406516
## X2012 0.9610862 1760000000000 -20.42132348 1.4318324
## X2013 0.8336885 1950000000000 -23.27605838 1.5418601
## X2014 0.8606941 2230000000000 -25.73455737 1.6293411
## X2015 0.9348526 2420000000000 -26.23655320 1.5566301
## X2016 1.0311785 2610000000000 -25.75633004 1.7008977
## X2017 0.7031775 3080000000000 -29.01803331 1.7085445
## X2018 0.4240534 3460000000000 -32.81610490 1.5392340
## X2019 0.4429674 3860000000000 -33.68965364 1.3765952
## X2020 0.5140431 3890000000000 -27.30828594 1.3635856
## X2021 0.0000000 4280000000000 -33.39276732 0.0000000
## NY.GDP.NGAS.RT.ZS NY.GDP.DISC.CN NV.IND.TOTL.ZS NE.GDI.FPRV.ZS
## X1960 0 0.0000000 0.000000 0.000000
## X1961 0 0.0000000 0.000000 0.000000
## X1962 0 0.0000000 0.000000 0.000000
## X1963 0 0.0000000 0.000000 0.000000
## X1964 0 0.0000000 0.000000 0.000000
## X1965 0 0.0000000 10.853267 0.000000
## X1966 0 0.0000000 9.031698 0.000000
## X1967 0 0.0000000 9.820733 0.000000
## X1968 0 0.0000000 10.079464 0.000000
## X1969 0 0.0000000 10.356919 0.000000
## X1970 0 0.0000000 11.462135 0.000000
## X1971 0 0.0000000 9.140747 0.000000
## X1972 0 0.0000000 9.094416 0.000000
## X1973 0 0.0000000 9.589728 0.000000
## X1974 0 0.0000000 8.705498 0.000000
## X1975 0 0.0000000 7.863135 10.367510
## X1976 0 100.0000000 8.445440 10.411637
## X1977 0 100.0000000 10.538194 10.949074
## X1978 0 -100.0000000 11.144334 11.053111
## X1979 0 100.0000000 11.204141 9.565608
## X1980 0 0.0000000 11.168687 9.485676
## X1981 0 0.0000000 11.528180 9.067272
## X1982 0 -100.0000000 12.046599 9.610172
## X1983 0 100.0000000 11.993483 10.767180
## X1984 0 0.0000000 11.832953 9.565880
## X1985 0 0.0000000 14.272528 13.053278
## X1986 0 0.0000000 14.998923 11.153184
## X1987 0 0.0000000 14.961481 12.106977
## X1988 0 0.0000000 15.182170 12.792240
## X1989 0 0.0000000 15.654931 9.268615
## X1990 0 0.0000000 15.346755 8.415526
## X1991 0 0.0000000 16.447363 11.386822
## X1992 0 -0.0000153 19.398302 12.406165
## X1993 0 0.0000000 19.520497 14.519985
## X1994 0 0.0000000 20.391726 14.378337
## X1995 0 0.0000000 21.273868 15.193339
## X1996 0 -100.0000000 21.493052 15.449977
## X1997 0 0.0000000 21.400434 14.759387
## X1998 0 0.0000000 21.075969 14.227260
## X1999 0 0.0000000 20.441123 12.098434
## X2000 0 0.0000000 20.735570 12.355595
## X2001 0 -200000.0000000 16.660908 15.104009
## X2002 0 -392700.0000000 16.946825 15.769094
## X2003 0 -219000.0000000 16.971300 16.933919
## X2004 0 -56800.0000200 16.657320 17.554947
## X2005 0 445300.0000000 16.467089 17.021370
## X2006 0 -122000.0000000 16.067967 18.044013
## X2007 0 -705900.0000000 15.873140 17.681674
## X2008 0 121600.0000000 16.049987 17.832597
## X2009 0 276400.0000000 15.066803 16.873998
## X2010 0 333600.0000000 14.200762 17.708552
## X2011 0 50385.2318100 13.393468 19.363799
## X2012 0 16515611357.0000000 13.977162 20.135551
## X2013 0 34666575605.0000000 13.798338 20.887615
## X2014 0 91827925928.0000000 13.564565 21.034877
## X2015 0 62636228548.0000000 13.161655 23.206676
## X2016 0 30207725224.0000000 12.655418 23.229324
## X2017 0 144000000000.0000000 12.862586 22.661094
## X2018 0 279000000000.0000000 13.200640 25.105548
## X2019 0 294000000000.0000000 13.010675 28.065465
## X2020 0 101000000000.0000000 12.047320 25.150492
## X2021 0 227000000000.0000000 11.722516 23.523550
## GC.DOD.TOTL.GD.ZS FS.AST.DOMO.GD.ZS EN.ATM.CO2E.PP.GD.KD
## X1960 0.00000 0 0.00000000
## X1961 0.00000 0 0.00000000
## X1962 0.00000 0 0.00000000
## X1963 0.00000 0 0.00000000
## X1964 0.00000 0 0.00000000
## X1965 0.00000 0 0.00000000
## X1966 0.00000 0 0.00000000
## X1967 0.00000 0 0.00000000
## X1968 0.00000 0 0.00000000
## X1969 0.00000 0 0.00000000
## X1970 0.00000 0 0.00000000
## X1971 0.00000 0 0.00000000
## X1972 0.00000 0 0.00000000
## X1973 0.00000 0 0.00000000
## X1974 0.00000 0 0.00000000
## X1975 0.00000 0 0.00000000
## X1976 0.00000 0 0.00000000
## X1977 0.00000 0 0.00000000
## X1978 0.00000 0 0.00000000
## X1979 0.00000 0 0.00000000
## X1980 0.00000 0 0.00000000
## X1981 0.00000 0 0.00000000
## X1982 0.00000 0 0.00000000
## X1983 0.00000 0 0.00000000
## X1984 0.00000 0 0.00000000
## X1985 0.00000 0 0.00000000
## X1986 0.00000 0 0.00000000
## X1987 0.00000 0 0.00000000
## X1988 0.00000 0 0.00000000
## X1989 0.00000 0 0.00000000
## X1990 52.62058 0 0.03082382
## X1991 64.91143 0 0.03637718
## X1992 61.65692 0 0.03642291
## X1993 63.68154 0 0.04020525
## X1994 66.54121 0 0.04584811
## X1995 66.18364 0 0.04838579
## X1996 65.19788 0 0.04738875
## X1997 59.88243 0 0.05040493
## X1998 66.35144 0 0.05183350
## X1999 64.06811 0 0.06676123
## X2000 64.57332 0 0.06487854
## X2001 58.98914 0 0.06652126
## X2002 63.93546 0 0.05357561
## X2003 62.58820 0 0.05579125
## X2004 59.41567 0 0.04958964
## X2005 51.76462 0 0.05440294
## X2006 49.68697 0 0.04322759
## X2007 42.97866 0 0.04291835
## X2008 43.79999 0 0.04496012
## X2009 0.00000 0 0.05581287
## X2010 33.86252 0 0.06367827
## X2011 0.00000 0 0.06900243
## X2012 0.00000 0 0.07606583
## X2013 0.00000 0 0.07457783
## X2014 0.00000 0 0.08236242
## X2015 0.00000 0 0.07987946
## X2016 0.00000 0 0.11515426
## X2017 0.00000 0 0.12667996
## X2018 0.00000 0 0.14326778
## X2019 0.00000 0 0.11893877
## X2020 0.00000 0 0.00000000
## X2021 0.00000 0 0.00000000
## BX.KLT.DINV.WD.GD.ZS NY.GDP.PCAP.KN NY.GDP.FCST.KN NE.IMP.GNFS.ZS
## X1960 0.000000000 25056.70 0 0.000000
## X1961 0.000000000 25131.46 0 0.000000
## X1962 0.000000000 25204.33 0 0.000000
## X1963 0.000000000 25266.71 0 0.000000
## X1964 0.000000000 26718.07 0 0.000000
## X1965 0.000000000 25942.05 285000000000 13.923599
## X1966 0.000000000 27272.40 305000000000 8.756694
## X1967 0.000000000 26347.56 300000000000 6.952455
## X1968 0.000000000 26020.45 302000000000 7.500348
## X1969 0.000000000 26651.89 314000000000 10.219161
## X1970 0.000000000 26795.12 327000000000 8.302920
## X1971 0.000000000 25939.14 319000000000 9.129559
## X1972 0.002929405 26196.98 327000000000 7.917832
## X1973 -0.001028699 25526.32 327000000000 10.372153
## X1974 0.020526234 26566.23 344000000000 10.548096
## X1975 0.000000000 26372.52 346000000000 13.366726
## X1976 -0.002753317 26932.29 358000000000 14.177302
## X1977 0.000000000 27133.57 364000000000 14.317129
## X1978 0.025558508 27698.92 377000000000 15.472328
## X1979 0.016205267 27718.92 387000000000 15.966690
## X1980 0.015416899 26463.90 379000000000 18.731533
## X1981 -0.010107299 28016.97 408000000000 19.617681
## X1982 -0.001252385 28406.30 425000000000 18.807280
## X1983 -0.024518069 26925.14 413000000000 21.315167
## X1984 0.036804482 28856.36 454000000000 19.449100
## X1985 0.024809975 29937.64 480000000000 19.999571
## X1986 0.041041331 30611.99 502000000000 20.302742
## X1987 0.047003039 30452.71 510000000000 20.906614
## X1988 0.019500949 32073.98 546000000000 22.381869
## X1989 0.011914122 32692.97 574000000000 22.283323
## X1990 0.163746322 33375.13 600000000000 21.661445
## X1991 0.056611336 34585.76 639000000000 23.184304
## X1992 0.000000000 35043.80 668000000000 25.735687
## X1993 0.000000000 35413.12 689000000000 28.756617
## X1994 0.000000000 37319.24 742000000000 31.438135
## X1995 0.000000000 37655.87 762000000000 34.517359
## X1996 0.423749430 38738.91 804000000000 35.640194
## X1997 0.468752021 39803.81 843000000000 37.707700
## X1998 0.247611787 40163.12 871000000000 33.887550
## X1999 0.086439766 41128.93 909000000000 29.718509
## X2000 -0.008824253 42892.36 965000000000 32.426585
## X2001 0.347091875 44201.54 1010000000000 33.239147
## X2002 -0.098374869 43577.17 1010000000000 28.493589
## X2003 0.233443621 44654.71 1050000000000 28.548019
## X2004 -0.005737557 46123.30 1100000000000 29.464591
## X2005 0.030156296 47125.19 1130000000000 29.479261
## X2006 -0.073509433 48108.70 1170000000000 31.315397
## X2007 0.055606415 49154.27 1210000000000 31.723610
## X2008 0.007932157 51599.51 1280000000000 33.260386
## X2009 0.297715389 53503.28 1330000000000 34.660094
## X2010 0.548294666 55811.00 1380000000000 36.402370
## X2011 0.435815132 57660.97 1440000000000 28.490618
## X2012 0.423691401 60470.22 1510000000000 29.171615
## X2013 0.334712270 62770.19 1550000000000 32.570717
## X2014 0.133746295 66570.35 1640000000000 35.858599
## X2015 0.213029579 68937.82 1700000000000 36.451142
## X2016 0.432213143 68605.59 1700000000000 33.935908
## X2017 0.677439878 73765.43 1850000000000 36.830222
## X2018 0.206157198 78079.76 1980000000000 40.631746
## X2019 0.542801816 81784.26 2110000000000 41.469590
## X2020 0.378738964 78399.10 2060000000000 34.113576
## X2021 0.000000000 80246.64 2140000000000 38.601998
## NY.GNS.ICTR.ZS NY.GDP.PCAP.CD NY.GDP.DISC.KN NV.AGR.TOTL.ZS
## X1960 0.00000 50.30494 0 0.00000
## X1961 0.00000 51.81125 0 0.00000
## X1962 0.00000 55.02569 0 0.00000
## X1963 0.00000 46.86145 0 0.00000
## X1964 0.00000 46.00340 0 0.00000
## X1965 0.00000 67.00747 0 64.58408
## X1966 0.00000 81.16442 0 68.69301
## X1967 0.00000 73.96790 0 66.23538
## X1968 0.00000 66.54894 0 67.39160
## X1969 0.00000 66.63835 0 66.42455
## X1970 0.00000 71.71859 0 66.86816
## X1971 0.00000 71.62988 0 66.83822
## X1972 0.00000 81.38657 0 67.84646
## X1973 0.00000 75.63696 0 65.33253
## X1974 0.00000 92.75222 0 68.41818
## X1975 0.00000 117.41775 0 69.00609
## X1976 15.32127 105.89282 0 66.08601
## X1977 17.44328 98.54201 0 60.12153
## X1978 17.42714 111.80661 0 58.86884
## X1979 16.46995 126.13331 0 60.16205
## X1980 17.29648 129.58602 0 57.89902
## X1981 16.89507 148.08026 0 56.79862
## X1982 16.40123 152.28967 0 57.16729
## X1983 14.50574 151.99255 0 56.52251
## X1984 16.01259 156.65054 0 57.29881
## X1985 18.62311 155.40782 0 48.85803
## X1986 15.51951 165.36183 0 48.69715
## X1987 16.80707 167.79994 0 47.95033
## X1988 14.84428 193.49965 0 47.79211
## X1989 13.24642 191.12085 0 47.68957
## X1990 10.33420 191.87888 0 48.80289
## X1991 11.71677 202.08059 0 44.72339
## X1992 15.10886 170.58665 0 42.66526
## X1993 16.62517 178.62599 0 39.89595
## X1994 13.99204 193.27955 0 40.44171
## X1995 21.00779 203.98078 0 39.04141
## X1996 20.38508 204.68576 0 38.92766
## X1997 19.11054 217.78798 0 38.78073
## X1998 20.13193 210.61156 0 37.39301
## X1999 20.47124 214.10670 0 38.70148
## X2000 21.73051 229.49039 0 38.24390
## X2001 18.55022 246.72556 0 35.24767
## X2002 25.13148 244.72084 0 36.15030
## X2003 25.12677 252.40235 0 35.10588
## X2004 27.57583 286.15767 0 34.67636
## X2005 30.68572 315.80563 0 33.82490
## X2006 29.50425 346.94533 0 32.36649
## X2007 31.05887 391.38006 0 31.16441
## X2008 36.65691 470.45546 0 30.30572
## X2009 37.24818 478.17325 0 31.32265
## X2010 37.75048 592.40121 0 33.17938
## X2011 29.51621 797.81395 0 30.80548
## X2012 34.55534 804.14161 0 30.07606
## X2013 37.08133 823.35987 0 28.62266
## X2014 39.58970 844.85312 0 27.46190
## X2015 40.08823 901.74961 0 26.51851
## X2016 35.30510 899.52358 0 25.51788
## X2017 41.88065 1048.45376 0 23.69955
## X2018 42.60312 1178.52596 0 22.33467
## X2019 42.18751 1194.95724 0 21.58337
## X2020 32.81976 1147.47197 0 22.18009
## X2021 32.62384 1222.87879 0 21.31989
## CM.MKT.TRAD.GD.ZS CM.MKT.LCAP.GD.ZS PA.NUS.PPP NY.GDP.MKTP.PP.CD
## X1960 0 0 0.000000 0
## X1961 0 0 0.000000 0
## X1962 0 0 0.000000 0
## X1963 0 0 0.000000 0
## X1964 0 0 0.000000 0
## X1965 0 0 0.000000 0
## X1966 0 0 0.000000 0
## X1967 0 0 0.000000 0
## X1968 0 0 0.000000 0
## X1969 0 0 0.000000 0
## X1970 0 0 0.000000 0
## X1971 0 0 0.000000 0
## X1972 0 0 0.000000 0
## X1973 0 0 0.000000 0
## X1974 0 0 0.000000 0
## X1975 0 0 0.000000 0
## X1976 0 0 0.000000 0
## X1977 0 0 0.000000 0
## X1978 0 0 0.000000 0
## X1979 0 0 0.000000 0
## X1980 0 0 0.000000 0
## X1981 0 0 0.000000 0
## X1982 0 0 0.000000 0
## X1983 0 0 0.000000 0
## X1984 0 0 0.000000 0
## X1985 0 0 0.000000 0
## X1986 0 0 0.000000 0
## X1987 0 0 0.000000 0
## X1988 0 0 0.000000 0
## X1989 0 0 0.000000 0
## X1990 0 0 6.855172 16195204675
## X1991 0 0 7.462756 17809100163
## X1992 0 0 8.645529 18962933642
## X1993 0 0 9.355324 20159768606
## X1994 0 0 9.600856 22281961821
## X1995 0 0 9.996182 23538237236
## X1996 0 0 10.584390 25246362676
## X1997 0 0 11.162351 26978289337
## X1998 0 0 11.491542 28104868450
## X1999 0 0 12.338917 29758555947
## X2000 0 0 12.605191 32319580727
## X2001 0 0 12.748132 34633980664
## X2002 0 0 13.046420 35216021000
## X2003 0 0 13.186732 37327748401
## X2004 0 0 13.377053 40124608887
## X2005 0 0 13.764031 42822630163
## X2006 0 0 14.334758 45629232067
## X2007 0 0 15.018784 48461112328
## X2008 0 0 15.564305 52405679687
## X2009 0 0 17.925433 55132393547
## X2010 0 0 20.395475 58482287147
## X2011 0 0 25.254612 61740123574
## X2012 0 0 26.004440 67618420433
## X2013 0 0 26.799870 72735235363
## X2014 0 0 28.152746 79300444355
## X2015 0 0 29.942535 80942994654
## X2016 0 0 31.998810 81508795260
## X2017 0 0 31.234983 98515977279
## X2018 0 0 31.834994 109000000000
## X2019 0 0 32.742748 118000000000
## X2020 0 0 33.393741 116000000000
## X2021 0 0 33.828688 126000000000
## NY.GDP.DEFL.ZS NE.EXP.GNFS.ZS NY.GDP.PCAP.CN NY.GDP.FCST.CD
## X1960 1.529624 0.000000 383.2733 501246857
## X1961 1.570740 0.000000 394.7499 524609516
## X1962 1.663368 0.000000 419.2407 566084775
## X1963 1.722749 0.000000 435.2820 490057812
## X1964 1.743331 0.000000 465.7845 489185175
## X1965 1.967963 7.765084 510.5299 725029518
## X1966 2.267463 5.644811 618.3917 883449298
## X1967 2.138951 6.874513 563.5614 830030201
## X1968 2.375644 6.845113 618.1531 760601613
## X1969 2.531577 7.013150 674.7133 772740731
## X1970 2.710011 4.904197 726.1507 860543210
## X1971 2.795977 5.403893 725.2525 866666706
## X1972 3.145549 5.661105 824.0391 1000493867
## X1973 3.038686 6.610492 775.6646 952209184
## X1974 3.671512 5.449719 975.3824 1181532855
## X1975 4.682013 8.901093 1234.7650 1515405078
## X1976 4.707485 10.773830 1267.8336 1385557255
## X1977 4.539672 11.788194 1231.7751 1300400000
## X1978 4.965094 10.571660 1375.2773 1497987952
## X1979 5.460529 11.784830 1513.5997 1731583342
## X1980 5.876050 11.541263 1555.0323 1823833258
## X1981 6.342454 12.901454 1776.9632 2122166658
## X1982 6.935309 11.591584 1970.0649 2244613931
## X1983 7.787567 10.231043 2096.8133 2293718974
## X1984 8.284254 10.652450 2390.5342 2424853981
## X1985 9.230468 11.529214 2763.3841 2475325479
## X1986 10.558970 11.662300 3232.3111 2696949388
## X1987 11.899621 11.813275 3623.7573 2795556523
## X1988 13.305598 11.447169 4267.6347 3274268873
## X1989 14.803592 11.067605 4839.7343 3337334981
## X1990 16.389928 10.527309 5470.1600 3428743809
## X1991 18.445985 11.490751 6379.6842 3714570795
## X1992 21.856481 15.959726 7659.3406 3234463252
## X1993 24.211497 18.432964 8574.0474 3457916667
## X1994 25.377519 18.993938 9470.6980 3818836735
## X1995 26.976522 24.973159 10158.2429 4114738956
## X1996 29.086905 22.817575 11267.9508 4240799273
## X1997 31.204168 26.327835 12420.4486 4603910223
## X1998 32.485988 22.822051 13047.3862 4550476190
## X1999 35.373033 22.848472 14548.5505 4717880795
## X2000 36.955069 23.284004 15850.9014 5147574924
## X2001 41.026464 22.560774 18134.3285 5624870748
## X2002 42.640797 17.737130 18581.6537 5668339260
## X2003 43.949999 15.699864 19625.7468 5920137147
## X2004 45.781144 16.682695 21115.7750 6785394365
## X2005 48.582671 14.583687 22894.6765 7565717328
## X2006 52.158374 13.446591 25092.7170 8449644451
## X2007 56.124126 12.855665 27587.4018 9588352545
## X2008 59.278221 12.775820 30587.2733 11616425419
## X2009 68.708396 12.419354 36761.2424 11830719902
## X2010 79.115610 9.582536 44155.2164 14535459375
## X2011 100.000000 7.806134 57660.9659 19869929072
## X2012 107.741150 8.750291 65151.3118 19975684930
## X2013 115.372080 9.294659 72419.2765 20206662643
## X2014 124.642649 10.124042 82975.0530 20592668320
## X2015 130.138200 10.214589 89714.4373 21978324247
## X2016 139.443517 8.179578 95666.0419 22015610883
## X2017 150.963521 7.812189 111358.8945 25614337303
## X2018 157.539278 7.815641 123006.2897 28848666957
## X2019 164.929691 7.779936 134886.5338 29610972525
## X2020 170.236143 6.805290 133463.6124 29477215821
## X2021 179.619511 5.209230 144138.6152 31072803545
## NE.CON.TOTL.ZS GC.AST.TOTL.GD.ZS EG.GDP.PUSE.KO.PP NE.CON.GOVT.ZS
## X1960 0.00000 0.000000000 0.000000 0.000000
## X1961 0.00000 0.000000000 0.000000 0.000000
## X1962 0.00000 0.000000000 0.000000 0.000000
## X1963 0.00000 0.000000000 0.000000 0.000000
## X1964 0.00000 0.000000000 0.000000 0.000000
## X1965 0.00000 0.000000000 0.000000 0.000000
## X1966 0.00000 0.000000000 0.000000 0.000000
## X1967 0.00000 0.000000000 0.000000 0.000000
## X1968 0.00000 0.000000000 0.000000 0.000000
## X1969 0.00000 0.000000000 0.000000 0.000000
## X1970 0.00000 0.000000000 0.000000 0.000000
## X1971 0.00000 0.000000000 0.000000 0.000000
## X1972 0.00000 0.000000000 0.000000 0.000000
## X1973 0.00000 0.000000000 0.000000 0.000000
## X1974 0.00000 0.000000000 0.000000 0.000000
## X1975 89.97043 0.000000000 0.000000 7.585540
## X1976 88.27182 0.000000000 0.000000 7.439347
## X1977 86.50463 0.000000000 0.000000 7.291667
## X1978 86.62072 0.000000000 0.000000 7.454896
## X1979 88.36372 0.000000000 0.000000 8.503263
## X1980 88.90411 0.000000000 0.000000 6.702068
## X1981 89.10902 0.000000000 0.000000 7.038488
## X1982 90.06712 0.000000000 0.000000 8.512973
## X1983 91.45142 0.000000000 0.000000 10.118483
## X1984 90.13455 0.000000000 0.000000 9.251079
## X1985 85.91422 0.000000000 0.000000 9.382647
## X1986 88.37628 0.000000000 0.000000 9.089441
## X1987 87.90456 0.000000000 0.000000 9.077101
## X1988 88.64255 0.000000000 0.000000 8.965490
## X1989 89.70881 0.000000000 0.000000 10.022516
## X1990 93.00831 -0.194844125 2.797501 8.663070
## X1991 91.44008 0.000000000 2.979767 8.953886
## X1992 89.07130 0.000000000 3.097361 7.797562
## X1993 87.75276 0.000000000 3.208141 8.481233
## X1994 90.04065 0.000000000 3.424384 8.022703
## X1995 84.34470 0.000000000 3.507044 9.246949
## X1996 85.61753 0.000000000 3.673220 9.247408
## X1997 86.03915 -1.122942609 3.802269 8.907609
## X1998 86.22613 -1.511077133 3.860751 9.312104
## X1999 86.38652 -1.068600966 3.874717 8.925669
## X2000 84.82772 -0.658255334 3.986275 8.949954
## X2001 88.33537 -1.628697157 4.135608 8.104982
## X2002 90.51033 -1.984576977 4.158990 8.398430
## X2003 91.43882 -0.924037698 4.287108 8.665037
## X2004 88.25076 -0.817309394 4.542859 8.644078
## X2005 88.44434 -0.184947032 4.689489 8.899208
## X2006 91.01692 -0.725824206 4.997187 8.682983
## X2007 90.18279 -0.433069947 5.206365 9.198477
## X2008 90.16890 0.035517337 5.439841 9.889316
## X2009 90.56633 0.071154500 5.558440 10.779117
## X2010 88.54860 1.017425095 5.727603 9.992589
## X2011 92.87417 0.147182295 5.841927 8.197277
## X2012 90.87937 -1.059514594 6.693409 7.896386
## X2013 91.82103 -0.300186813 6.475425 7.534338
## X2014 90.63528 1.388900866 6.783791 8.001141
## X2015 92.37473 2.028425282 0.000000 8.811997
## X2016 96.35714 4.289986965 0.000000 7.926018
## X2017 87.01524 0.767200801 0.000000 8.518538
## X2018 85.20839 -0.002792772 0.000000 8.061536
## X2019 84.69659 -0.864102849 0.000000 8.117095
## X2020 94.28064 3.152060198 0.000000 9.067732
## X2021 92.29194 0.000000000 0.000000 8.399219
## GC.XPN.TOTL.GD.ZS FD.AST.PRVT.GD.ZS SL.UEM.NEET.ZS SL.UEM.1524.FE.ZS
## X1960 0.00000 1.040537 0.00 0.000
## X1961 0.00000 1.213916 0.00 0.000
## X1962 0.00000 1.227709 0.00 0.000
## X1963 0.00000 1.167678 0.00 0.000
## X1964 0.00000 1.421461 0.00 0.000
## X1965 0.00000 1.833274 0.00 0.000
## X1966 0.00000 1.619627 0.00 0.000
## X1967 0.00000 1.826968 0.00 0.000
## X1968 0.00000 2.141363 0.00 0.000
## X1969 0.00000 2.275517 0.00 0.000
## X1970 0.00000 2.739507 0.00 0.000
## X1971 0.00000 3.715596 0.00 0.000
## X1972 0.00000 3.437168 0.00 0.000
## X1973 0.00000 4.603270 0.00 0.000
## X1974 0.00000 4.719707 0.00 0.000
## X1975 0.00000 4.285801 0.00 0.000
## X1976 0.00000 3.529378 0.00 0.000
## X1977 0.00000 4.684606 0.00 0.000
## X1978 0.00000 5.604601 0.00 0.000
## X1979 0.00000 6.269187 0.00 0.000
## X1980 0.00000 8.396643 0.00 0.000
## X1981 0.00000 8.995496 0.00 0.000
## X1982 0.00000 8.454886 0.00 0.000
## X1983 0.00000 7.907879 0.00 0.000
## X1984 0.00000 8.199543 0.00 0.000
## X1985 0.00000 9.306873 0.00 0.000
## X1986 0.00000 10.250162 0.00 0.000
## X1987 0.00000 10.148284 0.00 0.000
## X1988 0.00000 11.569058 0.00 0.000
## X1989 0.00000 12.818784 0.00 0.000
## X1990 0.00000 12.470991 0.00 0.000
## X1991 0.00000 12.954580 0.00 2.587
## X1992 0.00000 13.090252 0.00 2.491
## X1993 0.00000 14.263618 0.00 2.425
## X1994 0.00000 18.297653 0.00 2.421
## X1995 0.00000 22.581909 0.00 2.296
## X1996 0.00000 22.838381 0.00 2.264
## X1997 0.00000 23.364514 0.00 2.206
## X1998 0.00000 28.212302 0.00 2.129
## X1999 0.00000 28.449023 0.00 2.092
## X2000 0.00000 30.281063 0.00 2.054
## X2001 0.00000 29.083807 0.00 1.979
## X2002 0.00000 22.509183 0.00 1.871
## X2003 0.00000 25.812668 0.00 1.851
## X2004 14.59634 26.553979 0.00 1.798
## X2005 0.00000 28.214975 0.00 1.724
## X2006 0.00000 32.614163 0.00 1.660
## X2007 0.00000 36.771219 0.00 1.597
## X2008 0.00000 51.197868 23.13 1.563
## X2009 0.00000 58.774930 0.00 1.967
## X2010 15.63520 54.212607 0.00 2.410
## X2011 13.93791 46.025579 0.00 2.839
## X2012 13.83934 48.392989 0.00 3.329
## X2013 12.69044 50.185315 0.00 3.788
## X2014 13.58299 54.220192 0.00 4.358
## X2015 13.98980 56.684392 0.00 4.808
## X2016 14.22711 69.657673 0.00 4.748
## X2017 16.85381 68.416745 34.76 5.109
## X2018 20.16579 76.168955 0.00 5.135
## X2019 21.70187 78.845345 0.00 5.184
## X2020 20.16478 88.340281 0.00 7.114
## X2021 0.00000 0.000000 0.00 8.550
## SL.SRV.EMPL.ZS SL.FAM.WORK.ZS SL.EMP.TOTL.SP.FE.ZS SL.AGR.EMPL.MA.ZS
## X1960 0.00 0.00 0.000 0.00
## X1961 0.00 0.00 0.000 0.00
## X1962 0.00 0.00 0.000 0.00
## X1963 0.00 0.00 0.000 0.00
## X1964 0.00 0.00 0.000 0.00
## X1965 0.00 0.00 0.000 0.00
## X1966 0.00 0.00 0.000 0.00
## X1967 0.00 0.00 0.000 0.00
## X1968 0.00 0.00 0.000 0.00
## X1969 0.00 0.00 0.000 0.00
## X1970 0.00 0.00 0.000 0.00
## X1971 0.00 0.00 0.000 0.00
## X1972 0.00 0.00 0.000 0.00
## X1973 0.00 0.00 0.000 0.00
## X1974 0.00 0.00 0.000 0.00
## X1975 0.00 0.00 0.000 0.00
## X1976 0.00 0.00 0.000 0.00
## X1977 0.00 0.00 0.000 0.00
## X1978 0.00 0.00 0.000 0.00
## X1979 0.00 0.00 0.000 0.00
## X1980 0.00 0.00 0.000 0.00
## X1981 0.00 0.00 0.000 0.00
## X1982 0.00 0.00 0.000 0.00
## X1983 0.00 0.00 0.000 0.00
## X1984 0.00 0.00 0.000 0.00
## X1985 0.00 0.00 0.000 0.00
## X1986 0.00 0.00 0.000 0.00
## X1987 0.00 0.00 0.000 0.00
## X1988 0.00 0.00 0.000 0.00
## X1989 0.00 0.00 0.000 0.00
## X1990 0.00 0.00 0.000 0.00
## X1991 14.91 52.73 79.918 74.79
## X1992 14.69 52.60 80.050 74.68
## X1993 14.51 52.41 80.163 74.40
## X1994 14.40 52.14 80.197 73.83
## X1995 14.29 51.92 80.428 73.14
## X1996 14.21 51.62 80.367 72.14
## X1997 14.14 51.28 80.366 70.86
## X1998 14.10 50.95 80.420 69.33
## X1999 14.05 50.51 80.436 67.43
## X2000 14.23 49.99 80.219 66.37
## X2001 14.43 49.45 80.044 65.56
## X2002 14.60 49.09 79.917 65.20
## X2003 14.85 48.55 79.647 64.52
## X2004 15.12 47.93 79.425 63.90
## X2005 15.39 47.37 79.229 63.38
## X2006 15.67 46.79 79.010 62.85
## X2007 15.97 46.21 78.785 62.36
## X2008 16.31 45.50 78.534 61.57
## X2009 16.65 44.78 78.458 61.01
## X2010 16.97 44.02 78.411 60.40
## X2011 17.31 43.33 78.475 59.71
## X2012 17.73 42.56 78.612 58.55
## X2013 18.12 41.82 78.865 57.40
## X2014 18.55 40.95 79.005 56.13
## X2015 18.94 40.25 79.225 55.21
## X2016 19.29 39.70 79.734 54.93
## X2017 19.71 38.82 79.712 53.79
## X2018 20.11 38.03 79.942 52.89
## X2019 20.52 37.20 80.064 52.11
## X2020 0.00 0.00 72.266 0.00
## X2021 0.00 0.00 74.809 0.00
## per_lm_alllm.cov_q5_tot SL.UEM.INTM.MA.ZS SL.TLF.PART.ZS
## X1960 0 0.00 0.00
## X1961 0 0.00 0.00
## X1962 0 0.00 0.00
## X1963 0 0.00 0.00
## X1964 0 0.00 0.00
## X1965 0 0.00 0.00
## X1966 0 0.00 0.00
## X1967 0 0.00 0.00
## X1968 0 0.00 0.00
## X1969 0 0.00 0.00
## X1970 0 0.00 0.00
## X1971 0 0.00 0.00
## X1972 0 0.00 0.00
## X1973 0 0.00 0.00
## X1974 0 0.00 0.00
## X1975 0 0.00 0.00
## X1976 0 0.00 0.00
## X1977 0 0.00 0.00
## X1978 0 0.00 0.00
## X1979 0 0.00 0.00
## X1980 0 0.00 0.00
## X1981 0 0.00 0.00
## X1982 0 0.00 0.00
## X1983 0 0.00 0.00
## X1984 0 0.00 0.00
## X1985 0 0.00 0.00
## X1986 0 0.00 0.00
## X1987 0 0.00 0.00
## X1988 0 0.00 0.00
## X1989 0 0.00 0.00
## X1990 0 0.00 0.00
## X1991 0 0.00 0.00
## X1992 0 0.00 0.00
## X1993 0 0.00 0.00
## X1994 0 0.00 0.00
## X1995 0 0.00 0.00
## X1996 0 0.00 0.00
## X1997 0 0.00 0.00
## X1998 0 0.00 0.00
## X1999 0 0.00 0.00
## X2000 0 0.00 0.00
## X2001 0 0.00 0.00
## X2002 0 0.00 0.00
## X2003 0 0.00 0.00
## X2004 0 0.00 0.00
## X2005 0 0.00 0.00
## X2006 0 0.00 0.00
## X2007 0 0.00 0.00
## X2008 0 1.93 30.58
## X2009 0 0.00 0.00
## X2010 0 0.00 0.00
## X2011 0 0.00 0.00
## X2012 0 0.00 0.00
## X2013 0 0.00 0.00
## X2014 0 0.00 0.00
## X2015 0 0.00 0.00
## X2016 0 0.00 0.00
## X2017 0 13.25 29.89
## X2018 0 0.00 0.00
## X2019 0 0.00 0.00
## X2020 0 0.00 0.00
## X2021 0 0.00 0.00
## SL.TLF.0714.WK.MA.ZS SL.SRV.0714.MA.ZS SL.FAM.0714.MA.ZS
## X1960 0.000000 0.000000 0.00
## X1961 0.000000 0.000000 0.00
## X1962 0.000000 0.000000 0.00
## X1963 0.000000 0.000000 0.00
## X1964 0.000000 0.000000 0.00
## X1965 0.000000 0.000000 0.00
## X1966 0.000000 0.000000 0.00
## X1967 0.000000 0.000000 0.00
## X1968 0.000000 0.000000 0.00
## X1969 0.000000 0.000000 0.00
## X1970 0.000000 0.000000 0.00
## X1971 0.000000 0.000000 0.00
## X1972 0.000000 0.000000 0.00
## X1973 0.000000 0.000000 0.00
## X1974 0.000000 0.000000 0.00
## X1975 0.000000 0.000000 0.00
## X1976 0.000000 0.000000 0.00
## X1977 0.000000 0.000000 0.00
## X1978 0.000000 0.000000 0.00
## X1979 0.000000 0.000000 0.00
## X1980 0.000000 0.000000 0.00
## X1981 0.000000 0.000000 0.00
## X1982 0.000000 0.000000 0.00
## X1983 0.000000 0.000000 0.00
## X1984 0.000000 0.000000 0.00
## X1985 0.000000 0.000000 0.00
## X1986 0.000000 0.000000 0.00
## X1987 0.000000 0.000000 0.00
## X1988 0.000000 0.000000 0.00
## X1989 0.000000 0.000000 0.00
## X1990 0.000000 0.000000 0.00
## X1991 0.000000 0.000000 0.00
## X1992 0.000000 0.000000 0.00
## X1993 0.000000 0.000000 0.00
## X1994 0.000000 0.000000 0.00
## X1995 0.000000 0.000000 0.00
## X1996 0.000000 0.000000 0.00
## X1997 0.000000 0.000000 0.00
## X1998 0.000000 0.000000 0.00
## X1999 23.222749 9.723161 91.80
## X2000 0.000000 0.000000 0.00
## X2001 0.000000 0.000000 0.00
## X2002 0.000000 0.000000 0.00
## X2003 0.000000 0.000000 0.00
## X2004 0.000000 0.000000 0.00
## X2005 0.000000 0.000000 0.00
## X2006 0.000000 0.000000 0.00
## X2007 0.000000 0.000000 0.00
## X2008 10.237134 4.170000 91.97
## X2009 0.000000 0.000000 0.00
## X2010 0.000000 0.000000 0.00
## X2011 0.000000 0.000000 0.00
## X2012 0.000000 0.000000 0.00
## X2013 0.000000 0.000000 0.00
## X2014 7.136226 0.000000 0.00
## X2015 0.000000 0.000000 0.00
## X2016 0.000000 0.000000 0.00
## X2017 0.000000 0.000000 0.00
## X2018 0.000000 0.000000 0.00
## X2019 0.000000 0.000000 0.00
## X2020 0.000000 0.000000 0.00
## X2021 0.000000 0.000000 0.00
## SL.EMP.SELF.MA.ZS SL.AGR.0714.FE.ZS per_lm_alllm.cov_q1_tot
## X1960 0.00 0.00 0
## X1961 0.00 0.00 0
## X1962 0.00 0.00 0
## X1963 0.00 0.00 0
## X1964 0.00 0.00 0
## X1965 0.00 0.00 0
## X1966 0.00 0.00 0
## X1967 0.00 0.00 0
## X1968 0.00 0.00 0
## X1969 0.00 0.00 0
## X1970 0.00 0.00 0
## X1971 0.00 0.00 0
## X1972 0.00 0.00 0
## X1973 0.00 0.00 0
## X1974 0.00 0.00 0
## X1975 0.00 0.00 0
## X1976 0.00 0.00 0
## X1977 0.00 0.00 0
## X1978 0.00 0.00 0
## X1979 0.00 0.00 0
## X1980 0.00 0.00 0
## X1981 0.00 0.00 0
## X1982 0.00 0.00 0
## X1983 0.00 0.00 0
## X1984 0.00 0.00 0
## X1985 0.00 0.00 0
## X1986 0.00 0.00 0
## X1987 0.00 0.00 0
## X1988 0.00 0.00 0
## X1989 0.00 0.00 0
## X1990 0.00 0.00 0
## X1991 77.61 0.00 0
## X1992 77.61 0.00 0
## X1993 77.62 0.00 0
## X1994 77.40 0.00 0
## X1995 77.34 0.00 0
## X1996 77.11 0.00 0
## X1997 76.81 0.00 0
## X1998 76.62 0.00 0
## X1999 76.28 85.90 0
## X2000 75.73 0.00 0
## X2001 75.25 0.00 0
## X2002 75.35 0.00 0
## X2003 75.08 0.00 0
## X2004 74.68 0.00 0
## X2005 74.38 0.00 0
## X2006 74.10 0.00 0
## X2007 73.83 0.00 0
## X2008 73.22 88.93 0
## X2009 72.61 0.00 0
## X2010 71.85 0.00 0
## X2011 71.08 0.00 0
## X2012 70.03 0.00 0
## X2013 68.97 0.00 0
## X2014 67.65 0.00 0
## X2015 66.78 0.00 0
## X2016 66.63 0.00 0
## X2017 65.62 0.00 0
## X2018 64.81 0.00 0
## X2019 63.99 0.00 0
## X2020 0.00 0.00 0
## X2021 0.00 0.00 0
## SL.UEM.TOTL.FE.ZS SL.UEM.1524.MA.ZS SL.TLF.0714.MA.ZS SL.IND.EMPL.FE.ZS
## X1960 0.000 0.000 0.00000 0.00
## X1961 0.000 0.000 0.00000 0.00
## X1962 0.000 0.000 0.00000 0.00
## X1963 0.000 0.000 0.00000 0.00
## X1964 0.000 0.000 0.00000 0.00
## X1965 0.000 0.000 0.00000 0.00
## X1966 0.000 0.000 0.00000 0.00
## X1967 0.000 0.000 0.00000 0.00
## X1968 0.000 0.000 0.00000 0.00
## X1969 0.000 0.000 0.00000 0.00
## X1970 0.000 0.000 0.00000 0.00
## X1971 0.000 0.000 0.00000 0.00
## X1972 0.000 0.000 0.00000 0.00
## X1973 0.000 0.000 0.00000 0.00
## X1974 0.000 0.000 0.00000 0.00
## X1975 0.000 0.000 0.00000 0.00
## X1976 0.000 0.000 0.00000 0.00
## X1977 0.000 0.000 0.00000 0.00
## X1978 0.000 0.000 0.00000 0.00
## X1979 0.000 0.000 0.00000 0.00
## X1980 0.000 0.000 0.00000 0.00
## X1981 0.000 0.000 0.00000 0.00
## X1982 0.000 0.000 0.00000 0.00
## X1983 0.000 0.000 0.00000 0.00
## X1984 0.000 0.000 0.00000 0.00
## X1985 0.000 0.000 0.00000 0.00
## X1986 0.000 0.000 0.00000 0.00
## X1987 0.000 0.000 0.00000 0.00
## X1988 0.000 0.000 0.00000 0.00
## X1989 0.000 0.000 0.00000 0.00
## X1990 0.000 0.000 0.00000 0.00
## X1991 1.721 3.760 0.00000 1.44
## X1992 1.663 3.680 0.00000 1.65
## X1993 1.655 3.663 0.00000 1.90
## X1994 1.763 3.753 0.00000 2.25
## X1995 1.643 3.647 0.00000 2.62
## X1996 1.686 3.710 0.00000 3.09
## X1997 1.677 3.720 0.00000 3.65
## X1998 1.628 3.696 0.00000 4.27
## X1999 1.659 3.720 42.20000 5.04
## X2000 1.637 3.638 0.00000 5.47
## X2001 1.538 3.551 0.00000 5.75
## X2002 1.376 3.400 0.00000 5.95
## X2003 1.384 3.377 0.00000 6.14
## X2004 1.330 3.290 0.00000 6.30
## X2005 1.240 3.176 0.00000 6.41
## X2006 1.170 3.053 0.00000 6.46
## X2007 1.102 2.933 0.00000 6.52
## X2008 1.071 2.843 36.20000 6.69
## X2009 1.307 3.388 0.00000 6.85
## X2010 1.573 3.982 0.00000 7.07
## X2011 1.802 4.551 0.00000 7.27
## X2012 2.094 5.182 0.00000 7.48
## X2013 2.330 5.736 0.00000 7.68
## X2014 2.691 6.420 41.50491 7.94
## X2015 2.879 6.871 0.00000 8.12
## X2016 2.722 6.547 0.00000 8.12
## X2017 3.077 7.009 0.00000 8.33
## X2018 3.002 6.902 0.00000 8.50
## X2019 2.945 6.836 0.00000 8.62
## X2020 4.533 9.159 0.00000 0.00
## X2021 4.934 10.569 0.00000 0.00
## SL.EMP.TOTL.SP.MA.ZS SL.EMP.1524.SP.FE.NE.ZS SL.UEM.TOTL.FE.NE.ZS
## X1960 0.000 0.00 0.00
## X1961 0.000 0.00 0.00
## X1962 0.000 0.00 0.00
## X1963 0.000 0.00 0.00
## X1964 0.000 0.00 0.00
## X1965 0.000 0.00 0.00
## X1966 0.000 0.00 0.00
## X1967 0.000 0.00 0.00
## X1968 0.000 0.00 0.00
## X1969 0.000 0.00 0.00
## X1970 0.000 0.00 0.00
## X1971 0.000 0.00 0.00
## X1972 0.000 0.00 0.00
## X1973 0.000 0.00 0.00
## X1974 0.000 0.00 0.00
## X1975 0.000 0.00 0.00
## X1976 0.000 0.00 0.00
## X1977 0.000 0.00 0.00
## X1978 0.000 0.00 0.00
## X1979 0.000 0.00 0.00
## X1980 0.000 0.00 0.00
## X1981 0.000 0.00 0.00
## X1982 0.000 0.00 0.00
## X1983 0.000 0.00 0.00
## X1984 0.000 0.00 0.00
## X1985 0.000 0.00 0.00
## X1986 0.000 0.00 0.00
## X1987 0.000 0.00 0.00
## X1988 0.000 0.00 0.00
## X1989 0.000 0.00 0.00
## X1990 0.000 0.00 0.00
## X1991 88.945 0.00 0.00
## X1992 88.865 0.00 0.00
## X1993 88.709 0.00 0.00
## X1994 88.380 0.00 0.00
## X1995 88.436 0.00 0.00
## X1996 88.313 0.00 0.00
## X1997 88.288 0.00 0.00
## X1998 88.337 0.00 0.00
## X1999 88.227 0.00 1.66
## X2000 87.960 0.00 0.00
## X2001 87.804 0.00 0.00
## X2002 87.751 0.00 0.00
## X2003 87.393 0.00 0.00
## X2004 87.137 0.00 0.00
## X2005 86.940 0.00 0.00
## X2006 86.696 0.00 0.00
## X2007 86.441 0.00 0.00
## X2008 86.112 73.81 1.08
## X2009 85.682 0.00 0.00
## X2010 85.175 0.00 0.00
## X2011 84.775 0.00 0.00
## X2012 84.232 0.00 0.00
## X2013 83.737 0.00 0.00
## X2014 83.020 0.00 0.00
## X2015 82.572 0.00 2.90
## X2016 82.519 0.00 0.00
## X2017 81.760 16.57 12.02
## X2018 81.712 0.00 0.00
## X2019 81.699 0.00 0.00
## X2020 75.538 0.00 0.00
## X2021 76.574 0.00 0.00
## SL.UEM.1524.MA.NE.ZS SL.TLF.0714.FE.ZS SL.EMP.TOTL.SP.MA.NE.ZS
## X1960 0.00 0.00000 0.00
## X1961 0.00 0.00000 0.00
## X1962 0.00 0.00000 0.00
## X1963 0.00 0.00000 0.00
## X1964 0.00 0.00000 0.00
## X1965 0.00 0.00000 0.00
## X1966 0.00 0.00000 0.00
## X1967 0.00 0.00000 0.00
## X1968 0.00 0.00000 0.00
## X1969 0.00 0.00000 0.00
## X1970 0.00 0.00000 0.00
## X1971 0.00 0.00000 0.00
## X1972 0.00 0.00000 0.00
## X1973 0.00 0.00000 0.00
## X1974 0.00 0.00000 0.00
## X1975 0.00 0.00000 0.00
## X1976 0.00 0.00000 0.00
## X1977 0.00 0.00000 0.00
## X1978 0.00 0.00000 0.00
## X1979 0.00 0.00000 0.00
## X1980 0.00 0.00000 0.00
## X1981 0.00 0.00000 0.00
## X1982 0.00 0.00000 0.00
## X1983 0.00 0.00000 0.00
## X1984 0.00 0.00000 0.00
## X1985 0.00 0.00000 0.00
## X1986 0.00 0.00000 0.00
## X1987 0.00 0.00000 0.00
## X1988 0.00 0.00000 0.00
## X1989 0.00 0.00000 0.00
## X1990 0.00 0.00000 0.00
## X1991 0.00 0.00000 0.00
## X1992 0.00 0.00000 0.00
## X1993 0.00 0.00000 0.00
## X1994 0.00 0.00000 0.00
## X1995 0.00 0.00000 0.00
## X1996 0.00 0.00000 71.00
## X1997 0.00 0.00000 0.00
## X1998 0.00 0.00000 0.00
## X1999 3.96 52.40000 88.33
## X2000 0.00 0.00000 0.00
## X2001 0.00 0.00000 0.00
## X2002 0.00 0.00000 0.00
## X2003 0.00 0.00000 90.00
## X2004 0.00 0.00000 0.00
## X2005 0.00 0.00000 0.00
## X2006 0.00 0.00000 0.00
## X2007 0.00 0.00000 0.00
## X2008 2.91 45.40000 86.34
## X2009 0.00 0.00000 0.00
## X2010 0.00 0.00000 0.00
## X2011 0.00 0.00000 0.00
## X2012 0.00 0.00000 0.00
## X2013 0.00 0.00000 82.90
## X2014 0.00 44.09136 84.20
## X2015 0.00 0.00000 0.00
## X2016 0.00 0.00000 0.00
## X2017 19.23 0.00000 49.57
## X2018 0.00 0.00000 0.00
## X2019 0.00 0.00000 0.00
## X2020 0.00 0.00000 0.00
## X2021 0.00 0.00000 0.00
## SL.AGR.EMPL.ZS SL.UEM.INTM.ZS SL.SRV.0714.ZS SL.FAM.0714.ZS
## X1960 0.00 0.00 0.00 0.00
## X1961 0.00 0.00 0.00 0.00
## X1962 0.00 0.00 0.00 0.00
## X1963 0.00 0.00 0.00 0.00
## X1964 0.00 0.00 0.00 0.00
## X1965 0.00 0.00 0.00 0.00
## X1966 0.00 0.00 0.00 0.00
## X1967 0.00 0.00 0.00 0.00
## X1968 0.00 0.00 0.00 0.00
## X1969 0.00 0.00 0.00 0.00
## X1970 0.00 0.00 0.00 0.00
## X1971 0.00 0.00 0.00 0.00
## X1972 0.00 0.00 0.00 0.00
## X1973 0.00 0.00 0.00 0.00
## X1974 0.00 0.00 0.00 0.00
## X1975 0.00 0.00 0.00 0.00
## X1976 0.00 0.00 0.00 0.00
## X1977 0.00 0.00 0.00 0.00
## X1978 0.00 0.00 0.00 0.00
## X1979 0.00 0.00 0.00 0.00
## X1980 0.00 0.00 0.00 0.00
## X1981 0.00 0.00 0.00 0.00
## X1982 0.00 0.00 0.00 0.00
## X1983 0.00 0.00 0.00 0.00
## X1984 0.00 0.00 0.00 0.00
## X1985 0.00 0.00 0.00 0.00
## X1986 0.00 0.00 0.00 0.00
## X1987 0.00 0.00 0.00 0.00
## X1988 0.00 0.00 0.00 0.00
## X1989 0.00 0.00 0.00 0.00
## X1990 0.00 0.00 0.00 0.00
## X1991 82.33 0.00 0.00 0.00
## X1992 82.10 0.00 0.00 0.00
## X1993 81.75 0.00 0.00 0.00
## X1994 81.15 0.00 0.00 0.00
## X1995 80.52 0.00 0.00 0.00
## X1996 79.68 0.00 0.00 0.00
## X1997 78.66 0.00 0.00 0.00
## X1998 77.52 0.00 0.00 0.00
## X1999 76.11 0.00 11.06 92.41
## X2000 75.25 0.00 0.00 0.00
## X2001 74.59 0.00 0.00 0.00
## X2002 74.19 0.00 0.00 0.00
## X2003 73.61 0.00 0.00 0.00
## X2004 73.08 0.00 0.00 0.00
## X2005 72.64 0.00 0.00 0.00
## X2006 72.21 0.00 0.00 0.00
## X2007 71.78 0.00 0.00 0.00
## X2008 71.13 1.82 3.09 92.26
## X2009 70.61 0.00 0.00 0.00
## X2010 70.04 0.00 0.00 0.00
## X2011 69.54 0.00 0.00 0.00
## X2012 68.86 0.00 0.00 0.00
## X2013 68.24 0.00 0.00 0.00
## X2014 67.48 0.00 0.00 0.00
## X2015 66.93 0.00 0.00 0.00
## X2016 66.66 0.00 0.00 0.00
## X2017 65.81 14.46 0.00 0.00
## X2018 65.08 0.00 0.00 0.00
## X2019 64.38 0.00 0.00 0.00
## X2020 0.00 0.00 0.00 0.00
## X2021 0.00 0.00 0.00 0.00
## SL.EMP.SELF.ZS SL.AGR.0714.MA.ZS per_lm_alllm.cov_q2_tot
## X1960 0.00 0.00 0
## X1961 0.00 0.00 0
## X1962 0.00 0.00 0
## X1963 0.00 0.00 0
## X1964 0.00 0.00 0
## X1965 0.00 0.00 0
## X1966 0.00 0.00 0
## X1967 0.00 0.00 0
## X1968 0.00 0.00 0
## X1969 0.00 0.00 0
## X1970 0.00 0.00 0
## X1971 0.00 0.00 0
## X1972 0.00 0.00 0
## X1973 0.00 0.00 0
## X1974 0.00 0.00 0
## X1975 0.00 0.00 0
## X1976 0.00 0.00 0
## X1977 0.00 0.00 0
## X1978 0.00 0.00 0
## X1979 0.00 0.00 0
## X1980 0.00 0.00 0
## X1981 0.00 0.00 0
## X1982 0.00 0.00 0
## X1983 0.00 0.00 0
## X1984 0.00 0.00 0
## X1985 0.00 0.00 0
## X1986 0.00 0.00 0
## X1987 0.00 0.00 0
## X1988 0.00 0.00 0
## X1989 0.00 0.00 0
## X1990 0.00 0.00 0
## X1991 85.45 0.00 0
## X1992 85.40 0.00 0
## X1993 85.36 0.00 0
## X1994 85.19 0.00 0
## X1995 85.13 0.00 0
## X1996 85.00 0.00 0
## X1997 84.84 0.00 0
## X1998 84.74 0.00 0
## X1999 84.57 88.30 0
## X2000 84.26 0.00 0
## X2001 83.95 0.00 0
## X2002 83.97 0.00 0
## X2003 83.79 0.00 0
## X2004 83.52 0.00 0
## X2005 83.31 0.00 0
## X2006 83.10 0.00 0
## X2007 82.90 0.00 0
## X2008 82.50 89.03 0
## X2009 82.13 0.00 0
## X2010 81.70 0.00 0
## X2011 81.33 0.00 0
## X2012 80.84 0.00 0
## X2013 80.37 0.00 0
## X2014 79.73 0.00 0
## X2015 79.29 0.00 0
## X2016 79.15 0.00 0
## X2017 78.52 0.00 0
## X2018 77.96 0.00 0
## X2019 77.34 0.00 0
## X2020 0.00 0.00 0
## X2021 0.00 0.00 0
## SL.UEM.TOTL.MA.ZS SL.UEM.1524.ZS SL.TLF.0714.SW.FE.ZS SL.IND.EMPL.ZS
## X1960 0.000 0.000 0.00000 0.00
## X1961 0.000 0.000 0.00000 0.00
## X1962 0.000 0.000 0.00000 0.00
## X1963 0.000 0.000 0.00000 0.00
## X1964 0.000 0.000 0.00000 0.00
## X1965 0.000 0.000 0.00000 0.00
## X1966 0.000 0.000 0.00000 0.00
## X1967 0.000 0.000 0.00000 0.00
## X1968 0.000 0.000 0.00000 0.00
## X1969 0.000 0.000 0.00000 0.00
## X1970 0.000 0.000 0.00000 0.00
## X1971 0.000 0.000 0.00000 0.00
## X1972 0.000 0.000 0.00000 0.00
## X1973 0.000 0.000 0.00000 0.00
## X1974 0.000 0.000 0.00000 0.00
## X1975 0.000 0.000 0.00000 0.00
## X1976 0.000 0.000 0.00000 0.00
## X1977 0.000 0.000 0.00000 0.00
## X1978 0.000 0.000 0.00000 0.00
## X1979 0.000 0.000 0.00000 0.00
## X1980 0.000 0.000 0.00000 0.00
## X1981 0.000 0.000 0.00000 0.00
## X1982 0.000 0.000 0.00000 0.00
## X1983 0.000 0.000 0.00000 0.00
## X1984 0.000 0.000 0.00000 0.00
## X1985 0.000 0.000 0.00000 0.00
## X1986 0.000 0.000 0.00000 0.00
## X1987 0.000 0.000 0.00000 0.00
## X1988 0.000 0.000 0.00000 0.00
## X1989 0.000 0.000 0.00000 0.00
## X1990 0.000 0.000 0.00000 0.00
## X1991 1.808 3.203 0.00000 2.76
## X1992 1.747 3.120 0.00000 3.21
## X1993 1.771 3.083 0.00000 3.74
## X1994 1.999 3.130 0.00000 4.45
## X1995 1.825 3.014 0.00000 5.20
## X1996 1.944 3.024 0.00000 6.12
## X1997 1.972 2.992 0.00000 7.20
## X1998 1.923 2.932 0.00000 8.38
## X1999 2.029 2.918 53.80000 9.84
## X2000 2.063 2.852 0.00000 10.52
## X2001 1.945 2.763 0.00000 10.98
## X2002 1.704 2.626 0.00000 11.21
## X2003 1.796 2.599 0.00000 11.54
## X2004 1.768 2.525 0.00000 11.80
## X2005 1.666 2.428 0.00000 11.97
## X2006 1.606 2.337 0.00000 12.12
## X2007 1.550 2.249 0.00000 12.25
## X2008 1.577 2.189 83.75919 12.57
## X2009 1.787 2.660 0.00000 12.74
## X2010 2.063 3.171 0.00000 12.99
## X2011 2.264 3.654 0.00000 13.16
## X2012 2.585 4.194 0.00000 13.41
## X2013 2.801 4.683 0.00000 13.65
## X2014 3.247 5.296 89.79323 13.98
## X2015 3.375 5.745 0.00000 14.14
## X2016 3.051 5.565 0.00000 14.05
## X2017 3.625 5.975 0.00000 14.48
## X2018 3.436 5.947 0.00000 14.81
## X2019 3.288 5.951 0.00000 15.11
## X2020 4.956 8.088 0.00000 0.00
## X2021 5.197 9.501 0.00000 0.00
## SL.EMP.TOTL.SP.ZS SL.EMP.1524.SP.MA.NE.ZS SL.UEM.INTM.FE.ZS
## X1960 0.000 0.00 0.00
## X1961 0.000 0.00 0.00
## X1962 0.000 0.00 0.00
## X1963 0.000 0.00 0.00
## X1964 0.000 0.00 0.00
## X1965 0.000 0.00 0.00
## X1966 0.000 0.00 0.00
## X1967 0.000 0.00 0.00
## X1968 0.000 0.00 0.00
## X1969 0.000 0.00 0.00
## X1970 0.000 0.00 0.00
## X1971 0.000 0.00 0.00
## X1972 0.000 0.00 0.00
## X1973 0.000 0.00 0.00
## X1974 0.000 0.00 0.00
## X1975 0.000 0.00 0.00
## X1976 0.000 0.00 0.00
## X1977 0.000 0.00 0.00
## X1978 0.000 0.00 0.00
## X1979 0.000 0.00 0.00
## X1980 0.000 0.00 0.00
## X1981 0.000 0.00 0.00
## X1982 0.000 0.00 0.00
## X1983 0.000 0.00 0.00
## X1984 0.000 0.00 0.00
## X1985 0.000 0.00 0.00
## X1986 0.000 0.00 0.00
## X1987 0.000 0.00 0.00
## X1988 0.000 0.00 0.00
## X1989 0.000 0.00 0.00
## X1990 0.000 0.00 0.00
## X1991 84.336 0.00 0.00
## X1992 84.396 0.00 0.00
## X1993 84.407 0.00 0.00
## X1994 84.285 0.00 0.00
## X1995 84.442 0.00 0.00
## X1996 84.340 0.00 0.00
## X1997 84.307 0.00 0.00
## X1998 84.332 0.00 0.00
## X1999 84.262 0.00 0.00
## X2000 83.999 0.00 0.00
## X2001 83.829 0.00 0.00
## X2002 83.734 0.00 0.00
## X2003 83.420 0.00 0.00
## X2004 83.179 0.00 0.00
## X2005 82.980 0.00 0.00
## X2006 82.751 0.00 0.00
## X2007 82.514 0.00 0.00
## X2008 82.222 74.84 1.66
## X2009 81.960 0.00 0.00
## X2010 81.666 0.00 0.00
## X2011 81.455 0.00 0.00
## X2012 81.213 0.00 0.00
## X2013 81.067 0.00 0.00
## X2014 80.781 0.00 0.00
## X2015 80.679 0.00 0.00
## X2016 80.938 0.00 0.00
## X2017 80.597 31.91 16.51
## X2018 80.709 0.00 0.00
## X2019 80.777 0.00 0.00
## X2020 73.702 0.00 0.00
## X2021 75.592 0.00 0.00
## SL.TLF.PART.MA.ZS SL.SRV.0714.FE.ZS SL.FAM.0714.FE.ZS SL.EMP.SELF.FE.ZS
## X1960 0.00 0.00000 0.00 0.00
## X1961 0.00 0.00000 0.00 0.00
## X1962 0.00 0.00000 0.00 0.00
## X1963 0.00 0.00000 0.00 0.00
## X1964 0.00 0.00000 0.00 0.00
## X1965 0.00 0.00000 0.00 0.00
## X1966 0.00 0.00000 0.00 0.00
## X1967 0.00 0.00000 0.00 0.00
## X1968 0.00 0.00000 0.00 0.00
## X1969 0.00 0.00000 0.00 0.00
## X1970 0.00 0.00000 0.00 0.00
## X1971 0.00 0.00000 0.00 0.00
## X1972 0.00 0.00000 0.00 0.00
## X1973 0.00 0.00000 0.00 0.00
## X1974 0.00 0.00000 0.00 0.00
## X1975 0.00 0.00000 0.00 0.00
## X1976 0.00 0.00000 0.00 0.00
## X1977 0.00 0.00000 0.00 0.00
## X1978 0.00 0.00000 0.00 0.00
## X1979 0.00 0.00000 0.00 0.00
## X1980 0.00 0.00000 0.00 0.00
## X1981 0.00 0.00000 0.00 0.00
## X1982 0.00 0.00000 0.00 0.00
## X1983 0.00 0.00000 0.00 0.00
## X1984 0.00 0.00000 0.00 0.00
## X1985 0.00 0.00000 0.00 0.00
## X1986 0.00 0.00000 0.00 0.00
## X1987 0.00 0.00000 0.00 0.00
## X1988 0.00 0.00000 0.00 0.00
## X1989 0.00 0.00000 0.00 0.00
## X1990 0.00 0.00000 0.00 0.00
## X1991 0.00 0.00000 0.00 93.82
## X1992 0.00 0.00000 0.00 93.83
## X1993 0.00 0.00000 0.00 93.83
## X1994 0.00 0.00000 0.00 93.81
## X1995 0.00 0.00000 0.00 93.78
## X1996 0.00 0.00000 0.00 93.72
## X1997 0.00 0.00000 0.00 93.63
## X1998 0.00 0.00000 0.00 93.53
## X1999 0.00 12.27995 92.90 93.41
## X2000 0.00 0.00000 0.00 93.27
## X2001 0.00 0.00000 0.00 93.12
## X2002 0.00 0.00000 0.00 93.04
## X2003 0.00 0.00000 0.00 92.94
## X2004 0.00 0.00000 0.00 92.81
## X2005 0.00 0.00000 0.00 92.68
## X2006 0.00 0.00000 0.00 92.55
## X2007 0.00 0.00000 0.00 92.41
## X2008 26.86 2.19000 92.51 92.23
## X2009 0.00 0.00000 0.00 91.98
## X2010 0.00 0.00000 0.00 91.69
## X2011 0.00 0.00000 0.00 91.33
## X2012 0.00 0.00000 0.00 90.87
## X2013 0.00 0.00000 0.00 90.38
## X2014 0.00 0.00000 0.00 89.81
## X2015 0.00 0.00000 0.00 89.30
## X2016 0.00 0.00000 0.00 89.00
## X2017 23.46 0.00000 0.00 88.62
## X2018 0.00 0.00000 0.00 88.25
## X2019 0.00 0.00000 0.00 87.89
## X2020 0.00 0.00000 0.00 0.00
## X2021 0.00 0.00000 0.00 0.00
## per_lm_alllm.cov_pop_tot SL.UEM.NEET.MA.ZS SL.UEM.1524.FE.NE.ZS
## X1960 0 0.00 0.00
## X1961 0 0.00 0.00
## X1962 0 0.00 0.00
## X1963 0 0.00 0.00
## X1964 0 0.00 0.00
## X1965 0 0.00 0.00
## X1966 0 0.00 0.00
## X1967 0 0.00 0.00
## X1968 0 0.00 0.00
## X1969 0 0.00 0.00
## X1970 0 0.00 0.00
## X1971 0 0.00 0.00
## X1972 0 0.00 0.00
## X1973 0 0.00 0.00
## X1974 0 0.00 0.00
## X1975 0 0.00 0.00
## X1976 0 0.00 0.00
## X1977 0 0.00 0.00
## X1978 0 0.00 0.00
## X1979 0 0.00 0.00
## X1980 0 0.00 0.00
## X1981 0 0.00 0.00
## X1982 0 0.00 0.00
## X1983 0 0.00 0.00
## X1984 0 0.00 0.00
## X1985 0 0.00 0.00
## X1986 0 0.00 0.00
## X1987 0 0.00 0.00
## X1988 0 0.00 0.00
## X1989 0 0.00 0.00
## X1990 0 0.00 0.00
## X1991 0 0.00 0.00
## X1992 0 0.00 0.00
## X1993 0 0.00 0.00
## X1994 0 0.00 0.00
## X1995 0 0.00 0.00
## X1996 0 0.00 0.00
## X1997 0 0.00 0.00
## X1998 0 0.00 0.00
## X1999 0 0.00 2.16
## X2000 0 0.00 0.00
## X2001 0 0.00 0.00
## X2002 0 0.00 0.00
## X2003 0 0.00 0.00
## X2004 0 0.00 0.00
## X2005 0 0.00 0.00
## X2006 0 0.00 0.00
## X2007 0 0.00 0.00
## X2008 0 21.90 1.59
## X2009 0 0.00 0.00
## X2010 0 0.00 0.00
## X2011 0 0.00 0.00
## X2012 0 0.00 0.00
## X2013 0 0.00 0.00
## X2014 0 0.00 0.00
## X2015 0 86.79 0.00
## X2016 0 0.00 0.00
## X2017 0 21.16 22.48
## X2018 0 0.00 0.00
## X2019 0 0.00 0.00
## X2020 0 0.00 0.00
## X2021 0 0.00 0.00
## SL.TLF.0714.ZS SL.SRV.EMPL.MA.ZS SL.FAM.WORK.MA.ZS
## X1960 0.00000 0.00 0.00
## X1961 0.00000 0.00 0.00
## X1962 0.00000 0.00 0.00
## X1963 0.00000 0.00 0.00
## X1964 0.00000 0.00 0.00
## X1965 0.00000 0.00 0.00
## X1966 0.00000 0.00 0.00
## X1967 0.00000 0.00 0.00
## X1968 0.00000 0.00 0.00
## X1969 0.00000 0.00 0.00
## X1970 0.00000 0.00 0.00
## X1971 0.00000 0.00 0.00
## X1972 0.00000 0.00 0.00
## X1973 0.00000 0.00 0.00
## X1974 0.00000 0.00 0.00
## X1975 0.00000 0.00 0.00
## X1976 0.00000 0.00 0.00
## X1977 0.00000 0.00 0.00
## X1978 0.00000 0.00 0.00
## X1979 0.00000 0.00 0.00
## X1980 0.00000 0.00 0.00
## X1981 0.00000 0.00 0.00
## X1982 0.00000 0.00 0.00
## X1983 0.00000 0.00 0.00
## X1984 0.00000 0.00 0.00
## X1985 0.00000 0.00 0.00
## X1986 0.00000 0.00 0.00
## X1987 0.00000 0.00 0.00
## X1988 0.00000 0.00 0.00
## X1989 0.00000 0.00 0.00
## X1990 0.00000 0.00 0.00
## X1991 0.00000 21.22 35.90
## X1992 0.00000 20.67 35.80
## X1993 0.00000 20.18 35.62
## X1994 0.00000 19.73 35.31
## X1995 0.00000 19.34 35.00
## X1996 0.00000 19.01 34.51
## X1997 0.00000 18.70 33.92
## X1998 0.00000 18.48 33.29
## X1999 47.20000 18.23 32.55
## X2000 0.00000 18.33 31.71
## X2001 0.00000 18.49 30.94
## X2002 0.00000 18.59 30.38
## X2003 0.00000 18.82 29.64
## X2004 0.00000 19.07 28.82
## X2005 0.00000 19.34 28.06
## X2006 0.00000 19.64 27.33
## X2007 0.00000 19.94 26.60
## X2008 40.60000 20.26 25.72
## X2009 0.00000 20.56 24.74
## X2010 0.00000 20.78 23.71
## X2011 0.00000 21.10 22.59
## X2012 0.00000 21.66 21.29
## X2013 0.00000 22.15 20.06
## X2014 42.82749 22.67 18.77
## X2015 0.00000 23.12 17.75
## X2016 0.00000 23.49 17.14
## X2017 0.00000 23.87 16.30
## X2018 0.00000 24.23 15.60
## X2019 0.00000 24.58 14.96
## X2020 0.00000 0.00 0.00
## X2021 0.00000 0.00 0.00
## SL.EMP.TOTL.SP.FE.NE.ZS SL.AGR.EMPL.FE.ZS per_lm_alllm.cov_q4_tot
## X1960 0.00 0.00 0
## X1961 0.00 0.00 0
## X1962 0.00 0.00 0
## X1963 0.00 0.00 0
## X1964 0.00 0.00 0
## X1965 0.00 0.00 0
## X1966 0.00 0.00 0
## X1967 0.00 0.00 0
## X1968 0.00 0.00 0
## X1969 0.00 0.00 0
## X1970 0.00 0.00 0
## X1971 0.00 0.00 0
## X1972 0.00 0.00 0
## X1973 0.00 0.00 0
## X1974 0.00 0.00 0
## X1975 0.00 0.00 0
## X1976 0.00 0.00 0
## X1977 0.00 0.00 0
## X1978 0.00 0.00 0
## X1979 0.00 0.00 0
## X1980 0.00 0.00 0
## X1981 0.00 0.00 0
## X1982 0.00 0.00 0
## X1983 0.00 0.00 0
## X1984 0.00 0.00 0
## X1985 0.00 0.00 0
## X1986 0.00 0.00 0
## X1987 0.00 0.00 0
## X1988 0.00 0.00 0
## X1989 0.00 0.00 0
## X1990 0.00 0.00 0
## X1991 0.00 90.39 0
## X1992 0.00 90.12 0
## X1993 0.00 89.80 0
## X1994 0.00 89.25 0
## X1995 0.00 88.72 0
## X1996 63.70 88.02 0
## X1997 0.00 87.20 0
## X1998 0.00 86.38 0
## X1999 80.51 85.38 0
## X2000 0.00 84.63 0
## X2001 0.00 84.10 0
## X2002 0.00 83.65 0
## X2003 93.00 83.19 0
## X2004 0.00 82.73 0
## X2005 0.00 82.35 0
## X2006 0.00 82.03 0
## X2007 0.00 81.68 0
## X2008 78.74 81.15 0
## X2009 0.00 80.54 0
## X2010 0.00 79.83 0
## X2011 0.00 79.12 0
## X2012 0.00 78.44 0
## X2013 74.90 77.76 0
## X2014 76.40 76.95 0
## X2015 0.00 76.29 0
## X2016 0.00 75.89 0
## X2017 24.56 75.22 0
## X2018 0.00 74.62 0
## X2019 0.00 74.08 0
## X2020 0.00 0.00 0
## X2021 0.00 0.00 0
## SL.WAG.0714.MA.ZS SL.UEM.BASC.FE.ZS SL.TLF.0714.SW.ZS SL.SLF.0714.FE.ZS
## X1960 0.00 0.00 0.00000 0.00
## X1961 0.00 0.00 0.00000 0.00
## X1962 0.00 0.00 0.00000 0.00
## X1963 0.00 0.00 0.00000 0.00
## X1964 0.00 0.00 0.00000 0.00
## X1965 0.00 0.00 0.00000 0.00
## X1966 0.00 0.00 0.00000 0.00
## X1967 0.00 0.00 0.00000 0.00
## X1968 0.00 0.00 0.00000 0.00
## X1969 0.00 0.00 0.00000 0.00
## X1970 0.00 0.00 0.00000 0.00
## X1971 0.00 0.00 0.00000 0.00
## X1972 0.00 0.00 0.00000 0.00
## X1973 0.00 0.00 0.00000 0.00
## X1974 0.00 0.00 0.00000 0.00
## X1975 0.00 0.00 0.00000 0.00
## X1976 0.00 0.00 0.00000 0.00
## X1977 0.00 0.00 0.00000 0.00
## X1978 0.00 0.00 0.00000 0.00
## X1979 0.00 0.00 0.00000 0.00
## X1980 0.00 0.00 0.00000 0.00
## X1981 0.00 0.00 0.00000 0.00
## X1982 0.00 0.00 0.00000 0.00
## X1983 0.00 0.00 0.00000 0.00
## X1984 0.00 0.00 0.00000 0.00
## X1985 0.00 0.00 0.00000 0.00
## X1986 0.00 0.00 0.00000 0.00
## X1987 0.00 0.00 0.00000 0.00
## X1988 0.00 0.00 0.00000 0.00
## X1989 0.00 0.00 0.00000 0.00
## X1990 0.00 0.00 0.00000 0.00
## X1991 0.00 0.00 0.00000 0.00
## X1992 0.00 0.00 0.00000 0.00
## X1993 0.00 0.00 0.00000 0.00
## X1994 0.00 0.00 0.00000 0.00
## X1995 0.00 0.00 0.00000 0.00
## X1996 0.00 0.00 0.00000 0.00
## X1997 0.00 0.00 0.00000 0.00
## X1998 0.00 0.00 0.00000 0.00
## X1999 4.00 0.00 64.40000 4.30
## X2000 0.00 0.00 0.00000 0.00
## X2001 0.00 0.00 0.00000 0.00
## X2002 0.00 0.00 0.00000 0.00
## X2003 0.00 0.00 0.00000 0.00
## X2004 0.00 0.00 0.00000 0.00
## X2005 0.00 0.00 0.00000 0.00
## X2006 0.00 0.00 0.00000 0.00
## X2007 0.00 0.00 0.00000 0.00
## X2008 2.54 1.08 86.50598 5.71
## X2009 0.00 0.00 0.00000 0.00
## X2010 0.00 0.00 0.00000 0.00
## X2011 0.00 0.00 0.00000 0.00
## X2012 0.00 0.00 0.00000 0.00
## X2013 0.00 0.00 0.00000 0.00
## X2014 0.00 0.00 91.24856 0.00
## X2015 0.00 0.00 0.00000 0.00
## X2016 0.00 0.00 0.00000 0.00
## X2017 0.00 12.64 0.00000 0.00
## X2018 0.00 0.00 0.00000 0.00
## X2019 0.00 0.00 0.00000 0.00
## X2020 0.00 0.00 0.00000 0.00
## X2021 0.00 0.00 0.00000 0.00
## SL.EMP.WORK.FE.ZS SL.EMP.MPYR.FE.ZS SL.WAG.0714.ZS SL.UEM.BASC.MA.ZS
## X1960 0.00 0.00 0.00 0.00
## X1961 0.00 0.00 0.00 0.00
## X1962 0.00 0.00 0.00 0.00
## X1963 0.00 0.00 0.00 0.00
## X1964 0.00 0.00 0.00 0.00
## X1965 0.00 0.00 0.00 0.00
## X1966 0.00 0.00 0.00 0.00
## X1967 0.00 0.00 0.00 0.00
## X1968 0.00 0.00 0.00 0.00
## X1969 0.00 0.00 0.00 0.00
## X1970 0.00 0.00 0.00 0.00
## X1971 0.00 0.00 0.00 0.00
## X1972 0.00 0.00 0.00 0.00
## X1973 0.00 0.00 0.00 0.00
## X1974 0.00 0.00 0.00 0.00
## X1975 0.00 0.00 0.00 0.00
## X1976 0.00 0.00 0.00 0.00
## X1977 0.00 0.00 0.00 0.00
## X1978 0.00 0.00 0.00 0.00
## X1979 0.00 0.00 0.00 0.00
## X1980 0.00 0.00 0.00 0.00
## X1981 0.00 0.00 0.00 0.00
## X1982 0.00 0.00 0.00 0.00
## X1983 0.00 0.00 0.00 0.00
## X1984 0.00 0.00 0.00 0.00
## X1985 0.00 0.00 0.00 0.00
## X1986 0.00 0.00 0.00 0.00
## X1987 0.00 0.00 0.00 0.00
## X1988 0.00 0.00 0.00 0.00
## X1989 0.00 0.00 0.00 0.00
## X1990 0.00 0.00 0.00 0.00
## X1991 6.18 0.25 0.00 0.00
## X1992 6.17 0.25 0.00 0.00
## X1993 6.17 0.25 0.00 0.00
## X1994 6.19 0.25 0.00 0.00
## X1995 6.22 0.25 0.00 0.00
## X1996 6.28 0.26 0.00 0.00
## X1997 6.37 0.26 0.00 0.00
## X1998 6.47 0.26 0.00 0.00
## X1999 6.59 0.26 3.27 0.00
## X2000 6.74 0.27 0.00 0.00
## X2001 6.88 0.27 0.00 0.00
## X2002 6.96 0.27 0.00 0.00
## X2003 7.06 0.27 0.00 0.00
## X2004 7.19 0.28 0.00 0.00
## X2005 7.33 0.28 0.00 0.00
## X2006 7.45 0.28 0.00 0.00
## X2007 7.59 0.29 0.00 0.00
## X2008 7.77 0.29 2.08 1.00
## X2009 8.02 0.30 0.00 0.00
## X2010 8.31 0.31 0.00 0.00
## X2011 8.67 0.32 0.00 0.00
## X2012 9.13 0.34 0.00 0.00
## X2013 9.62 0.35 0.00 0.00
## X2014 10.19 0.37 0.00 0.00
## X2015 10.71 0.39 0.00 0.00
## X2016 11.00 0.40 0.00 0.00
## X2017 11.38 0.41 0.00 8.65
## X2018 11.75 0.42 0.00 0.00
## X2019 12.11 0.43 0.00 0.00
## X2020 0.00 0.00 0.00 0.00
## X2021 0.00 0.00 0.00 0.00
## SL.SLF.0714.MA.ZS SL.EMP.WORK.MA.ZS SL.EMP.MPYR.MA.ZS
## X1960 0.00 0.00 0.00
## X1961 0.00 0.00 0.00
## X1962 0.00 0.00 0.00
## X1963 0.00 0.00 0.00
## X1964 0.00 0.00 0.00
## X1965 0.00 0.00 0.00
## X1966 0.00 0.00 0.00
## X1967 0.00 0.00 0.00
## X1968 0.00 0.00 0.00
## X1969 0.00 0.00 0.00
## X1970 0.00 0.00 0.00
## X1971 0.00 0.00 0.00
## X1972 0.00 0.00 0.00
## X1973 0.00 0.00 0.00
## X1974 0.00 0.00 0.00
## X1975 0.00 0.00 0.00
## X1976 0.00 0.00 0.00
## X1977 0.00 0.00 0.00
## X1978 0.00 0.00 0.00
## X1979 0.00 0.00 0.00
## X1980 0.00 0.00 0.00
## X1981 0.00 0.00 0.00
## X1982 0.00 0.00 0.00
## X1983 0.00 0.00 0.00
## X1984 0.00 0.00 0.00
## X1985 0.00 0.00 0.00
## X1986 0.00 0.00 0.00
## X1987 0.00 0.00 0.00
## X1988 0.00 0.00 0.00
## X1989 0.00 0.00 0.00
## X1990 0.00 0.00 0.00
## X1991 0.00 22.39 1.51
## X1992 0.00 22.39 1.50
## X1993 0.00 22.38 1.50
## X1994 0.00 22.60 1.50
## X1995 0.00 22.66 1.51
## X1996 0.00 22.89 1.51
## X1997 0.00 23.19 1.52
## X1998 0.00 23.39 1.54
## X1999 4.10 23.72 1.55
## X2000 0.00 24.27 1.56
## X2001 0.00 24.76 1.57
## X2002 0.00 24.65 1.58
## X2003 0.00 24.92 1.59
## X2004 0.00 25.32 1.59
## X2005 0.00 25.62 1.60
## X2006 0.00 25.90 1.61
## X2007 0.00 26.17 1.62
## X2008 5.17 26.78 1.63
## X2009 0.00 27.39 1.64
## X2010 0.00 28.15 1.65
## X2011 0.00 28.93 1.67
## X2012 0.00 29.97 1.71
## X2013 0.00 31.03 1.73
## X2014 0.00 32.35 1.76
## X2015 0.00 33.22 1.79
## X2016 0.00 33.37 1.81
## X2017 0.00 34.38 1.80
## X2018 0.00 35.19 1.80
## X2019 0.00 36.01 1.79
## X2020 0.00 0.00 0.00
## X2021 0.00 0.00 0.00
## per_lm_alllm.adq_pop_tot SL.UEM.NEET.FE.ZS SL.TLF.0714.WK.ZS
## X1960 0 0.00 0.000000
## X1961 0 0.00 0.000000
## X1962 0 0.00 0.000000
## X1963 0 0.00 0.000000
## X1964 0 0.00 0.000000
## X1965 0 0.00 0.000000
## X1966 0 0.00 0.000000
## X1967 0 0.00 0.000000
## X1968 0 0.00 0.000000
## X1969 0 0.00 0.000000
## X1970 0 0.00 0.000000
## X1971 0 0.00 0.000000
## X1972 0 0.00 0.000000
## X1973 0 0.00 0.000000
## X1974 0 0.00 0.000000
## X1975 0 0.00 0.000000
## X1976 0 0.00 0.000000
## X1977 0 0.00 0.000000
## X1978 0 0.00 0.000000
## X1979 0 0.00 0.000000
## X1980 0 0.00 0.000000
## X1981 0 0.00 0.000000
## X1982 0 0.00 0.000000
## X1983 0 0.00 0.000000
## X1984 0 0.00 0.000000
## X1985 0 0.00 0.000000
## X1986 0 0.00 0.000000
## X1987 0 0.00 0.000000
## X1988 0 0.00 0.000000
## X1989 0 0.00 0.000000
## X1990 0 0.00 0.000000
## X1991 0 0.00 0.000000
## X1992 0 0.00 0.000000
## X1993 0 0.00 0.000000
## X1994 0 0.00 0.000000
## X1995 0 0.00 0.000000
## X1996 0 0.00 0.000000
## X1997 0 0.00 0.000000
## X1998 0 0.00 0.000000
## X1999 0 0.00 35.600000
## X2000 0 0.00 0.000000
## X2001 0 0.00 0.000000
## X2002 0 0.00 0.000000
## X2003 0 0.00 0.000000
## X2004 0 0.00 0.000000
## X2005 0 0.00 0.000000
## X2006 0 0.00 0.000000
## X2007 0 0.00 0.000000
## X2008 0 24.11 13.494023
## X2009 0 0.00 0.000000
## X2010 0 0.00 0.000000
## X2011 0 0.00 0.000000
## X2012 0 0.00 0.000000
## X2013 0 0.00 0.000000
## X2014 0 0.00 8.751441
## X2015 0 0.00 0.000000
## X2016 0 0.00 0.000000
## X2017 0 45.82 0.000000
## X2018 0 0.00 0.000000
## X2019 0 0.00 0.000000
## X2020 0 0.00 0.000000
## X2021 0 0.00 0.000000
## SL.SRV.EMPL.FE.ZS SL.FAM.WORK.FE.ZS SL.EMP.SMGT.FE.ZS SL.AGR.0714.ZS
## X1960 0.00 0.00 0.0 0.00
## X1961 0.00 0.00 0.0 0.00
## X1962 0.00 0.00 0.0 0.00
## X1963 0.00 0.00 0.0 0.00
## X1964 0.00 0.00 0.0 0.00
## X1965 0.00 0.00 0.0 0.00
## X1966 0.00 0.00 0.0 0.00
## X1967 0.00 0.00 0.0 0.00
## X1968 0.00 0.00 0.0 0.00
## X1969 0.00 0.00 0.0 0.00
## X1970 0.00 0.00 0.0 0.00
## X1971 0.00 0.00 0.0 0.00
## X1972 0.00 0.00 0.0 0.00
## X1973 0.00 0.00 0.0 0.00
## X1974 0.00 0.00 0.0 0.00
## X1975 0.00 0.00 0.0 0.00
## X1976 0.00 0.00 0.0 0.00
## X1977 0.00 0.00 0.0 0.00
## X1978 0.00 0.00 0.0 0.00
## X1979 0.00 0.00 0.0 0.00
## X1980 0.00 0.00 0.0 0.00
## X1981 0.00 0.00 0.0 0.00
## X1982 0.00 0.00 0.0 0.00
## X1983 0.00 0.00 0.0 0.00
## X1984 0.00 0.00 0.0 0.00
## X1985 0.00 0.00 0.0 0.00
## X1986 0.00 0.00 0.0 0.00
## X1987 0.00 0.00 0.0 0.00
## X1988 0.00 0.00 0.0 0.00
## X1989 0.00 0.00 0.0 0.00
## X1990 0.00 0.00 0.0 0.00
## X1991 8.17 70.70 0.0 0.00
## X1992 8.22 70.76 0.0 0.00
## X1993 8.30 70.80 0.0 0.00
## X1994 8.50 70.75 0.0 0.00
## X1995 8.67 70.72 0.0 0.00
## X1996 8.89 70.55 0.0 0.00
## X1997 9.15 70.30 0.0 0.00
## X1998 9.35 70.04 0.0 0.00
## X1999 9.58 69.68 0.0 87.01
## X2000 9.90 69.30 0.0 0.00
## X2001 10.15 68.95 0.0 0.00
## X2002 10.41 68.77 0.0 0.00
## X2003 10.67 68.44 0.0 0.00
## X2004 10.97 68.02 0.0 0.00
## X2005 11.25 67.62 0.0 0.00
## X2006 11.51 67.20 0.0 0.00
## X2007 11.80 66.79 0.0 0.00
## X2008 12.16 66.23 0.0 88.97
## X2009 12.60 65.51 0.0 0.00
## X2010 13.10 64.63 0.0 0.00
## X2011 13.61 63.55 0.0 0.00
## X2012 14.09 62.29 0.0 0.00
## X2013 14.57 60.93 0.0 0.00
## X2014 15.11 59.47 0.0 0.00
## X2015 15.59 58.23 0.0 0.00
## X2016 15.99 57.45 0.0 0.00
## X2017 16.45 56.45 13.9 0.00
## X2018 16.89 55.59 0.0 0.00
## X2019 17.30 54.79 0.0 0.00
## X2020 0.00 0.00 0.0 0.00
## X2021 0.00 0.00 0.0 0.00
## per_lm_alllm.cov_q3_tot SL.UEM.TOTL.NE.ZS SL.UEM.ADVN.FE.ZS
## X1960 0 0.00 0.00
## X1961 0 0.00 0.00
## X1962 0 0.00 0.00
## X1963 0 0.00 0.00
## X1964 0 0.00 0.00
## X1965 0 0.00 0.00
## X1966 0 0.00 0.00
## X1967 0 0.00 0.00
## X1968 0 0.00 0.00
## X1969 0 0.00 0.00
## X1970 0 0.00 0.00
## X1971 0 0.00 0.00
## X1972 0 0.00 0.00
## X1973 0 0.00 0.00
## X1974 0 0.00 0.00
## X1975 0 0.00 0.00
## X1976 0 0.00 0.00
## X1977 0 0.00 0.00
## X1978 0 0.00 0.00
## X1979 0 0.00 0.00
## X1980 0 0.00 0.00
## X1981 0 0.00 0.00
## X1982 0 0.00 0.00
## X1983 0 0.00 0.00
## X1984 0 0.00 0.00
## X1985 0 0.00 0.00
## X1986 0 0.00 0.00
## X1987 0 0.00 0.00
## X1988 0 0.00 0.00
## X1989 0 0.00 0.00
## X1990 0 0.00 0.00
## X1991 0 0.00 0.00
## X1992 0 0.00 0.00
## X1993 0 0.00 0.00
## X1994 0 0.00 0.00
## X1995 0 0.00 0.00
## X1996 0 4.50 0.00
## X1997 0 0.00 0.00
## X1998 0 0.00 0.00
## X1999 0 1.85 0.00
## X2000 0 0.00 0.00
## X2001 0 0.00 0.00
## X2002 0 0.00 0.00
## X2003 0 0.00 0.00
## X2004 0 0.00 0.00
## X2005 0 0.00 0.00
## X2006 0 0.00 0.00
## X2007 0 0.00 0.00
## X2008 0 1.33 5.90
## X2009 0 0.00 0.00
## X2010 0 0.00 0.00
## X2011 0 0.00 0.00
## X2012 0 0.00 0.00
## X2013 0 0.00 0.00
## X2014 0 0.00 0.00
## X2015 0 3.10 0.00
## X2016 0 0.00 0.00
## X2017 0 10.66 7.68
## X2018 0 0.00 0.00
## X2019 0 0.00 0.00
## X2020 0 0.00 0.00
## X2021 0 0.00 0.00
## SL.MNF.0714.FE.ZS SL.EMP.VULN.FE.ZS SL.EMP.1524.SP.MA.ZS SL.UEM.BASC.ZS
## X1960 0.000000 0.00 0.000 0.00
## X1961 0.000000 0.00 0.000 0.00
## X1962 0.000000 0.00 0.000 0.00
## X1963 0.000000 0.00 0.000 0.00
## X1964 0.000000 0.00 0.000 0.00
## X1965 0.000000 0.00 0.000 0.00
## X1966 0.000000 0.00 0.000 0.00
## X1967 0.000000 0.00 0.000 0.00
## X1968 0.000000 0.00 0.000 0.00
## X1969 0.000000 0.00 0.000 0.00
## X1970 0.000000 0.00 0.000 0.00
## X1971 0.000000 0.00 0.000 0.00
## X1972 0.000000 0.00 0.000 0.00
## X1973 0.000000 0.00 0.000 0.00
## X1974 0.000000 0.00 0.000 0.00
## X1975 0.000000 0.00 0.000 0.00
## X1976 0.000000 0.00 0.000 0.00
## X1977 0.000000 0.00 0.000 0.00
## X1978 0.000000 0.00 0.000 0.00
## X1979 0.000000 0.00 0.000 0.00
## X1980 0.000000 0.00 0.000 0.00
## X1981 0.000000 0.00 0.000 0.00
## X1982 0.000000 0.00 0.000 0.00
## X1983 0.000000 0.00 0.000 0.00
## X1984 0.000000 0.00 0.000 0.00
## X1985 0.000000 0.00 0.000 0.00
## X1986 0.000000 0.00 0.000 0.00
## X1987 0.000000 0.00 0.000 0.00
## X1988 0.000000 0.00 0.000 0.00
## X1989 0.000000 0.00 0.000 0.00
## X1990 0.000000 0.00 0.000 0.00
## X1991 0.000000 93.56 80.967 0.00
## X1992 0.000000 93.58 80.888 0.00
## X1993 0.000000 93.58 80.769 0.00
## X1994 0.000000 93.57 80.581 0.00
## X1995 0.000000 93.53 80.583 0.00
## X1996 0.000000 93.47 80.439 0.00
## X1997 0.000000 93.37 80.364 0.00
## X1998 0.000000 93.27 80.326 0.00
## X1999 1.531663 93.15 80.232 0.00
## X2000 0.000000 93.00 79.724 0.00
## X2001 0.000000 92.85 79.153 0.00
## X2002 0.000000 92.77 78.608 0.00
## X2003 0.000000 92.67 77.941 0.00
## X2004 0.000000 92.54 77.313 0.00
## X2005 0.000000 92.40 76.701 0.00
## X2006 0.000000 92.26 76.104 0.00
## X2007 0.000000 92.13 75.483 0.00
## X2008 1.480000 91.94 74.818 1.03
## X2009 0.000000 91.68 73.823 0.00
## X2010 0.000000 91.39 72.754 0.00
## X2011 0.000000 91.01 71.807 0.00
## X2012 0.000000 90.53 70.844 0.00
## X2013 0.000000 90.03 69.964 0.00
## X2014 0.000000 89.43 69.017 0.00
## X2015 0.000000 88.90 68.283 0.00
## X2016 0.000000 88.61 68.164 0.00
## X2017 0.000000 88.21 67.495 9.81
## X2018 0.000000 87.83 67.277 0.00
## X2019 0.000000 87.47 67.081 0.00
## X2020 0.000000 0.00 59.401 0.00
## X2021 0.000000 0.00 60.620 0.00
## SL.TLF.PART.FE.ZS SL.TLF.0714.WK.FE.ZS SL.SLF.0714.ZS SL.EMP.WORK.ZS
## X1960 0.00 0.00000 0.00 0.00
## X1961 0.00 0.00000 0.00 0.00
## X1962 0.00 0.00000 0.00 0.00
## X1963 0.00 0.00000 0.00 0.00
## X1964 0.00 0.00000 0.00 0.00
## X1965 0.00 0.00000 0.00 0.00
## X1966 0.00 0.00000 0.00 0.00
## X1967 0.00 0.00000 0.00 0.00
## X1968 0.00 0.00000 0.00 0.00
## X1969 0.00 0.00000 0.00 0.00
## X1970 0.00 0.00000 0.00 0.00
## X1971 0.00 0.00000 0.00 0.00
## X1972 0.00 0.00000 0.00 0.00
## X1973 0.00 0.00000 0.00 0.00
## X1974 0.00 0.00000 0.00 0.00
## X1975 0.00 0.00000 0.00 0.00
## X1976 0.00 0.00000 0.00 0.00
## X1977 0.00 0.00000 0.00 0.00
## X1978 0.00 0.00000 0.00 0.00
## X1979 0.00 0.00000 0.00 0.00
## X1980 0.00 0.00000 0.00 0.00
## X1981 0.00 0.00000 0.00 0.00
## X1982 0.00 0.00000 0.00 0.00
## X1983 0.00 0.00000 0.00 0.00
## X1984 0.00 0.00000 0.00 0.00
## X1985 0.00 0.00000 0.00 0.00
## X1986 0.00 0.00000 0.00 0.00
## X1987 0.00 0.00000 0.00 0.00
## X1988 0.00 0.00000 0.00 0.00
## X1989 0.00 0.00000 0.00 0.00
## X1990 0.00 0.00000 0.00 0.00
## X1991 0.00 0.00000 0.00 14.56
## X1992 0.00 0.00000 0.00 14.60
## X1993 0.00 0.00000 0.00 14.64
## X1994 0.00 0.00000 0.00 14.81
## X1995 0.00 0.00000 0.00 14.87
## X1996 0.00 0.00000 0.00 15.01
## X1997 0.00 0.00000 0.00 15.16
## X1998 0.00 0.00000 0.00 15.26
## X1999 0.00 46.20000 4.23 15.43
## X2000 0.00 0.00000 0.00 15.74
## X2001 0.00 0.00000 0.00 16.05
## X2002 0.00 0.00000 0.00 16.03
## X2003 0.00 0.00000 0.00 16.22
## X2004 0.00 0.00000 0.00 16.48
## X2005 0.00 0.00000 0.00 16.69
## X2006 0.00 0.00000 0.00 16.90
## X2007 0.00 0.00000 0.00 17.10
## X2008 34.05 16.24081 5.46 17.50
## X2009 0.00 0.00000 0.00 17.87
## X2010 0.00 0.00000 0.00 18.30
## X2011 0.00 0.00000 0.00 18.67
## X2012 0.00 0.00000 0.00 19.16
## X2013 0.00 0.00000 0.00 19.63
## X2014 0.00 10.20677 0.00 20.27
## X2015 0.00 0.00000 0.00 20.71
## X2016 0.00 0.00000 0.00 20.85
## X2017 40.26 0.00000 0.00 21.48
## X2018 0.00 0.00000 0.00 22.04
## X2019 0.00 0.00000 0.00 22.67
## X2020 0.00 0.00000 0.00 0.00
## X2021 0.00 0.00000 0.00 0.00
## SL.EMP.MPYR.ZS per_lm_alllm.ben_q1_tot SL.UEM.TOTL.ZS SL.UEM.ADVN.MA.ZS
## X1960 0.00 0 0.000 0.00
## X1961 0.00 0 0.000 0.00
## X1962 0.00 0 0.000 0.00
## X1963 0.00 0 0.000 0.00
## X1964 0.00 0 0.000 0.00
## X1965 0.00 0 0.000 0.00
## X1966 0.00 0 0.000 0.00
## X1967 0.00 0 0.000 0.00
## X1968 0.00 0 0.000 0.00
## X1969 0.00 0 0.000 0.00
## X1970 0.00 0 0.000 0.00
## X1971 0.00 0 0.000 0.00
## X1972 0.00 0 0.000 0.00
## X1973 0.00 0 0.000 0.00
## X1974 0.00 0 0.000 0.00
## X1975 0.00 0 0.000 0.00
## X1976 0.00 0 0.000 0.00
## X1977 0.00 0 0.000 0.00
## X1978 0.00 0 0.000 0.00
## X1979 0.00 0 0.000 0.00
## X1980 0.00 0 0.000 0.00
## X1981 0.00 0 0.000 0.00
## X1982 0.00 0 0.000 0.00
## X1983 0.00 0 0.000 0.00
## X1984 0.00 0 0.000 0.00
## X1985 0.00 0 0.000 0.00
## X1986 0.00 0 0.000 0.00
## X1987 0.00 0 0.000 0.00
## X1988 0.00 0 0.000 0.00
## X1989 0.00 0 0.000 0.00
## X1990 0.00 0 0.000 0.00
## X1991 0.90 0 1.766 0.00
## X1992 0.90 0 1.707 0.00
## X1993 0.91 0 1.716 0.00
## X1994 0.91 0 1.887 0.00
## X1995 0.91 0 1.738 0.00
## X1996 0.92 0 1.821 0.00
## X1997 0.92 0 1.831 0.00
## X1998 0.93 0 1.781 0.00
## X1999 0.93 0 1.850 0.00
## X2000 0.93 0 1.855 0.00
## X2001 0.94 0 1.746 0.00
## X2002 0.94 0 1.544 0.00
## X2003 0.95 0 1.595 0.00
## X2004 0.95 0 1.554 0.00
## X2005 0.96 0 1.458 0.00
## X2006 0.96 0 1.393 0.00
## X2007 0.97 0 1.331 0.00
## X2008 0.97 0 1.330 4.59
## X2009 0.98 0 1.551 0.00
## X2010 0.99 0 1.820 0.00
## X2011 0.99 0 2.030 0.00
## X2012 1.00 0 2.330 0.00
## X2013 1.00 0 2.551 0.00
## X2014 1.01 0 2.944 0.00
## X2015 1.01 0 3.100 0.00
## X2016 1.02 0 2.868 0.00
## X2017 1.02 0 3.318 8.61
## X2018 1.03 0 3.193 0.00
## X2019 1.03 0 3.097 0.00
## X2020 0.00 0 4.724 0.00
## X2021 0.00 0 5.052 0.00
## SL.TLF.0714.SW.MA.ZS SL.MNF.0714.MA.ZS SL.EMP.VULN.MA.ZS
## X1960 0.00000 0.000000 0.00
## X1961 0.00000 0.000000 0.00
## X1962 0.00000 0.000000 0.00
## X1963 0.00000 0.000000 0.00
## X1964 0.00000 0.000000 0.00
## X1965 0.00000 0.000000 0.00
## X1966 0.00000 0.000000 0.00
## X1967 0.00000 0.000000 0.00
## X1968 0.00000 0.000000 0.00
## X1969 0.00000 0.000000 0.00
## X1970 0.00000 0.000000 0.00
## X1971 0.00000 0.000000 0.00
## X1972 0.00000 0.000000 0.00
## X1973 0.00000 0.000000 0.00
## X1974 0.00000 0.000000 0.00
## X1975 0.00000 0.000000 0.00
## X1976 0.00000 0.000000 0.00
## X1977 0.00000 0.000000 0.00
## X1978 0.00000 0.000000 0.00
## X1979 0.00000 0.000000 0.00
## X1980 0.00000 0.000000 0.00
## X1981 0.00000 0.000000 0.00
## X1982 0.00000 0.000000 0.00
## X1983 0.00000 0.000000 0.00
## X1984 0.00000 0.000000 0.00
## X1985 0.00000 0.000000 0.00
## X1986 0.00000 0.000000 0.00
## X1987 0.00000 0.000000 0.00
## X1988 0.00000 0.000000 0.00
## X1989 0.00000 0.000000 0.00
## X1990 0.00000 0.000000 0.00
## X1991 0.00000 0.000000 76.10
## X1992 0.00000 0.000000 76.11
## X1993 0.00000 0.000000 76.12
## X1994 0.00000 0.000000 75.90
## X1995 0.00000 0.000000 75.84
## X1996 0.00000 0.000000 75.60
## X1997 0.00000 0.000000 75.29
## X1998 0.00000 0.000000 75.08
## X1999 76.77725 1.203638 74.73
## X2000 0.00000 0.000000 74.17
## X2001 0.00000 0.000000 73.68
## X2002 0.00000 0.000000 73.77
## X2003 0.00000 0.000000 73.50
## X2004 0.00000 0.000000 73.08
## X2005 0.00000 0.000000 72.77
## X2006 0.00000 0.000000 72.49
## X2007 0.00000 0.000000 72.21
## X2008 89.76287 1.270000 71.60
## X2009 0.00000 0.000000 70.97
## X2010 0.00000 0.000000 70.20
## X2011 0.00000 0.000000 69.40
## X2012 0.00000 0.000000 68.33
## X2013 0.00000 0.000000 67.23
## X2014 92.86377 0.000000 65.89
## X2015 0.00000 0.000000 64.99
## X2016 0.00000 0.000000 64.83
## X2017 0.00000 0.000000 63.82
## X2018 0.00000 0.000000 63.02
## X2019 0.00000 0.000000 62.20
## X2020 0.00000 0.000000 0.00
## X2021 0.00000 0.000000 0.00
## SL.EMP.1524.SP.NE.ZS SL.UEM.TOTL.MA.NE.ZS SL.UEM.1524.NE.ZS
## X1960 0.00 0.00 0.00
## X1961 0.00 0.00 0.00
## X1962 0.00 0.00 0.00
## X1963 0.00 0.00 0.00
## X1964 0.00 0.00 0.00
## X1965 0.00 0.00 0.00
## X1966 0.00 0.00 0.00
## X1967 0.00 0.00 0.00
## X1968 0.00 0.00 0.00
## X1969 0.00 0.00 0.00
## X1970 0.00 0.00 0.00
## X1971 0.00 0.00 0.00
## X1972 0.00 0.00 0.00
## X1973 0.00 0.00 0.00
## X1974 0.00 0.00 0.00
## X1975 0.00 0.00 0.00
## X1976 0.00 0.00 0.00
## X1977 0.00 0.00 0.00
## X1978 0.00 0.00 0.00
## X1979 0.00 0.00 0.00
## X1980 0.00 0.00 0.00
## X1981 0.00 0.00 0.00
## X1982 0.00 0.00 0.00
## X1983 0.00 0.00 0.00
## X1984 0.00 0.00 0.00
## X1985 0.00 0.00 0.00
## X1986 0.00 0.00 0.00
## X1987 0.00 0.00 0.00
## X1988 0.00 0.00 0.00
## X1989 0.00 0.00 0.00
## X1990 0.00 0.00 0.00
## X1991 0.00 0.00 0.00
## X1992 0.00 0.00 0.00
## X1993 0.00 0.00 0.00
## X1994 0.00 0.00 0.00
## X1995 0.00 0.00 0.00
## X1996 0.00 0.00 0.00
## X1997 0.00 0.00 0.00
## X1998 0.00 0.00 0.00
## X1999 0.00 2.03 2.98
## X2000 0.00 0.00 0.00
## X2001 0.00 0.00 0.00
## X2002 0.00 0.00 0.00
## X2003 0.00 0.00 0.00
## X2004 0.00 0.00 0.00
## X2005 0.00 0.00 0.00
## X2006 0.00 0.00 0.00
## X2007 0.00 0.00 0.00
## X2008 74.26 1.59 2.18
## X2009 0.00 0.00 0.00
## X2010 0.00 0.00 0.00
## X2011 0.00 0.00 0.00
## X2012 0.00 0.00 0.00
## X2013 0.00 0.00 0.00
## X2014 0.00 0.00 0.00
## X2015 0.00 3.40 0.00
## X2016 0.00 0.00 0.00
## X2017 23.45 9.79 20.53
## X2018 0.00 0.00 0.00
## X2019 0.00 0.00 0.00
## X2020 0.00 0.00 0.00
## X2021 0.00 0.00 0.00
## SL.IND.EMPL.MA.ZS SL.EMP.TOTL.SP.NE.ZS SL.EMP.1524.SP.FE.ZS
## X1960 0.00 0.00 0.000
## X1961 0.00 0.00 0.000
## X1962 0.00 0.00 0.000
## X1963 0.00 0.00 0.000
## X1964 0.00 0.00 0.000
## X1965 0.00 0.00 0.000
## X1966 0.00 0.00 0.000
## X1967 0.00 0.00 0.000
## X1968 0.00 0.00 0.000
## X1969 0.00 0.00 0.000
## X1970 0.00 0.00 0.000
## X1971 0.00 0.00 0.000
## X1972 0.00 0.00 0.000
## X1973 0.00 0.00 0.000
## X1974 0.00 0.00 0.000
## X1975 0.00 0.00 0.000
## X1976 0.00 0.00 0.000
## X1977 0.00 0.00 0.000
## X1978 0.00 0.00 0.000
## X1979 0.00 0.00 0.000
## X1980 0.00 0.00 0.000
## X1981 0.00 0.00 0.000
## X1982 0.00 0.00 0.000
## X1983 0.00 0.00 0.000
## X1984 0.00 0.00 0.000
## X1985 0.00 0.00 0.000
## X1986 0.00 0.00 0.000
## X1987 0.00 0.00 0.000
## X1988 0.00 0.00 0.000
## X1989 0.00 0.00 0.000
## X1990 0.00 0.00 0.000
## X1991 3.99 0.00 77.314
## X1992 4.66 0.00 77.537
## X1993 5.42 0.00 77.789
## X1994 6.44 0.00 78.024
## X1995 7.52 0.00 78.372
## X1996 8.85 67.20 78.311
## X1997 10.44 0.00 78.293
## X1998 12.19 0.00 78.321
## X1999 14.34 84.25 78.362
## X2000 15.30 0.00 77.874
## X2001 15.95 0.00 77.411
## X2002 16.21 0.00 76.959
## X2003 16.66 91.60 76.421
## X2004 17.03 0.00 75.893
## X2005 17.28 0.00 75.368
## X2006 17.51 0.00 74.812
## X2007 17.70 0.00 74.242
## X2008 18.17 82.22 73.636
## X2009 18.44 0.00 73.225
## X2010 18.82 0.00 72.858
## X2011 19.19 0.00 72.689
## X2012 19.80 0.00 72.729
## X2013 20.45 78.40 72.948
## X2014 21.21 79.80 73.085
## X2015 21.67 0.00 73.227
## X2016 21.59 0.00 73.874
## X2017 22.34 35.66 73.991
## X2018 22.88 0.00 74.179
## X2019 23.31 0.00 74.179
## X2020 0.00 0.00 64.136
## X2021 0.00 0.00 67.241
## SL.WAG.0714.FE.ZS SL.UEM.ADVN.ZS SL.MNF.0714.ZS SL.EMP.VULN.ZS
## X1960 0.00 0.00 0.00 0.00
## X1961 0.00 0.00 0.00 0.00
## X1962 0.00 0.00 0.00 0.00
## X1963 0.00 0.00 0.00 0.00
## X1964 0.00 0.00 0.00 0.00
## X1965 0.00 0.00 0.00 0.00
## X1966 0.00 0.00 0.00 0.00
## X1967 0.00 0.00 0.00 0.00
## X1968 0.00 0.00 0.00 0.00
## X1969 0.00 0.00 0.00 0.00
## X1970 0.00 0.00 0.00 0.00
## X1971 0.00 0.00 0.00 0.00
## X1972 0.00 0.00 0.00 0.00
## X1973 0.00 0.00 0.00 0.00
## X1974 0.00 0.00 0.00 0.00
## X1975 0.00 0.00 0.00 0.00
## X1976 0.00 0.00 0.00 0.00
## X1977 0.00 0.00 0.00 0.00
## X1978 0.00 0.00 0.00 0.00
## X1979 0.00 0.00 0.00 0.00
## X1980 0.00 0.00 0.00 0.00
## X1981 0.00 0.00 0.00 0.00
## X1982 0.00 0.00 0.00 0.00
## X1983 0.00 0.00 0.00 0.00
## X1984 0.00 0.00 0.00 0.00
## X1985 0.00 0.00 0.00 0.00
## X1986 0.00 0.00 0.00 0.00
## X1987 0.00 0.00 0.00 0.00
## X1988 0.00 0.00 0.00 0.00
## X1989 0.00 0.00 0.00 0.00
## X1990 0.00 0.00 0.00 0.00
## X1991 0.00 0.00 0.00 84.55
## X1992 0.00 0.00 0.00 84.50
## X1993 0.00 0.00 0.00 84.45
## X1994 0.00 0.00 0.00 84.29
## X1995 0.00 0.00 0.00 84.22
## X1996 0.00 0.00 0.00 84.08
## X1997 0.00 0.00 0.00 83.92
## X1998 0.00 0.00 0.00 83.82
## X1999 2.70 0.00 1.38 83.64
## X2000 0.00 0.00 0.00 83.33
## X2001 0.00 0.00 0.00 83.02
## X2002 0.00 0.00 0.00 83.03
## X2003 0.00 0.00 0.00 82.84
## X2004 0.00 0.00 0.00 82.57
## X2005 0.00 0.00 0.00 82.35
## X2006 0.00 0.00 0.00 82.14
## X2007 0.00 0.00 0.00 81.94
## X2008 1.69 5.04 1.39 81.53
## X2009 0.00 0.00 0.00 81.15
## X2010 0.00 0.00 0.00 80.71
## X2011 0.00 0.00 0.00 80.34
## X2012 0.00 0.00 0.00 79.85
## X2013 0.00 0.00 0.00 79.37
## X2014 0.00 0.00 0.00 78.72
## X2015 0.00 0.00 0.00 78.28
## X2016 0.00 0.00 0.00 78.13
## X2017 0.00 8.32 0.00 77.50
## X2018 0.00 0.00 0.00 76.93
## X2019 0.00 0.00 0.00 76.31
## X2020 0.00 0.00 0.00 0.00
## X2021 0.00 0.00 0.00 0.00
## SL.EMP.1524.SP.ZS
## X1960 0.000
## X1961 0.000
## X1962 0.000
## X1963 0.000
## X1964 0.000
## X1965 0.000
## X1966 0.000
## X1967 0.000
## X1968 0.000
## X1969 0.000
## X1970 0.000
## X1971 0.000
## X1972 0.000
## X1973 0.000
## X1974 0.000
## X1975 0.000
## X1976 0.000
## X1977 0.000
## X1978 0.000
## X1979 0.000
## X1980 0.000
## X1981 0.000
## X1982 0.000
## X1983 0.000
## X1984 0.000
## X1985 0.000
## X1986 0.000
## X1987 0.000
## X1988 0.000
## X1989 0.000
## X1990 0.000
## X1991 79.179
## X1992 79.263
## X1993 79.334
## X1994 79.356
## X1995 79.524
## X1996 79.407
## X1997 79.346
## X1998 79.328
## X1999 79.292
## X2000 78.788
## X2001 78.263
## X2002 77.758
## X2003 77.152
## X2004 76.572
## X2005 76.004
## X2006 75.430
## X2007 74.838
## X2008 74.205
## X2009 73.513
## X2010 72.808
## X2011 72.271
## X2012 71.846
## X2013 71.562
## X2014 71.200
## X2015 70.922
## X2016 71.194
## X2017 70.913
## X2018 70.872
## X2019 70.738
## X2020 61.816
## X2021 63.986# Viewing the data after preparing it.
View(nepal_df)Parameter Selection:
## Sample parameters selection to achieve project objective.
# GC.TAX.GSRV.VA.ZS -> Taxes on goods and services(%)
# GC.TAX.GSRV.CN -> Taxes on goods and services (current LCU)
# GC.TAX.TOTL.GD.ZS -> Tax revenue (% of GDP)
# IC.TAX.LABR.CP.ZS -> Labor tax and contributions (% of commercial profits) | Labor tax and contributions is the amount of taxes and mandatory contributions on labor paid by the business.
# GC.TAX.YPKG.CN -> Taxes on income, profits and capital gains (current LCU)
# GC.TAX.IMPT.ZS -> Customs and other import duties (% of tax revenue)
# GC.TAX.IMPT.CN -> Customs and other import duties (current LCU)
# GC.TAX.EXPT.ZS -> Taxes on exports (% of tax revenue)
# GC.TAX.EXPT.CN -> Taxes on exports (current LCU)
# IC.TAX.TOTL.CP.ZS -> Total tax and contribution rate (% of profit)
# NY.GDP.MKTP.KD -> GDP (constant 2015 US$)
# NY.GDP.MKTP.KD.ZG -> GDP growth (annual %)
# SL.IND.EMPL.ZS -> Employment in industry (% of total employment) (modeled ILO estimate)
# SL.IND.EMPL.FE.ZS -> Employment in industry, female (% of female employment) (modeled ILO estimate)
# SL.IND.EMPL.MA.ZS -> Employment in industry, male (% of male employment) (modeled ILO estimate)
# SL.AGR.EMPL.ZS -> Employment in agriculture (% of total employment) (modeled ILO estimate)
# SL.AGR.EMPL.FE.ZS -> Employment in agriculture, female (% of female employment) (modeled ILO estimate)
# SL.AGR.EMPL.MA.ZS -> Employment in agriculture, male (% of male employment) (modeled ILO estimate)## Sample parameter selection to achieve project objective.
# GC.TAX.GSRV.VA.ZS, NY.GDP.MKTP.KD 0.8481471
# GC.TAX.GSRV.VA.ZS, SL.IND.EMPL.ZS 0.8880489
# GC.TAX.GSRV.VA.ZS, SL.IND.EMPL.FE.ZS 0.8928028
# GC.TAX.GSRV.VA.ZS, SL.IND.EMPL.MA.ZS 0.8939309
# GC.TAX.GSRV.VA.ZS, SL.AGR.EMPL.ZS 0.8268747
# GC.TAX.GSRV.VA.ZS, SL.AGR.EMPL.FE.ZS 0.8333567
# GC.TAX.GSRV.VA.ZS, SL.AGR.EMPL.MA.ZS 0.8062022
# GC.TAX.INTT.RV.ZS, SL.IND.EMPL.ZS 0.727295
# GC.TAX.INTT.RV.ZS, SL.IND.EMPL.FE.ZS 0.7059692
# GC.TAX.INTT.RV.ZS, SL.IND.EMPL.MA.ZS 0.7179946
# GC.TAX.TOTL.GD.ZS, SL.IND.EMPL.ZS 0.893035
# GC.TAX.TOTL.GD.ZS, SL.IND.EMPL.FE.ZS 0.8984195
# GC.TAX.TOTL.GD.ZS, SL.IND.EMPL.MA.ZS 0.8992892
# IC.TAX.LABR.CP.ZS
# GC.TAX.YPKG.CN
# GC.TAX.IMPT.ZS
# GC.TAX.EXPT.CN
# IC.TAX.TOTL.CP.ZS## Sample parameters selection to achieve project objective.
nepal_df <- select(nepal_df, 'YEAR', 'GC.TAX.GSRV.VA.ZS', 'GC.TAX.GSRV.CN', 'GC.TAX.TOTL.GD.ZS', 'IC.TAX.LABR.CP.ZS', 'GC.TAX.YPKG.CN', 'GC.TAX.IMPT.ZS', 'GC.TAX.IMPT.CN', 'GC.TAX.EXPT.ZS', 'GC.TAX.EXPT.CN', 'IC.TAX.TOTL.CP.ZS', 'NY.GDP.MKTP.KD', 'NY.GDP.MKTP.KD.ZG', 'SL.IND.EMPL.ZS', 'SL.IND.EMPL.FE.ZS', 'SL.IND.EMPL.MA.ZS', 'SL.AGR.EMPL.ZS', 'SL.AGR.EMPL.FE.ZS', 'SL.AGR.EMPL.MA.ZS')
nepal_df## YEAR GC.TAX.GSRV.VA.ZS GC.TAX.GSRV.CN GC.TAX.TOTL.GD.ZS IC.TAX.LABR.CP.ZS
## X1960 1960 0.000000 0 0.000000 0.0
## X1961 1961 0.000000 0 0.000000 0.0
## X1962 1962 0.000000 0 0.000000 0.0
## X1963 1963 0.000000 0 0.000000 0.0
## X1964 1964 0.000000 0 0.000000 0.0
## X1965 1965 0.000000 0 0.000000 0.0
## X1966 1966 0.000000 0 0.000000 0.0
## X1967 1967 0.000000 0 0.000000 0.0
## X1968 1968 0.000000 0 0.000000 0.0
## X1969 1969 0.000000 0 0.000000 0.0
## X1970 1970 0.000000 0 0.000000 0.0
## X1971 1971 0.000000 0 0.000000 0.0
## X1972 1972 0.000000 0 0.000000 0.0
## X1973 1973 0.000000 0 0.000000 0.0
## X1974 1974 0.000000 0 0.000000 0.0
## X1975 1975 0.000000 0 0.000000 0.0
## X1976 1976 0.000000 0 0.000000 0.0
## X1977 1977 0.000000 0 0.000000 0.0
## X1978 1978 0.000000 0 0.000000 0.0
## X1979 1979 0.000000 0 0.000000 0.0
## X1980 1980 0.000000 0 0.000000 0.0
## X1981 1981 0.000000 0 0.000000 0.0
## X1982 1982 0.000000 0 0.000000 0.0
## X1983 1983 0.000000 0 0.000000 0.0
## X1984 1984 0.000000 0 0.000000 0.0
## X1985 1985 0.000000 0 0.000000 0.0
## X1986 1986 0.000000 0 0.000000 0.0
## X1987 1987 0.000000 0 0.000000 0.0
## X1988 1988 0.000000 0 0.000000 0.0
## X1989 1989 0.000000 0 0.000000 0.0
## X1990 1990 7.375947 3487200000 6.996693 0.0
## X1991 1991 6.911035 4278000000 6.620302 0.0
## X1992 1992 6.968780 5580000000 6.483344 0.0
## X1993 1993 6.764000 6486000000 6.654637 0.0
## X1994 1994 7.647324 8147000000 7.729134 0.0
## X1995 1995 8.258410 9856000000 8.985514 0.0
## X1996 1996 8.016257 10947000000 8.719914 0.0
## X1997 1997 7.763240 11938000000 8.723660 0.0
## X1998 1998 7.365103 12477000000 8.639333 0.0
## X1999 1999 6.904100 12994000000 8.422505 0.0
## X2000 2000 7.031443 14795000000 8.735981 0.0
## X2001 2001 6.371072 17191000000 8.802575 0.0
## X2002 2002 6.391161 17765000000 8.560583 0.0
## X2003 2003 6.722883 20218600000 8.651812 0.0
## X2004 2004 6.961714 23103700000 8.974958 0.0
## X2005 2005 7.607888 27937000000 9.179453 11.3
## X2006 2006 7.440960 31149795000 8.779758 11.3
## X2007 2007 8.221877 38687300000 9.772473 11.3
## X2008 2008 8.457498 45015200000 10.440086 11.3
## X2009 2009 10.009752 62995100000 11.844037 11.3
## X2010 2010 12.407214 89681363000 13.396115 11.3
## X2011 2011 10.487461 100000000000 11.624676 11.3
## X2012 2012 10.473829 114000000000 12.040805 11.3
## X2013 2013 11.039213 135000000000 13.297886 11.3
## X2014 2014 11.662401 164000000000 13.994910 11.3
## X2015 2015 12.269070 189000000000 14.686305 11.3
## X2016 2016 13.050688 219000000000 16.143750 11.3
## X2017 2017 13.989350 279000000000 17.999362 11.3
## X2018 2018 16.406759 367000000000 19.082826 19.9
## X2019 2019 16.909200 424000000000 19.809060 26.2
## X2020 2020 10.512350 270000000000 15.773650 0.0
## X2021 2021 0.000000 0 0.000000 0.0
## GC.TAX.YPKG.CN GC.TAX.IMPT.ZS GC.TAX.IMPT.CN GC.TAX.EXPT.ZS
## X1960 0 0.00000 0 0.00000000
## X1961 0 0.00000 0 0.00000000
## X1962 0 0.00000 0 0.00000000
## X1963 0 0.00000 0 0.00000000
## X1964 0 0.00000 0 0.00000000
## X1965 0 0.00000 0 0.00000000
## X1966 0 0.00000 0 0.00000000
## X1967 0 0.00000 0 0.00000000
## X1968 0 0.00000 0 0.00000000
## X1969 0 0.00000 0 0.00000000
## X1970 0 0.00000 0 0.00000000
## X1971 0 0.00000 0 0.00000000
## X1972 0 0.00000 0 0.00000000
## X1973 0 0.00000 0 0.00000000
## X1974 0 0.00000 0 0.00000000
## X1975 0 0.00000 0 0.00000000
## X1976 0 0.00000 0 0.00000000
## X1977 0 0.00000 0 0.00000000
## X1978 0 0.00000 0 0.00000000
## X1979 0 0.00000 0 0.00000000
## X1980 0 0.00000 0 0.00000000
## X1981 0 0.00000 0 0.00000000
## X1982 0 0.00000 0 0.00000000
## X1983 0 0.00000 0 0.00000000
## X1984 0 0.00000 0 0.00000000
## X1985 0 0.00000 0 0.00000000
## X1986 0 0.00000 0 0.00000000
## X1987 0 0.00000 0 0.00000000
## X1988 0 0.00000 0 0.00000000
## X1989 0 0.00000 0 0.00000000
## X1990 943000000 36.96671 2674800000 0.44501569
## X1991 768000000 36.18838 2966000000 0.95168375
## X1992 875000000 32.76437 3244000000 1.16149884
## X1993 1174000000 32.53785 3804000000 1.20605594
## X1994 1931000000 31.34658 4828000000 2.77236722
## X1995 2751000000 33.94943 6686000000 1.68579263
## X1996 3326000000 33.06611 7177000000 0.69108500
## X1997 3954000000 33.16987 8117000000 0.68652691
## X1998 4576000000 31.84179 8276000000 0.83490439
## X1999 5774000000 31.67870 9126000000 1.31213552
## X2000 6969000000 31.19269 10341000000 1.30308880
## X2001 8517000000 30.94043 12025000000 1.26849350
## X2002 8068000000 29.78058 11713000000 2.33149424
## X2003 6879300000 31.38054 13364000000 2.00906852
## X2004 8123300000 31.04312 14954400000 1.09418139
## X2005 8790400000 27.51752 14888300000 1.28990404
## X2006 9162391000 25.41960 14597713000 1.08883287
## X2007 13723900000 22.39483 15928700000 0.98219093
## X2008 16626800000 24.09184 20515500000 0.52327862
## X2009 24051800000 22.01163 25764900000 0.67816419
## X2010 33821327000 20.99344 33544450000 0.57293163
## X2011 43121246000 19.39029 35145784000 0.16131729
## X2012 51303230000 19.32051 40905969000 0.40693453
## X2013 64186691000 20.95862 54327890000 0.16939490
## X2014 75608249000 20.52298 64121990000 0.34242744
## X2015 86168029438 19.81471 70529058946 0.08845511
## X2016 114000000000 18.47786 77802641716 0.03789371
## X2017 145000000000 17.76788 98410300000 0.02259209
## X2018 155000000000 18.44066 122000000000 0.01552102
## X2019 188000000000 17.92326 137000000000 0.03108693
## X2020 213000000000 19.16977 118000000000 0.01831949
## X2021 0 0.00000 0 0.00000000
## GC.TAX.EXPT.CN IC.TAX.TOTL.CP.ZS NY.GDP.MKTP.KD NY.GDP.MKTP.KD.ZG
## X1960 0 0.0 3312006963 0.0000000
## X1961 0 0.0 3375208865 1.9082660
## X1962 0 0.0 3439686156 1.9103200
## X1963 0 0.0 3504872049 1.8951116
## X1964 0 0.0 3768874732 7.5324486
## X1965 0 0.0 3723528046 -1.2031890
## X1966 0 0.0 3985688368 7.0406431
## X1967 0 0.0 3923053375 -1.5714975
## X1968 0 0.0 3949552951 0.6754835
## X1969 0 0.0 4125838151 4.4634216
## X1970 0 0.0 4232119417 2.5759921
## X1971 0 0.0 4181529368 -1.1953833
## X1972 0 0.0 4311901106 3.1178004
## X1973 0 0.0 4291353333 -0.4765363
## X1974 0 0.0 4563150075 6.3335904
## X1975 0 0.0 4629611019 1.4564707
## X1976 0 0.0 4833246135 4.3985362
## X1977 0 0.0 4979063887 3.0169734
## X1978 0 0.0 5198428566 4.4057414
## X1979 0 0.0 5321572986 2.3688778
## X1980 0 0.0 5198144730 -2.3193942
## X1981 0 0.0 5631772619 8.3419741
## X1982 0 0.0 5844618406 3.7793747
## X1983 0 0.0 5670600395 -2.9774059
## X1984 0 0.0 6219578592 9.6811300
## X1985 0 0.0 6601765803 6.1449052
## X1986 0 0.0 6903179359 4.5656505
## X1987 0 0.0 7020230929 1.6956183
## X1988 0 0.0 7560564675 7.6968087
## X1989 0 0.0 7887910507 4.3296479
## X1990 32200000 0.0 8253518026 4.6350363
## X1991 78000000 0.0 8779114468 6.3681504
## X1992 115000000 0.0 9139620604 4.1064066
## X1993 141000000 0.0 9491482290 3.8498500
## X1994 427000000 0.0 10271302732 8.2160027
## X1995 332000000 0.0 10627557926 3.4684519
## X1996 150000000 0.0 11193824413 5.3282842
## X1997 168000000 0.0 11758957236 5.0486125
## X1998 217000000 0.0 12113653185 3.0163895
## X1999 378000000 0.0 12648177008 4.4125733
## X2000 432000000 0.0 13432363981 6.2000000
## X2001 493000000 0.0 14077102964 4.7998921
## X2002 917000000 0.0 14094015643 0.1201432
## X2003 855600000 0.0 14650029882 3.9450378
## X2004 527100000 0.0 15336032658 4.6826032
## X2005 697900000 32.5 15869600999 3.4791810
## X2006 625284000 32.5 16403551941 3.3646148
## X2007 698600000 32.8 16963169002 3.4115603
## X2008 445600000 34.1 17998709258 6.1046391
## X2009 793800000 32.5 18814604917 4.5330787
## X2010 915461000 31.7 19720794305 4.8164147
## X2011 292395000 31.5 20395606013 3.4218282
## X2012 861574000 31.5 21348105727 4.6701221
## X2013 439097000 29.9 22100659154 3.5251532
## X2014 1069880000 29.9 23429236486 6.0114828
## X2015 314849716 29.9 24360795411 3.9760533
## X2016 159554771 29.9 24466305357 0.4331137
## X2017 125130000 30.0 26662713937 8.9772794
## X2018 102360000 37.0 28695046274 7.6223761
## X2019 237634000 41.8 30605291409 6.6570554
## X2020 112370000 0.0 29880062111 -2.3696206
## X2021 0 0.0 31149050463 4.2469401
## SL.IND.EMPL.ZS SL.IND.EMPL.FE.ZS SL.IND.EMPL.MA.ZS SL.AGR.EMPL.ZS
## X1960 0.00 0.00 0.00 0.00
## X1961 0.00 0.00 0.00 0.00
## X1962 0.00 0.00 0.00 0.00
## X1963 0.00 0.00 0.00 0.00
## X1964 0.00 0.00 0.00 0.00
## X1965 0.00 0.00 0.00 0.00
## X1966 0.00 0.00 0.00 0.00
## X1967 0.00 0.00 0.00 0.00
## X1968 0.00 0.00 0.00 0.00
## X1969 0.00 0.00 0.00 0.00
## X1970 0.00 0.00 0.00 0.00
## X1971 0.00 0.00 0.00 0.00
## X1972 0.00 0.00 0.00 0.00
## X1973 0.00 0.00 0.00 0.00
## X1974 0.00 0.00 0.00 0.00
## X1975 0.00 0.00 0.00 0.00
## X1976 0.00 0.00 0.00 0.00
## X1977 0.00 0.00 0.00 0.00
## X1978 0.00 0.00 0.00 0.00
## X1979 0.00 0.00 0.00 0.00
## X1980 0.00 0.00 0.00 0.00
## X1981 0.00 0.00 0.00 0.00
## X1982 0.00 0.00 0.00 0.00
## X1983 0.00 0.00 0.00 0.00
## X1984 0.00 0.00 0.00 0.00
## X1985 0.00 0.00 0.00 0.00
## X1986 0.00 0.00 0.00 0.00
## X1987 0.00 0.00 0.00 0.00
## X1988 0.00 0.00 0.00 0.00
## X1989 0.00 0.00 0.00 0.00
## X1990 0.00 0.00 0.00 0.00
## X1991 2.76 1.44 3.99 82.33
## X1992 3.21 1.65 4.66 82.10
## X1993 3.74 1.90 5.42 81.75
## X1994 4.45 2.25 6.44 81.15
## X1995 5.20 2.62 7.52 80.52
## X1996 6.12 3.09 8.85 79.68
## X1997 7.20 3.65 10.44 78.66
## X1998 8.38 4.27 12.19 77.52
## X1999 9.84 5.04 14.34 76.11
## X2000 10.52 5.47 15.30 75.25
## X2001 10.98 5.75 15.95 74.59
## X2002 11.21 5.95 16.21 74.19
## X2003 11.54 6.14 16.66 73.61
## X2004 11.80 6.30 17.03 73.08
## X2005 11.97 6.41 17.28 72.64
## X2006 12.12 6.46 17.51 72.21
## X2007 12.25 6.52 17.70 71.78
## X2008 12.57 6.69 18.17 71.13
## X2009 12.74 6.85 18.44 70.61
## X2010 12.99 7.07 18.82 70.04
## X2011 13.16 7.27 19.19 69.54
## X2012 13.41 7.48 19.80 68.86
## X2013 13.65 7.68 20.45 68.24
## X2014 13.98 7.94 21.21 67.48
## X2015 14.14 8.12 21.67 66.93
## X2016 14.05 8.12 21.59 66.66
## X2017 14.48 8.33 22.34 65.81
## X2018 14.81 8.50 22.88 65.08
## X2019 15.11 8.62 23.31 64.38
## X2020 0.00 0.00 0.00 0.00
## X2021 0.00 0.00 0.00 0.00
## SL.AGR.EMPL.FE.ZS SL.AGR.EMPL.MA.ZS
## X1960 0.00 0.00
## X1961 0.00 0.00
## X1962 0.00 0.00
## X1963 0.00 0.00
## X1964 0.00 0.00
## X1965 0.00 0.00
## X1966 0.00 0.00
## X1967 0.00 0.00
## X1968 0.00 0.00
## X1969 0.00 0.00
## X1970 0.00 0.00
## X1971 0.00 0.00
## X1972 0.00 0.00
## X1973 0.00 0.00
## X1974 0.00 0.00
## X1975 0.00 0.00
## X1976 0.00 0.00
## X1977 0.00 0.00
## X1978 0.00 0.00
## X1979 0.00 0.00
## X1980 0.00 0.00
## X1981 0.00 0.00
## X1982 0.00 0.00
## X1983 0.00 0.00
## X1984 0.00 0.00
## X1985 0.00 0.00
## X1986 0.00 0.00
## X1987 0.00 0.00
## X1988 0.00 0.00
## X1989 0.00 0.00
## X1990 0.00 0.00
## X1991 90.39 74.79
## X1992 90.12 74.68
## X1993 89.80 74.40
## X1994 89.25 73.83
## X1995 88.72 73.14
## X1996 88.02 72.14
## X1997 87.20 70.86
## X1998 86.38 69.33
## X1999 85.38 67.43
## X2000 84.63 66.37
## X2001 84.10 65.56
## X2002 83.65 65.20
## X2003 83.19 64.52
## X2004 82.73 63.90
## X2005 82.35 63.38
## X2006 82.03 62.85
## X2007 81.68 62.36
## X2008 81.15 61.57
## X2009 80.54 61.01
## X2010 79.83 60.40
## X2011 79.12 59.71
## X2012 78.44 58.55
## X2013 77.76 57.40
## X2014 76.95 56.13
## X2015 76.29 55.21
## X2016 75.89 54.93
## X2017 75.22 53.79
## X2018 74.62 52.89
## X2019 74.08 52.11
## X2020 0.00 0.00
## X2021 0.00 0.00Data Quality: Checking the data
## Checking quality of data in parameters selected.
#View(truncate(summary(nepal_df)))
#df_t <- summary(nepal_df)
#View(t(df_t))
summary(nepal_df)## YEAR GC.TAX.GSRV.VA.ZS GC.TAX.GSRV.CN GC.TAX.TOTL.GD.ZS
## Min. :1960 Min. : 0.000 Min. : 0 Min. : 0.000
## 1st Qu.:1975 1st Qu.: 0.000 1st Qu.: 0 1st Qu.: 0.000
## Median :1990 Median : 3.186 Median : 1743600000 Median : 3.242
## Mean :1990 Mean : 4.652 Mean : 44124665452 Mean : 5.477
## 3rd Qu.:2006 3rd Qu.: 7.953 3rd Qu.: 26728675000 3rd Qu.: 8.983
## Max. :2021 Max. :16.909 Max. :424000000000 Max. :19.809
## IC.TAX.LABR.CP.ZS GC.TAX.YPKG.CN GC.TAX.IMPT.ZS
## Min. : 0.000 Min. : 0 Min. : 0.000
## 1st Qu.: 0.000 1st Qu.: 0 1st Qu.: 0.000
## Median : 0.000 Median : 384000000 Median : 8.884
## Mean : 3.113 Mean : 21067623604 Mean :13.259
## 3rd Qu.: 0.000 3rd Qu.: 8722050000 3rd Qu.:26.993
## Max. :26.200 Max. :213000000000 Max. :36.967
## GC.TAX.IMPT.CN GC.TAX.EXPT.ZS GC.TAX.EXPT.CN
## Min. : 0 Min. :0.000000 Min. : 0
## 1st Qu.: 0 1st Qu.:0.000000 1st Qu.: 0
## Median : 1337400000 Median :0.007761 Median : 16100000
## Mean : 17141603172 Mean :0.422301 Mean : 212167572
## 3rd Qu.: 14815653250 3rd Qu.:0.689945 3rd Qu.: 366500000
## Max. :137000000000 Max. :2.772367 Max. :1069880000
## IC.TAX.TOTL.CP.ZS NY.GDP.MKTP.KD NY.GDP.MKTP.KD.ZG SL.IND.EMPL.ZS
## Min. : 0.000 Min. : 3312006963 Min. :-2.977 Min. : 0.000
## 1st Qu.: 0.000 1st Qu.: 4680519798 1st Qu.: 2.025 1st Qu.: 0.000
## Median : 0.000 Median : 8516316247 Median : 4.041 Median : 0.000
## Mean : 7.863 Mean :11498688828 Mean : 3.720 Mean : 4.974
## 3rd Qu.: 0.000 3rd Qu.:16270064206 3rd Qu.: 5.258 3rd Qu.:11.735
## Max. :41.800 Max. :31149050463 Max. : 9.681 Max. :15.110
## SL.IND.EMPL.FE.ZS SL.IND.EMPL.MA.ZS SL.AGR.EMPL.ZS SL.AGR.EMPL.FE.ZS
## Min. :0.000 Min. : 0.000 Min. : 0.00 Min. : 0.00
## 1st Qu.:0.000 1st Qu.: 0.000 1st Qu.: 0.00 1st Qu.: 0.00
## Median :0.000 Median : 0.000 Median : 0.00 Median : 0.00
## Mean :2.703 Mean : 7.345 Mean :34.22 Mean :38.54
## 3rd Qu.:6.260 3rd Qu.:16.938 3rd Qu.:72.10 3rd Qu.:81.94
## Max. :8.620 Max. :23.310 Max. :82.33 Max. :90.39
## SL.AGR.EMPL.MA.ZS
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 0.00
## Mean :29.81
## 3rd Qu.:62.73
## Max. :74.79View(stat.desc(nepal_df))Looking for Normal Distribution:
# Plotting histogram for GDP growth (annual %)
hist(nepal_df$NY.GDP.MKTP.KD.ZG , main = "Histogram for GDP growth in Nepal" )
# Plotting histogram for GDP (constant 2015 US$)
hist(nepal_df$NY.GDP.MKTP.KD , main = "Histogram for GDP (constant 2015 US$) in Nepal" )
# Plotting histogram for Employment in agriculture, male (% of male employment) (modeled ILO estimate)
hist(nepal_df$SL.AGR.EMPL.MA.ZS, main = "Histogram for Employment in agriculture, male in Nepal" )
- These plots were made for every columns (parameters chosen) for analysis.
- Normal distribution found not appropriate for this data. For this, it needs to have a lot of observations and frequency. Thus the histogram will not have many bins to show the distribution of data, making it not so informative.
Correlation Analysis: Exploring relationship between employment, tax and GDP. Understanding what drives economic activity.
# Finding correlation between each columns in the dataframe
# cor(nepal_df$TM.TAX.MRCH.WM.AR.ZS, nepal_df$NY.GDP.PETR.RT.ZS)
# cor(nepal_df$GC.TAX.TOTL.GD.ZS, nepal_df$SL.IND.EMPL.FE.ZS)
View(cor(nepal_df))# Correlation matrix plot
corrplot(cor(nepal_df), type="lower", method ="number")
var(nepal_df$GC.TAX.GSRV.VA.ZS)## [1] 26.21113# SL.IND.EMPL.ZS NY.GDP.MKTP.KDTime series analysis: Trends/patterns in the data over time
# autoregressive integrated moving average (ARIMA) - need to look at it
# GDP = Consumption + Investment + Government spending + Net exports
p <- ggplot(nepal_df, aes(x=nepal_df$YEAR, y=nepal_df$GC.TAX.GSRV.VA.ZS)) +
geom_line( color="steelblue") +
geom_point() +
xlab("YEAR") +
ylab("Taxes on goods and services(%)") +
ggtitle("Percent increase on tax on goods & services each year")
#scale_x_date(limit=c(as.Date("1960-01-01"),as.Date("2022-12-30"))) +
p
1. The percent increase in tax on goods and services have remained around 5.5% from year 1990 to 2005. 2. The percent increase in tax on goods and services has been increasing after the year 2005.
# Check tax and gdp over time
coeff <- 10
tax_color <- "black"
gdp_color <- "steelblue"
ggplot(nepal_df, aes(x=nepal_df$YEAR)) +
geom_line( aes(y=nepal_df$GC.TAX.GSRV.CN), size=0.5, color=tax_color) +
geom_line( aes(y=nepal_df$NY.GDP.MKTP.KD), size=0.5, color=gdp_color) +
geom_point(aes(y = nepal_df$GC.TAX.GSRV.CN), size=2, color=tax_color) +
geom_point(aes(y = nepal_df$NY.GDP.MKTP.KD), size=2, color=gdp_color) +
scale_y_continuous(
# First axis
name = "Taxes on goods and services (current LCU)",
# Second axis
sec.axis = sec_axis(~.*1, name="GDP (constant 2015 US$)")
) +
# theme_ipsum() +
scale_x_continuous(
name = "YEAR"
) +
theme(
axis.title.y = element_text(color = tax_color, size=13),
axis.title.y.right = element_text(color = gdp_color, size=13)
) +
ggtitle("Tax and GDP over time") +
theme(plot.title = element_text(hjust = 0.5)) #Title to be at center## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
1. As the tax on goods and services have increased after the year 2005, the GDP has remained same. 2. Though the correlation between the indicator (GC.TAX.GSRV.CN & NY.GDP.MKTP.KD) is 0.80, the tax has no impact on the GDP growth over the years by looking at the trend curve.
# Check employment in industry and agriculture over the years.
coeff <- 10
ind_color <- "black"
agr_color <- "steelblue"
ggplot(nepal_df, aes(x=nepal_df$YEAR)) +
geom_line( aes(y=nepal_df$SL.IND.EMPL.ZS), size=0.5, color=ind_color) +
geom_line( aes(y=nepal_df$SL.AGR.EMPL.ZS), size=0.5, color=agr_color) +
geom_point(aes(y = nepal_df$SL.IND.EMPL.ZS), size=2, color=ind_color) +
geom_point(aes(y = nepal_df$SL.AGR.EMPL.ZS), size=2, color=agr_color) +
scale_y_continuous(
# First axis
name = "Employment in industry (% of total employment)",
# Second axis
sec.axis = sec_axis(~.*1, name="Employment in agriculture (% of total employment)")
) +
# theme_ipsum() +
scale_x_continuous(
name = "YEAR"
) +
theme(
axis.title.y = element_text(color = ind_color, size=13),
axis.title.y.right = element_text(color = agr_color, size=13)
) +
ggtitle("Employment in industry & agriculture over time") +
theme(plot.title = element_text(hjust = 0.5)) #Title to be at center
- After the year 1990, employment in the industrial sector has been increasing each year by 0.54%.
- After the year 1990, employment in the agriculture sector has been decreasing each year by 82.33.
# Plot for employment in industry and agriculture, females over time
coeff <- 10
ind_color <- "black"
agr_color <- "steelblue"
ggplot(nepal_df, aes(x=nepal_df$YEAR)) +
geom_line( aes(y=nepal_df$SL.IND.EMPL.FE.ZS), size=0.5, color=ind_color) +
geom_line( aes(y=nepal_df$SL.AGR.EMPL.FE.ZS), size=0.5, color=agr_color) +
geom_point(aes(y = nepal_df$SL.IND.EMPL.FE.ZS), size=2, color=ind_color) +
geom_point(aes(y = nepal_df$SL.AGR.EMPL.FE.ZS), size=2, color=agr_color) +
scale_y_continuous(
# First axis
name = "Employment in industry, female (% of female employment)",
# Second axis
sec.axis = sec_axis(~.*1, name="Employment in agriculture, female (% of female employment)")
) +
# theme_ipsum() +
scale_x_continuous(
name = "YEAR"
) +
theme(
axis.title.y = element_text(color = ind_color, size=13),
axis.title.y.right = element_text(color = agr_color, size=13)
) +
ggtitle("Employment in industry & agriculture, females over time") +
theme(plot.title = element_text(hjust = 0.5)) #Title to be at center
1. Percentage in female employment in industry has been increasing by 0.30%. 2. Percentage in female employment in agriculture has been decreasing by 3.11%.
# Plot for employment in industry and agriculture, males over time
coeff <- 10
ind_color <- "black"
agr_color <- "steelblue"
ggplot(nepal_df, aes(x=nepal_df$YEAR)) +
geom_line( aes(y=nepal_df$SL.IND.EMPL.MA.ZS), size=0.5, color=ind_color) +
geom_line( aes(y=nepal_df$SL.AGR.EMPL.MA.ZS), size=0.5, color=agr_color) +
geom_point(aes(y = nepal_df$SL.IND.EMPL.MA.ZS), size=2, color=ind_color) +
geom_point(aes(y = nepal_df$SL.AGR.EMPL.MA.ZS), size=2, color=agr_color) +
scale_y_continuous(
# First axis
name = "Employment in industry, male (% of male employment)",
# Second axis
sec.axis = sec_axis(~.*1, name="Employment in agriculture, male (% of male employment)")
) +
# theme_ipsum() +
scale_x_continuous(
name = "YEAR"
) +
theme(
axis.title.y = element_text(color = ind_color, size=13),
axis.title.y.right = element_text(color = agr_color, size=13)
) +
ggtitle("Employment in industry & agriculture, males over time") +
theme(plot.title = element_text(hjust = 0.5)) #Title to be at center
1. Percentage in male employment in industry has been increasing by 0.83%. 2. Percentage in male employment in agriculture has been decreasing by 2.57%.
# Checking average increase/decrease in rate of employment
test <- nepal_df %>% mutate(col_diff = SL.AGR.EMPL.MA.ZS - lag(SL.AGR.EMPL.MA.ZS))
test[is.na(test)] <- 0
transform(test, col_diff = as.numeric(col_diff))## YEAR GC.TAX.GSRV.VA.ZS GC.TAX.GSRV.CN GC.TAX.TOTL.GD.ZS IC.TAX.LABR.CP.ZS
## X1960 1960 0.000000 0 0.000000 0.0
## X1961 1961 0.000000 0 0.000000 0.0
## X1962 1962 0.000000 0 0.000000 0.0
## X1963 1963 0.000000 0 0.000000 0.0
## X1964 1964 0.000000 0 0.000000 0.0
## X1965 1965 0.000000 0 0.000000 0.0
## X1966 1966 0.000000 0 0.000000 0.0
## X1967 1967 0.000000 0 0.000000 0.0
## X1968 1968 0.000000 0 0.000000 0.0
## X1969 1969 0.000000 0 0.000000 0.0
## X1970 1970 0.000000 0 0.000000 0.0
## X1971 1971 0.000000 0 0.000000 0.0
## X1972 1972 0.000000 0 0.000000 0.0
## X1973 1973 0.000000 0 0.000000 0.0
## X1974 1974 0.000000 0 0.000000 0.0
## X1975 1975 0.000000 0 0.000000 0.0
## X1976 1976 0.000000 0 0.000000 0.0
## X1977 1977 0.000000 0 0.000000 0.0
## X1978 1978 0.000000 0 0.000000 0.0
## X1979 1979 0.000000 0 0.000000 0.0
## X1980 1980 0.000000 0 0.000000 0.0
## X1981 1981 0.000000 0 0.000000 0.0
## X1982 1982 0.000000 0 0.000000 0.0
## X1983 1983 0.000000 0 0.000000 0.0
## X1984 1984 0.000000 0 0.000000 0.0
## X1985 1985 0.000000 0 0.000000 0.0
## X1986 1986 0.000000 0 0.000000 0.0
## X1987 1987 0.000000 0 0.000000 0.0
## X1988 1988 0.000000 0 0.000000 0.0
## X1989 1989 0.000000 0 0.000000 0.0
## X1990 1990 7.375947 3487200000 6.996693 0.0
## X1991 1991 6.911035 4278000000 6.620302 0.0
## X1992 1992 6.968780 5580000000 6.483344 0.0
## X1993 1993 6.764000 6486000000 6.654637 0.0
## X1994 1994 7.647324 8147000000 7.729134 0.0
## X1995 1995 8.258410 9856000000 8.985514 0.0
## X1996 1996 8.016257 10947000000 8.719914 0.0
## X1997 1997 7.763240 11938000000 8.723660 0.0
## X1998 1998 7.365103 12477000000 8.639333 0.0
## X1999 1999 6.904100 12994000000 8.422505 0.0
## X2000 2000 7.031443 14795000000 8.735981 0.0
## X2001 2001 6.371072 17191000000 8.802575 0.0
## X2002 2002 6.391161 17765000000 8.560583 0.0
## X2003 2003 6.722883 20218600000 8.651812 0.0
## X2004 2004 6.961714 23103700000 8.974958 0.0
## X2005 2005 7.607888 27937000000 9.179453 11.3
## X2006 2006 7.440960 31149795000 8.779758 11.3
## X2007 2007 8.221877 38687300000 9.772473 11.3
## X2008 2008 8.457498 45015200000 10.440086 11.3
## X2009 2009 10.009752 62995100000 11.844037 11.3
## X2010 2010 12.407214 89681363000 13.396115 11.3
## X2011 2011 10.487461 100000000000 11.624676 11.3
## X2012 2012 10.473829 114000000000 12.040805 11.3
## X2013 2013 11.039213 135000000000 13.297886 11.3
## X2014 2014 11.662401 164000000000 13.994910 11.3
## X2015 2015 12.269070 189000000000 14.686305 11.3
## X2016 2016 13.050688 219000000000 16.143750 11.3
## X2017 2017 13.989350 279000000000 17.999362 11.3
## X2018 2018 16.406759 367000000000 19.082826 19.9
## X2019 2019 16.909200 424000000000 19.809060 26.2
## X2020 2020 10.512350 270000000000 15.773650 0.0
## X2021 2021 0.000000 0 0.000000 0.0
## GC.TAX.YPKG.CN GC.TAX.IMPT.ZS GC.TAX.IMPT.CN GC.TAX.EXPT.ZS
## X1960 0 0.00000 0 0.00000000
## X1961 0 0.00000 0 0.00000000
## X1962 0 0.00000 0 0.00000000
## X1963 0 0.00000 0 0.00000000
## X1964 0 0.00000 0 0.00000000
## X1965 0 0.00000 0 0.00000000
## X1966 0 0.00000 0 0.00000000
## X1967 0 0.00000 0 0.00000000
## X1968 0 0.00000 0 0.00000000
## X1969 0 0.00000 0 0.00000000
## X1970 0 0.00000 0 0.00000000
## X1971 0 0.00000 0 0.00000000
## X1972 0 0.00000 0 0.00000000
## X1973 0 0.00000 0 0.00000000
## X1974 0 0.00000 0 0.00000000
## X1975 0 0.00000 0 0.00000000
## X1976 0 0.00000 0 0.00000000
## X1977 0 0.00000 0 0.00000000
## X1978 0 0.00000 0 0.00000000
## X1979 0 0.00000 0 0.00000000
## X1980 0 0.00000 0 0.00000000
## X1981 0 0.00000 0 0.00000000
## X1982 0 0.00000 0 0.00000000
## X1983 0 0.00000 0 0.00000000
## X1984 0 0.00000 0 0.00000000
## X1985 0 0.00000 0 0.00000000
## X1986 0 0.00000 0 0.00000000
## X1987 0 0.00000 0 0.00000000
## X1988 0 0.00000 0 0.00000000
## X1989 0 0.00000 0 0.00000000
## X1990 943000000 36.96671 2674800000 0.44501569
## X1991 768000000 36.18838 2966000000 0.95168375
## X1992 875000000 32.76437 3244000000 1.16149884
## X1993 1174000000 32.53785 3804000000 1.20605594
## X1994 1931000000 31.34658 4828000000 2.77236722
## X1995 2751000000 33.94943 6686000000 1.68579263
## X1996 3326000000 33.06611 7177000000 0.69108500
## X1997 3954000000 33.16987 8117000000 0.68652691
## X1998 4576000000 31.84179 8276000000 0.83490439
## X1999 5774000000 31.67870 9126000000 1.31213552
## X2000 6969000000 31.19269 10341000000 1.30308880
## X2001 8517000000 30.94043 12025000000 1.26849350
## X2002 8068000000 29.78058 11713000000 2.33149424
## X2003 6879300000 31.38054 13364000000 2.00906852
## X2004 8123300000 31.04312 14954400000 1.09418139
## X2005 8790400000 27.51752 14888300000 1.28990404
## X2006 9162391000 25.41960 14597713000 1.08883287
## X2007 13723900000 22.39483 15928700000 0.98219093
## X2008 16626800000 24.09184 20515500000 0.52327862
## X2009 24051800000 22.01163 25764900000 0.67816419
## X2010 33821327000 20.99344 33544450000 0.57293163
## X2011 43121246000 19.39029 35145784000 0.16131729
## X2012 51303230000 19.32051 40905969000 0.40693453
## X2013 64186691000 20.95862 54327890000 0.16939490
## X2014 75608249000 20.52298 64121990000 0.34242744
## X2015 86168029438 19.81471 70529058946 0.08845511
## X2016 114000000000 18.47786 77802641716 0.03789371
## X2017 145000000000 17.76788 98410300000 0.02259209
## X2018 155000000000 18.44066 122000000000 0.01552102
## X2019 188000000000 17.92326 137000000000 0.03108693
## X2020 213000000000 19.16977 118000000000 0.01831949
## X2021 0 0.00000 0 0.00000000
## GC.TAX.EXPT.CN IC.TAX.TOTL.CP.ZS NY.GDP.MKTP.KD NY.GDP.MKTP.KD.ZG
## X1960 0 0.0 3312006963 0.0000000
## X1961 0 0.0 3375208865 1.9082660
## X1962 0 0.0 3439686156 1.9103200
## X1963 0 0.0 3504872049 1.8951116
## X1964 0 0.0 3768874732 7.5324486
## X1965 0 0.0 3723528046 -1.2031890
## X1966 0 0.0 3985688368 7.0406431
## X1967 0 0.0 3923053375 -1.5714975
## X1968 0 0.0 3949552951 0.6754835
## X1969 0 0.0 4125838151 4.4634216
## X1970 0 0.0 4232119417 2.5759921
## X1971 0 0.0 4181529368 -1.1953833
## X1972 0 0.0 4311901106 3.1178004
## X1973 0 0.0 4291353333 -0.4765363
## X1974 0 0.0 4563150075 6.3335904
## X1975 0 0.0 4629611019 1.4564707
## X1976 0 0.0 4833246135 4.3985362
## X1977 0 0.0 4979063887 3.0169734
## X1978 0 0.0 5198428566 4.4057414
## X1979 0 0.0 5321572986 2.3688778
## X1980 0 0.0 5198144730 -2.3193942
## X1981 0 0.0 5631772619 8.3419741
## X1982 0 0.0 5844618406 3.7793747
## X1983 0 0.0 5670600395 -2.9774059
## X1984 0 0.0 6219578592 9.6811300
## X1985 0 0.0 6601765803 6.1449052
## X1986 0 0.0 6903179359 4.5656505
## X1987 0 0.0 7020230929 1.6956183
## X1988 0 0.0 7560564675 7.6968087
## X1989 0 0.0 7887910507 4.3296479
## X1990 32200000 0.0 8253518026 4.6350363
## X1991 78000000 0.0 8779114468 6.3681504
## X1992 115000000 0.0 9139620604 4.1064066
## X1993 141000000 0.0 9491482290 3.8498500
## X1994 427000000 0.0 10271302732 8.2160027
## X1995 332000000 0.0 10627557926 3.4684519
## X1996 150000000 0.0 11193824413 5.3282842
## X1997 168000000 0.0 11758957236 5.0486125
## X1998 217000000 0.0 12113653185 3.0163895
## X1999 378000000 0.0 12648177008 4.4125733
## X2000 432000000 0.0 13432363981 6.2000000
## X2001 493000000 0.0 14077102964 4.7998921
## X2002 917000000 0.0 14094015643 0.1201432
## X2003 855600000 0.0 14650029882 3.9450378
## X2004 527100000 0.0 15336032658 4.6826032
## X2005 697900000 32.5 15869600999 3.4791810
## X2006 625284000 32.5 16403551941 3.3646148
## X2007 698600000 32.8 16963169002 3.4115603
## X2008 445600000 34.1 17998709258 6.1046391
## X2009 793800000 32.5 18814604917 4.5330787
## X2010 915461000 31.7 19720794305 4.8164147
## X2011 292395000 31.5 20395606013 3.4218282
## X2012 861574000 31.5 21348105727 4.6701221
## X2013 439097000 29.9 22100659154 3.5251532
## X2014 1069880000 29.9 23429236486 6.0114828
## X2015 314849716 29.9 24360795411 3.9760533
## X2016 159554771 29.9 24466305357 0.4331137
## X2017 125130000 30.0 26662713937 8.9772794
## X2018 102360000 37.0 28695046274 7.6223761
## X2019 237634000 41.8 30605291409 6.6570554
## X2020 112370000 0.0 29880062111 -2.3696206
## X2021 0 0.0 31149050463 4.2469401
## SL.IND.EMPL.ZS SL.IND.EMPL.FE.ZS SL.IND.EMPL.MA.ZS SL.AGR.EMPL.ZS
## X1960 0.00 0.00 0.00 0.00
## X1961 0.00 0.00 0.00 0.00
## X1962 0.00 0.00 0.00 0.00
## X1963 0.00 0.00 0.00 0.00
## X1964 0.00 0.00 0.00 0.00
## X1965 0.00 0.00 0.00 0.00
## X1966 0.00 0.00 0.00 0.00
## X1967 0.00 0.00 0.00 0.00
## X1968 0.00 0.00 0.00 0.00
## X1969 0.00 0.00 0.00 0.00
## X1970 0.00 0.00 0.00 0.00
## X1971 0.00 0.00 0.00 0.00
## X1972 0.00 0.00 0.00 0.00
## X1973 0.00 0.00 0.00 0.00
## X1974 0.00 0.00 0.00 0.00
## X1975 0.00 0.00 0.00 0.00
## X1976 0.00 0.00 0.00 0.00
## X1977 0.00 0.00 0.00 0.00
## X1978 0.00 0.00 0.00 0.00
## X1979 0.00 0.00 0.00 0.00
## X1980 0.00 0.00 0.00 0.00
## X1981 0.00 0.00 0.00 0.00
## X1982 0.00 0.00 0.00 0.00
## X1983 0.00 0.00 0.00 0.00
## X1984 0.00 0.00 0.00 0.00
## X1985 0.00 0.00 0.00 0.00
## X1986 0.00 0.00 0.00 0.00
## X1987 0.00 0.00 0.00 0.00
## X1988 0.00 0.00 0.00 0.00
## X1989 0.00 0.00 0.00 0.00
## X1990 0.00 0.00 0.00 0.00
## X1991 2.76 1.44 3.99 82.33
## X1992 3.21 1.65 4.66 82.10
## X1993 3.74 1.90 5.42 81.75
## X1994 4.45 2.25 6.44 81.15
## X1995 5.20 2.62 7.52 80.52
## X1996 6.12 3.09 8.85 79.68
## X1997 7.20 3.65 10.44 78.66
## X1998 8.38 4.27 12.19 77.52
## X1999 9.84 5.04 14.34 76.11
## X2000 10.52 5.47 15.30 75.25
## X2001 10.98 5.75 15.95 74.59
## X2002 11.21 5.95 16.21 74.19
## X2003 11.54 6.14 16.66 73.61
## X2004 11.80 6.30 17.03 73.08
## X2005 11.97 6.41 17.28 72.64
## X2006 12.12 6.46 17.51 72.21
## X2007 12.25 6.52 17.70 71.78
## X2008 12.57 6.69 18.17 71.13
## X2009 12.74 6.85 18.44 70.61
## X2010 12.99 7.07 18.82 70.04
## X2011 13.16 7.27 19.19 69.54
## X2012 13.41 7.48 19.80 68.86
## X2013 13.65 7.68 20.45 68.24
## X2014 13.98 7.94 21.21 67.48
## X2015 14.14 8.12 21.67 66.93
## X2016 14.05 8.12 21.59 66.66
## X2017 14.48 8.33 22.34 65.81
## X2018 14.81 8.50 22.88 65.08
## X2019 15.11 8.62 23.31 64.38
## X2020 0.00 0.00 0.00 0.00
## X2021 0.00 0.00 0.00 0.00
## SL.AGR.EMPL.FE.ZS SL.AGR.EMPL.MA.ZS col_diff
## X1960 0.00 0.00 0.0000000
## X1961 0.00 0.00 0.0000000
## X1962 0.00 0.00 0.0000000
## X1963 0.00 0.00 0.0000000
## X1964 0.00 0.00 0.0000000
## X1965 0.00 0.00 0.0000000
## X1966 0.00 0.00 0.0000000
## X1967 0.00 0.00 0.0000000
## X1968 0.00 0.00 0.0000000
## X1969 0.00 0.00 0.0000000
## X1970 0.00 0.00 0.0000000
## X1971 0.00 0.00 0.0000000
## X1972 0.00 0.00 0.0000000
## X1973 0.00 0.00 0.0000000
## X1974 0.00 0.00 0.0000000
## X1975 0.00 0.00 0.0000000
## X1976 0.00 0.00 0.0000000
## X1977 0.00 0.00 0.0000000
## X1978 0.00 0.00 0.0000000
## X1979 0.00 0.00 0.0000000
## X1980 0.00 0.00 0.0000000
## X1981 0.00 0.00 0.0000000
## X1982 0.00 0.00 0.0000000
## X1983 0.00 0.00 0.0000000
## X1984 0.00 0.00 0.0000000
## X1985 0.00 0.00 0.0000000
## X1986 0.00 0.00 0.0000000
## X1987 0.00 0.00 0.0000000
## X1988 0.00 0.00 0.0000000
## X1989 0.00 0.00 0.0000000
## X1990 0.00 0.00 0.0000000
## X1991 90.39 74.79 74.7900009
## X1992 90.12 74.68 -0.1100006
## X1993 89.80 74.40 -0.2799988
## X1994 89.25 73.83 -0.5699997
## X1995 88.72 73.14 -0.6900024
## X1996 88.02 72.14 -1.0000000
## X1997 87.20 70.86 -1.2799988
## X1998 86.38 69.33 -1.5299988
## X1999 85.38 67.43 -1.9000015
## X2000 84.63 66.37 -1.0599976
## X2001 84.10 65.56 -0.8100052
## X2002 83.65 65.20 -0.3600006
## X2003 83.19 64.52 -0.6800003
## X2004 82.73 63.90 -0.6199951
## X2005 82.35 63.38 -0.5200005
## X2006 82.03 62.85 -0.5300026
## X2007 81.68 62.36 -0.4899979
## X2008 81.15 61.57 -0.7900009
## X2009 80.54 61.01 -0.5600014
## X2010 79.83 60.40 -0.6099968
## X2011 79.12 59.71 -0.6900024
## X2012 78.44 58.55 -1.1599998
## X2013 77.76 57.40 -1.1499977
## X2014 76.95 56.13 -1.2700005
## X2015 76.29 55.21 -0.9200020
## X2016 75.89 54.93 -0.2799988
## X2017 75.22 53.79 -1.1399994
## X2018 74.62 52.89 -0.9000015
## X2019 74.08 52.11 -0.7799988
## X2020 0.00 0.00 -52.1100006
## X2021 0.00 0.00 0.0000000test1 <- test %>% filter(test$col_diff <0)
test1## YEAR GC.TAX.GSRV.VA.ZS GC.TAX.GSRV.CN GC.TAX.TOTL.GD.ZS IC.TAX.LABR.CP.ZS
## X1992 1992 6.968780 5580000000 6.483344 0.0
## X1993 1993 6.764000 6486000000 6.654637 0.0
## X1994 1994 7.647324 8147000000 7.729134 0.0
## X1995 1995 8.258410 9856000000 8.985514 0.0
## X1996 1996 8.016257 10947000000 8.719914 0.0
## X1997 1997 7.763240 11938000000 8.723660 0.0
## X1998 1998 7.365103 12477000000 8.639333 0.0
## X1999 1999 6.904100 12994000000 8.422505 0.0
## X2000 2000 7.031443 14795000000 8.735981 0.0
## X2001 2001 6.371072 17191000000 8.802575 0.0
## X2002 2002 6.391161 17765000000 8.560583 0.0
## X2003 2003 6.722883 20218600000 8.651812 0.0
## X2004 2004 6.961714 23103700000 8.974958 0.0
## X2005 2005 7.607888 27937000000 9.179453 11.3
## X2006 2006 7.440960 31149795000 8.779758 11.3
## X2007 2007 8.221877 38687300000 9.772473 11.3
## X2008 2008 8.457498 45015200000 10.440086 11.3
## X2009 2009 10.009752 62995100000 11.844037 11.3
## X2010 2010 12.407214 89681363000 13.396115 11.3
## X2011 2011 10.487461 100000000000 11.624676 11.3
## X2012 2012 10.473829 114000000000 12.040805 11.3
## X2013 2013 11.039213 135000000000 13.297886 11.3
## X2014 2014 11.662401 164000000000 13.994910 11.3
## X2015 2015 12.269070 189000000000 14.686305 11.3
## X2016 2016 13.050688 219000000000 16.143750 11.3
## X2017 2017 13.989350 279000000000 17.999362 11.3
## X2018 2018 16.406759 367000000000 19.082826 19.9
## X2019 2019 16.909200 424000000000 19.809060 26.2
## X2020 2020 10.512350 270000000000 15.773650 0.0
## GC.TAX.YPKG.CN GC.TAX.IMPT.ZS GC.TAX.IMPT.CN GC.TAX.EXPT.ZS
## X1992 875000000 32.76437 3244000000 1.16149884
## X1993 1174000000 32.53785 3804000000 1.20605594
## X1994 1931000000 31.34658 4828000000 2.77236722
## X1995 2751000000 33.94943 6686000000 1.68579263
## X1996 3326000000 33.06611 7177000000 0.69108500
## X1997 3954000000 33.16987 8117000000 0.68652691
## X1998 4576000000 31.84179 8276000000 0.83490439
## X1999 5774000000 31.67870 9126000000 1.31213552
## X2000 6969000000 31.19269 10341000000 1.30308880
## X2001 8517000000 30.94043 12025000000 1.26849350
## X2002 8068000000 29.78058 11713000000 2.33149424
## X2003 6879300000 31.38054 13364000000 2.00906852
## X2004 8123300000 31.04312 14954400000 1.09418139
## X2005 8790400000 27.51752 14888300000 1.28990404
## X2006 9162391000 25.41960 14597713000 1.08883287
## X2007 13723900000 22.39483 15928700000 0.98219093
## X2008 16626800000 24.09184 20515500000 0.52327862
## X2009 24051800000 22.01163 25764900000 0.67816419
## X2010 33821327000 20.99344 33544450000 0.57293163
## X2011 43121246000 19.39029 35145784000 0.16131729
## X2012 51303230000 19.32051 40905969000 0.40693453
## X2013 64186691000 20.95862 54327890000 0.16939490
## X2014 75608249000 20.52298 64121990000 0.34242744
## X2015 86168029438 19.81471 70529058946 0.08845511
## X2016 114000000000 18.47786 77802641716 0.03789371
## X2017 145000000000 17.76788 98410300000 0.02259209
## X2018 155000000000 18.44066 122000000000 0.01552102
## X2019 188000000000 17.92326 137000000000 0.03108693
## X2020 213000000000 19.16977 118000000000 0.01831949
## GC.TAX.EXPT.CN IC.TAX.TOTL.CP.ZS NY.GDP.MKTP.KD NY.GDP.MKTP.KD.ZG
## X1992 115000000 0.0 9139620604 4.1064066
## X1993 141000000 0.0 9491482290 3.8498500
## X1994 427000000 0.0 10271302732 8.2160027
## X1995 332000000 0.0 10627557926 3.4684519
## X1996 150000000 0.0 11193824413 5.3282842
## X1997 168000000 0.0 11758957236 5.0486125
## X1998 217000000 0.0 12113653185 3.0163895
## X1999 378000000 0.0 12648177008 4.4125733
## X2000 432000000 0.0 13432363981 6.2000000
## X2001 493000000 0.0 14077102964 4.7998921
## X2002 917000000 0.0 14094015643 0.1201432
## X2003 855600000 0.0 14650029882 3.9450378
## X2004 527100000 0.0 15336032658 4.6826032
## X2005 697900000 32.5 15869600999 3.4791810
## X2006 625284000 32.5 16403551941 3.3646148
## X2007 698600000 32.8 16963169002 3.4115603
## X2008 445600000 34.1 17998709258 6.1046391
## X2009 793800000 32.5 18814604917 4.5330787
## X2010 915461000 31.7 19720794305 4.8164147
## X2011 292395000 31.5 20395606013 3.4218282
## X2012 861574000 31.5 21348105727 4.6701221
## X2013 439097000 29.9 22100659154 3.5251532
## X2014 1069880000 29.9 23429236486 6.0114828
## X2015 314849716 29.9 24360795411 3.9760533
## X2016 159554771 29.9 24466305357 0.4331137
## X2017 125130000 30.0 26662713937 8.9772794
## X2018 102360000 37.0 28695046274 7.6223761
## X2019 237634000 41.8 30605291409 6.6570554
## X2020 112370000 0.0 29880062111 -2.3696206
## SL.IND.EMPL.ZS SL.IND.EMPL.FE.ZS SL.IND.EMPL.MA.ZS SL.AGR.EMPL.ZS
## X1992 3.21 1.65 4.66 82.10
## X1993 3.74 1.90 5.42 81.75
## X1994 4.45 2.25 6.44 81.15
## X1995 5.20 2.62 7.52 80.52
## X1996 6.12 3.09 8.85 79.68
## X1997 7.20 3.65 10.44 78.66
## X1998 8.38 4.27 12.19 77.52
## X1999 9.84 5.04 14.34 76.11
## X2000 10.52 5.47 15.30 75.25
## X2001 10.98 5.75 15.95 74.59
## X2002 11.21 5.95 16.21 74.19
## X2003 11.54 6.14 16.66 73.61
## X2004 11.80 6.30 17.03 73.08
## X2005 11.97 6.41 17.28 72.64
## X2006 12.12 6.46 17.51 72.21
## X2007 12.25 6.52 17.70 71.78
## X2008 12.57 6.69 18.17 71.13
## X2009 12.74 6.85 18.44 70.61
## X2010 12.99 7.07 18.82 70.04
## X2011 13.16 7.27 19.19 69.54
## X2012 13.41 7.48 19.80 68.86
## X2013 13.65 7.68 20.45 68.24
## X2014 13.98 7.94 21.21 67.48
## X2015 14.14 8.12 21.67 66.93
## X2016 14.05 8.12 21.59 66.66
## X2017 14.48 8.33 22.34 65.81
## X2018 14.81 8.50 22.88 65.08
## X2019 15.11 8.62 23.31 64.38
## X2020 0.00 0.00 0.00 0.00
## SL.AGR.EMPL.FE.ZS SL.AGR.EMPL.MA.ZS col_diff
## X1992 90.12 74.68 -0.1100006
## X1993 89.80 74.40 -0.2799988
## X1994 89.25 73.83 -0.5699997
## X1995 88.72 73.14 -0.6900024
## X1996 88.02 72.14 -1.0000000
## X1997 87.20 70.86 -1.2799988
## X1998 86.38 69.33 -1.5299988
## X1999 85.38 67.43 -1.9000015
## X2000 84.63 66.37 -1.0599976
## X2001 84.10 65.56 -0.8100052
## X2002 83.65 65.20 -0.3600006
## X2003 83.19 64.52 -0.6800003
## X2004 82.73 63.90 -0.6199951
## X2005 82.35 63.38 -0.5200005
## X2006 82.03 62.85 -0.5300026
## X2007 81.68 62.36 -0.4899979
## X2008 81.15 61.57 -0.7900009
## X2009 80.54 61.01 -0.5600014
## X2010 79.83 60.40 -0.6099968
## X2011 79.12 59.71 -0.6900024
## X2012 78.44 58.55 -1.1599998
## X2013 77.76 57.40 -1.1499977
## X2014 76.95 56.13 -1.2700005
## X2015 76.29 55.21 -0.9200020
## X2016 75.89 54.93 -0.2799988
## X2017 75.22 53.79 -1.1399994
## X2018 74.62 52.89 -0.9000015
## X2019 74.08 52.11 -0.7799988
## X2020 0.00 0.00 -52.1100006mean(test1$col_diff)## [1] -2.578966Regression:
#help(“scale_x_continuous”)
# Plot for GDP x taxes on goods and services
ggplot(nepal_df, aes(x = GC.TAX.GSRV.CN, y = NY.GDP.MKTP.KD)) +
geom_point() +
geom_smooth() +
# Add a regression line
xlab("Taxes on goods and services (current LCU)") +
ylab("GDP (constant 2015 US$)") +
scale_x_continuous() +
scale_y_continuous() +
ggtitle("Regression: GDP x taxes on goods & services")## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
1. As taxes on goods and services increases, the GDP has been increasing. 2. The correlation between the two indicators (GC.TAX.GSRV.CN and NY.GDP.MKTP.KD) as 0.80, says the same.
# Checking GDP growth on every tax % increase
# with trend line (regression line)
ggplot(nepal_df, aes(x = GC.TAX.GSRV.VA.ZS, y = NY.GDP.MKTP.KD)) +
geom_point() +
geom_smooth() + # Add a regression line
xlab("Taxes on goods and services (% value added of industry and services)") +
ylab("GDP (constant 2015 US$)") +
scale_x_continuous() +
scale_y_continuous() +
ggtitle("Regression: GDP x taxes on goods & services")## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
1. Taxes on goods and services above 10% shows increase in GDP. 2. When taxes on goods and services are within the range 6.5% to 8.5%, the GDP has been fluctuating.
# Check employment in industry on every tax % increase
# with trend line (regression line)
ggplot(nepal_df, aes(x = SL.IND.EMPL.ZS, y = GC.TAX.GSRV.VA.ZS)) +
geom_point() +
geom_smooth() + # Add a regression line
xlab("Employment in industry (% of total employment)") +
ylab("Taxes on goods and services (% value added of industry and services)") +
scale_x_continuous() +
scale_y_continuous() +
ggtitle("Regression: Tax on goods & services X Employment in industry")## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
1. Increase in taxes on goods and services above 7% shows increase in percent of employment in industry. 2. Likewise, the taxes around 7.5% shows percent of employment in industry from 2.5% to 10%.
# Check employment in agriculture on every tax % increase
# with trend line (regression line)
ggplot(nepal_df, aes(x = GC.TAX.GSRV.VA.ZS, y = SL.AGR.EMPL.ZS )) +
geom_point() +
geom_smooth() + # Add a regression line
xlab("Taxes on goods and services (% value added of industry and services)") +
ylab("Employment in agriculture (% of total employment)") +
scale_x_continuous() +
scale_y_continuous() +
ggtitle("Regression: Tax on goods & services X Employment in agriculture")## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
1. Despite the correlation between the indicators (GC.TAX.GSRV.VA.ZS and SL.AGR.EMPL.ZS) is 0.83, the increase in taxes on goods and services shows slow decrease in employment in agriculture.
# Check employment in industry on every customs/import duties % increase
# with trend line (regression line)
df_temp <- filter(nepal_df, GC.TAX.IMPT.ZS > 0, SL.IND.EMPL.ZS > 0)
ggplot(df_temp, aes(x = GC.TAX.IMPT.ZS, y = SL.IND.EMPL.ZS)) +
geom_point() +
geom_smooth() + # Add a regression line
xlab("Customs and other import duties (% of tax revenue)") +
ylab("Employment in industry (% of total employment)") +
scale_x_continuous() +
scale_y_continuous() +
ggtitle("Regression: Customs Import duties X Employment in industry")## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
1. As customs and import duties increases, the employment in industrial sector decreases. 2. It can be concluded that as customs and import duties is above 27%, we can see steep decline in employment in industry.
# Check employment in agriculture on every customs/import duties % increase
# with trend line (regression line)
df_temp <- filter(nepal_df, GC.TAX.IMPT.ZS > 0, SL.AGR.EMPL.ZS > 0)
ggplot(df_temp, aes(x = GC.TAX.IMPT.ZS, y = SL.AGR.EMPL.ZS)) +
geom_point() +
geom_smooth() + # Add a regression line
xlab("Customs and other import duties (% of tax revenue)") +
ylab("Employment in agriculture (% of total employment)") +
scale_x_continuous() +
scale_y_continuous() +
ggtitle("Regression: Customs Import duties X Employment in agriculture")## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
1. As the correlation between the two indicator (GC.TAX.IMPT.ZS and SL.AGR.EMPL.ZS) is 0.91, the increase in customs and import duties has small change on the employment in agriculture.
# Check employment in industry on every export taxes % increase
# with trend line (regression line)
df_temp <- filter(nepal_df, GC.TAX.EXPT.ZS > 0, SL.IND.EMPL.ZS > 0)
ggplot(df_temp, aes(x = GC.TAX.EXPT.ZS , y = SL.IND.EMPL.ZS )) +
geom_point() +
geom_smooth() + # Add a regression line
xlab("Taxes on exports (% of tax revenue)") +
ylab("Employment in industry (% of total employment)") +
scale_x_continuous() +
scale_y_continuous() +
ggtitle("Regression: Exports taxes vs Employment in Industry")## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
1. As taxes on exports increases, the employment in industry remains unchanged(but slightly decreasing).
# Check employment in agriculture on every export taxes % increase
# with trend line (regression line)
df_temp <- filter(nepal_df, GC.TAX.EXPT.ZS > 0, SL.AGR.EMPL.ZS > 0)
ggplot(df_temp, aes(x = GC.TAX.EXPT.ZS, y = SL.AGR.EMPL.ZS)) +
geom_point() +
geom_smooth() + # Add a regression line
xlab("Taxes on exports (% of tax revenue)") +
ylab("Employment in agriculture (% of total employment)") +
scale_x_continuous() +
scale_y_continuous() +
ggtitle("Regression: Exports vs Employment in Agriculture")## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
1. As taxes on exports increases, the employment in agriculture remains unchanged(but slightly increasing).
Bar Plots:
# Bar plot for GDP vs employment in industry
ggplot(nepal_df, aes(x = nepal_df$SL.IND.EMPL.ZS, y = nepal_df$NY.GDP.MKTP.KD, fill = nepal_df$SL.IND.EMPL.ZS)) +
geom_bar(stat = "identity", position = "dodge", width = 0.08) +
#theme_bw() +
xlab("Employment in industry (% of total employment)") +
ylab("GDP (constant 2015 US$)") +
theme(axis.text.x = element_text(size = 10)) +
theme(axis.text.y = element_text(size = 10)) +
ggtitle("Bar plot: GDP vs Employment in industry")## Warning: `position_dodge()` requires non-overlapping x intervals
1. GDP is highest(around $30 billion) when employment in industry(% of total employment) is 15%. 2. GDP is lowest(below $10 billion) when employment in industry(% of total employment) is 2.7%.
# Bar plot for GDP vs taxes on good and services
ggplot(nepal_df, aes(x = nepal_df$GC.TAX.GSRV.VA.ZS, y = nepal_df$NY.GDP.MKTP.KD, fill = nepal_df$GC.TAX.GSRV.VA.ZS)) +
geom_bar(stat = "identity", position = "dodge", width = 0.08) +
#theme_bw() +
xlab("Taxes on goods and services(%)") +
ylab("GDP (constant 2015 US$)") +
theme(axis.text.x = element_text(size = 10)) +
theme(axis.text.y = element_text(size = 10)) +
ggtitle("Bar plot: GDP vs Taxes on goods & services(%)")## Warning: `position_dodge()` requires non-overlapping x intervals
1. GDP is highest(around $30 billion) when employment in taxes on goods and services is 10.6%. 2. GDP is lowest(below $10 billion) when employment in industry(% of total employment) is 7%.
Cluster Analysis:
# Scatterplot for Taxes on goods and services and GDP
library(scatterplot3d)
scatterplot3d(nepal_df$GC.TAX.GSRV.CN, nepal_df$NY.GDP.MKTP.KD, nepal_df$SL.IND.EMPL.ZS,
xlab = "Tax", ylab = "GDP", zlab = "Employment",
type = "h", main = "3D Scatterplot")
#library(rgl)
#plot3d(nepal_df$GC.TAX.GSRV.CN, nepal_df$NY.GDP.MKTP.KD, nepal_df$SL.IND.EMPL.ZS)Bayes Theorem Testing:
nepal_dt <- nepal_df
nepal_dt$GDP_change <- ifelse(nepal_df$NY.GDP.MKTP.KD.ZG > 0, 1, 0)
nepal_dt## YEAR GC.TAX.GSRV.VA.ZS GC.TAX.GSRV.CN GC.TAX.TOTL.GD.ZS IC.TAX.LABR.CP.ZS
## X1960 1960 0.000000 0 0.000000 0.0
## X1961 1961 0.000000 0 0.000000 0.0
## X1962 1962 0.000000 0 0.000000 0.0
## X1963 1963 0.000000 0 0.000000 0.0
## X1964 1964 0.000000 0 0.000000 0.0
## X1965 1965 0.000000 0 0.000000 0.0
## X1966 1966 0.000000 0 0.000000 0.0
## X1967 1967 0.000000 0 0.000000 0.0
## X1968 1968 0.000000 0 0.000000 0.0
## X1969 1969 0.000000 0 0.000000 0.0
## X1970 1970 0.000000 0 0.000000 0.0
## X1971 1971 0.000000 0 0.000000 0.0
## X1972 1972 0.000000 0 0.000000 0.0
## X1973 1973 0.000000 0 0.000000 0.0
## X1974 1974 0.000000 0 0.000000 0.0
## X1975 1975 0.000000 0 0.000000 0.0
## X1976 1976 0.000000 0 0.000000 0.0
## X1977 1977 0.000000 0 0.000000 0.0
## X1978 1978 0.000000 0 0.000000 0.0
## X1979 1979 0.000000 0 0.000000 0.0
## X1980 1980 0.000000 0 0.000000 0.0
## X1981 1981 0.000000 0 0.000000 0.0
## X1982 1982 0.000000 0 0.000000 0.0
## X1983 1983 0.000000 0 0.000000 0.0
## X1984 1984 0.000000 0 0.000000 0.0
## X1985 1985 0.000000 0 0.000000 0.0
## X1986 1986 0.000000 0 0.000000 0.0
## X1987 1987 0.000000 0 0.000000 0.0
## X1988 1988 0.000000 0 0.000000 0.0
## X1989 1989 0.000000 0 0.000000 0.0
## X1990 1990 7.375947 3487200000 6.996693 0.0
## X1991 1991 6.911035 4278000000 6.620302 0.0
## X1992 1992 6.968780 5580000000 6.483344 0.0
## X1993 1993 6.764000 6486000000 6.654637 0.0
## X1994 1994 7.647324 8147000000 7.729134 0.0
## X1995 1995 8.258410 9856000000 8.985514 0.0
## X1996 1996 8.016257 10947000000 8.719914 0.0
## X1997 1997 7.763240 11938000000 8.723660 0.0
## X1998 1998 7.365103 12477000000 8.639333 0.0
## X1999 1999 6.904100 12994000000 8.422505 0.0
## X2000 2000 7.031443 14795000000 8.735981 0.0
## X2001 2001 6.371072 17191000000 8.802575 0.0
## X2002 2002 6.391161 17765000000 8.560583 0.0
## X2003 2003 6.722883 20218600000 8.651812 0.0
## X2004 2004 6.961714 23103700000 8.974958 0.0
## X2005 2005 7.607888 27937000000 9.179453 11.3
## X2006 2006 7.440960 31149795000 8.779758 11.3
## X2007 2007 8.221877 38687300000 9.772473 11.3
## X2008 2008 8.457498 45015200000 10.440086 11.3
## X2009 2009 10.009752 62995100000 11.844037 11.3
## X2010 2010 12.407214 89681363000 13.396115 11.3
## X2011 2011 10.487461 100000000000 11.624676 11.3
## X2012 2012 10.473829 114000000000 12.040805 11.3
## X2013 2013 11.039213 135000000000 13.297886 11.3
## X2014 2014 11.662401 164000000000 13.994910 11.3
## X2015 2015 12.269070 189000000000 14.686305 11.3
## X2016 2016 13.050688 219000000000 16.143750 11.3
## X2017 2017 13.989350 279000000000 17.999362 11.3
## X2018 2018 16.406759 367000000000 19.082826 19.9
## X2019 2019 16.909200 424000000000 19.809060 26.2
## X2020 2020 10.512350 270000000000 15.773650 0.0
## X2021 2021 0.000000 0 0.000000 0.0
## GC.TAX.YPKG.CN GC.TAX.IMPT.ZS GC.TAX.IMPT.CN GC.TAX.EXPT.ZS
## X1960 0 0.00000 0 0.00000000
## X1961 0 0.00000 0 0.00000000
## X1962 0 0.00000 0 0.00000000
## X1963 0 0.00000 0 0.00000000
## X1964 0 0.00000 0 0.00000000
## X1965 0 0.00000 0 0.00000000
## X1966 0 0.00000 0 0.00000000
## X1967 0 0.00000 0 0.00000000
## X1968 0 0.00000 0 0.00000000
## X1969 0 0.00000 0 0.00000000
## X1970 0 0.00000 0 0.00000000
## X1971 0 0.00000 0 0.00000000
## X1972 0 0.00000 0 0.00000000
## X1973 0 0.00000 0 0.00000000
## X1974 0 0.00000 0 0.00000000
## X1975 0 0.00000 0 0.00000000
## X1976 0 0.00000 0 0.00000000
## X1977 0 0.00000 0 0.00000000
## X1978 0 0.00000 0 0.00000000
## X1979 0 0.00000 0 0.00000000
## X1980 0 0.00000 0 0.00000000
## X1981 0 0.00000 0 0.00000000
## X1982 0 0.00000 0 0.00000000
## X1983 0 0.00000 0 0.00000000
## X1984 0 0.00000 0 0.00000000
## X1985 0 0.00000 0 0.00000000
## X1986 0 0.00000 0 0.00000000
## X1987 0 0.00000 0 0.00000000
## X1988 0 0.00000 0 0.00000000
## X1989 0 0.00000 0 0.00000000
## X1990 943000000 36.96671 2674800000 0.44501569
## X1991 768000000 36.18838 2966000000 0.95168375
## X1992 875000000 32.76437 3244000000 1.16149884
## X1993 1174000000 32.53785 3804000000 1.20605594
## X1994 1931000000 31.34658 4828000000 2.77236722
## X1995 2751000000 33.94943 6686000000 1.68579263
## X1996 3326000000 33.06611 7177000000 0.69108500
## X1997 3954000000 33.16987 8117000000 0.68652691
## X1998 4576000000 31.84179 8276000000 0.83490439
## X1999 5774000000 31.67870 9126000000 1.31213552
## X2000 6969000000 31.19269 10341000000 1.30308880
## X2001 8517000000 30.94043 12025000000 1.26849350
## X2002 8068000000 29.78058 11713000000 2.33149424
## X2003 6879300000 31.38054 13364000000 2.00906852
## X2004 8123300000 31.04312 14954400000 1.09418139
## X2005 8790400000 27.51752 14888300000 1.28990404
## X2006 9162391000 25.41960 14597713000 1.08883287
## X2007 13723900000 22.39483 15928700000 0.98219093
## X2008 16626800000 24.09184 20515500000 0.52327862
## X2009 24051800000 22.01163 25764900000 0.67816419
## X2010 33821327000 20.99344 33544450000 0.57293163
## X2011 43121246000 19.39029 35145784000 0.16131729
## X2012 51303230000 19.32051 40905969000 0.40693453
## X2013 64186691000 20.95862 54327890000 0.16939490
## X2014 75608249000 20.52298 64121990000 0.34242744
## X2015 86168029438 19.81471 70529058946 0.08845511
## X2016 114000000000 18.47786 77802641716 0.03789371
## X2017 145000000000 17.76788 98410300000 0.02259209
## X2018 155000000000 18.44066 122000000000 0.01552102
## X2019 188000000000 17.92326 137000000000 0.03108693
## X2020 213000000000 19.16977 118000000000 0.01831949
## X2021 0 0.00000 0 0.00000000
## GC.TAX.EXPT.CN IC.TAX.TOTL.CP.ZS NY.GDP.MKTP.KD NY.GDP.MKTP.KD.ZG
## X1960 0 0.0 3312006963 0.0000000
## X1961 0 0.0 3375208865 1.9082660
## X1962 0 0.0 3439686156 1.9103200
## X1963 0 0.0 3504872049 1.8951116
## X1964 0 0.0 3768874732 7.5324486
## X1965 0 0.0 3723528046 -1.2031890
## X1966 0 0.0 3985688368 7.0406431
## X1967 0 0.0 3923053375 -1.5714975
## X1968 0 0.0 3949552951 0.6754835
## X1969 0 0.0 4125838151 4.4634216
## X1970 0 0.0 4232119417 2.5759921
## X1971 0 0.0 4181529368 -1.1953833
## X1972 0 0.0 4311901106 3.1178004
## X1973 0 0.0 4291353333 -0.4765363
## X1974 0 0.0 4563150075 6.3335904
## X1975 0 0.0 4629611019 1.4564707
## X1976 0 0.0 4833246135 4.3985362
## X1977 0 0.0 4979063887 3.0169734
## X1978 0 0.0 5198428566 4.4057414
## X1979 0 0.0 5321572986 2.3688778
## X1980 0 0.0 5198144730 -2.3193942
## X1981 0 0.0 5631772619 8.3419741
## X1982 0 0.0 5844618406 3.7793747
## X1983 0 0.0 5670600395 -2.9774059
## X1984 0 0.0 6219578592 9.6811300
## X1985 0 0.0 6601765803 6.1449052
## X1986 0 0.0 6903179359 4.5656505
## X1987 0 0.0 7020230929 1.6956183
## X1988 0 0.0 7560564675 7.6968087
## X1989 0 0.0 7887910507 4.3296479
## X1990 32200000 0.0 8253518026 4.6350363
## X1991 78000000 0.0 8779114468 6.3681504
## X1992 115000000 0.0 9139620604 4.1064066
## X1993 141000000 0.0 9491482290 3.8498500
## X1994 427000000 0.0 10271302732 8.2160027
## X1995 332000000 0.0 10627557926 3.4684519
## X1996 150000000 0.0 11193824413 5.3282842
## X1997 168000000 0.0 11758957236 5.0486125
## X1998 217000000 0.0 12113653185 3.0163895
## X1999 378000000 0.0 12648177008 4.4125733
## X2000 432000000 0.0 13432363981 6.2000000
## X2001 493000000 0.0 14077102964 4.7998921
## X2002 917000000 0.0 14094015643 0.1201432
## X2003 855600000 0.0 14650029882 3.9450378
## X2004 527100000 0.0 15336032658 4.6826032
## X2005 697900000 32.5 15869600999 3.4791810
## X2006 625284000 32.5 16403551941 3.3646148
## X2007 698600000 32.8 16963169002 3.4115603
## X2008 445600000 34.1 17998709258 6.1046391
## X2009 793800000 32.5 18814604917 4.5330787
## X2010 915461000 31.7 19720794305 4.8164147
## X2011 292395000 31.5 20395606013 3.4218282
## X2012 861574000 31.5 21348105727 4.6701221
## X2013 439097000 29.9 22100659154 3.5251532
## X2014 1069880000 29.9 23429236486 6.0114828
## X2015 314849716 29.9 24360795411 3.9760533
## X2016 159554771 29.9 24466305357 0.4331137
## X2017 125130000 30.0 26662713937 8.9772794
## X2018 102360000 37.0 28695046274 7.6223761
## X2019 237634000 41.8 30605291409 6.6570554
## X2020 112370000 0.0 29880062111 -2.3696206
## X2021 0 0.0 31149050463 4.2469401
## SL.IND.EMPL.ZS SL.IND.EMPL.FE.ZS SL.IND.EMPL.MA.ZS SL.AGR.EMPL.ZS
## X1960 0.00 0.00 0.00 0.00
## X1961 0.00 0.00 0.00 0.00
## X1962 0.00 0.00 0.00 0.00
## X1963 0.00 0.00 0.00 0.00
## X1964 0.00 0.00 0.00 0.00
## X1965 0.00 0.00 0.00 0.00
## X1966 0.00 0.00 0.00 0.00
## X1967 0.00 0.00 0.00 0.00
## X1968 0.00 0.00 0.00 0.00
## X1969 0.00 0.00 0.00 0.00
## X1970 0.00 0.00 0.00 0.00
## X1971 0.00 0.00 0.00 0.00
## X1972 0.00 0.00 0.00 0.00
## X1973 0.00 0.00 0.00 0.00
## X1974 0.00 0.00 0.00 0.00
## X1975 0.00 0.00 0.00 0.00
## X1976 0.00 0.00 0.00 0.00
## X1977 0.00 0.00 0.00 0.00
## X1978 0.00 0.00 0.00 0.00
## X1979 0.00 0.00 0.00 0.00
## X1980 0.00 0.00 0.00 0.00
## X1981 0.00 0.00 0.00 0.00
## X1982 0.00 0.00 0.00 0.00
## X1983 0.00 0.00 0.00 0.00
## X1984 0.00 0.00 0.00 0.00
## X1985 0.00 0.00 0.00 0.00
## X1986 0.00 0.00 0.00 0.00
## X1987 0.00 0.00 0.00 0.00
## X1988 0.00 0.00 0.00 0.00
## X1989 0.00 0.00 0.00 0.00
## X1990 0.00 0.00 0.00 0.00
## X1991 2.76 1.44 3.99 82.33
## X1992 3.21 1.65 4.66 82.10
## X1993 3.74 1.90 5.42 81.75
## X1994 4.45 2.25 6.44 81.15
## X1995 5.20 2.62 7.52 80.52
## X1996 6.12 3.09 8.85 79.68
## X1997 7.20 3.65 10.44 78.66
## X1998 8.38 4.27 12.19 77.52
## X1999 9.84 5.04 14.34 76.11
## X2000 10.52 5.47 15.30 75.25
## X2001 10.98 5.75 15.95 74.59
## X2002 11.21 5.95 16.21 74.19
## X2003 11.54 6.14 16.66 73.61
## X2004 11.80 6.30 17.03 73.08
## X2005 11.97 6.41 17.28 72.64
## X2006 12.12 6.46 17.51 72.21
## X2007 12.25 6.52 17.70 71.78
## X2008 12.57 6.69 18.17 71.13
## X2009 12.74 6.85 18.44 70.61
## X2010 12.99 7.07 18.82 70.04
## X2011 13.16 7.27 19.19 69.54
## X2012 13.41 7.48 19.80 68.86
## X2013 13.65 7.68 20.45 68.24
## X2014 13.98 7.94 21.21 67.48
## X2015 14.14 8.12 21.67 66.93
## X2016 14.05 8.12 21.59 66.66
## X2017 14.48 8.33 22.34 65.81
## X2018 14.81 8.50 22.88 65.08
## X2019 15.11 8.62 23.31 64.38
## X2020 0.00 0.00 0.00 0.00
## X2021 0.00 0.00 0.00 0.00
## SL.AGR.EMPL.FE.ZS SL.AGR.EMPL.MA.ZS GDP_change
## X1960 0.00 0.00 0
## X1961 0.00 0.00 1
## X1962 0.00 0.00 1
## X1963 0.00 0.00 1
## X1964 0.00 0.00 1
## X1965 0.00 0.00 0
## X1966 0.00 0.00 1
## X1967 0.00 0.00 0
## X1968 0.00 0.00 1
## X1969 0.00 0.00 1
## X1970 0.00 0.00 1
## X1971 0.00 0.00 0
## X1972 0.00 0.00 1
## X1973 0.00 0.00 0
## X1974 0.00 0.00 1
## X1975 0.00 0.00 1
## X1976 0.00 0.00 1
## X1977 0.00 0.00 1
## X1978 0.00 0.00 1
## X1979 0.00 0.00 1
## X1980 0.00 0.00 0
## X1981 0.00 0.00 1
## X1982 0.00 0.00 1
## X1983 0.00 0.00 0
## X1984 0.00 0.00 1
## X1985 0.00 0.00 1
## X1986 0.00 0.00 1
## X1987 0.00 0.00 1
## X1988 0.00 0.00 1
## X1989 0.00 0.00 1
## X1990 0.00 0.00 1
## X1991 90.39 74.79 1
## X1992 90.12 74.68 1
## X1993 89.80 74.40 1
## X1994 89.25 73.83 1
## X1995 88.72 73.14 1
## X1996 88.02 72.14 1
## X1997 87.20 70.86 1
## X1998 86.38 69.33 1
## X1999 85.38 67.43 1
## X2000 84.63 66.37 1
## X2001 84.10 65.56 1
## X2002 83.65 65.20 1
## X2003 83.19 64.52 1
## X2004 82.73 63.90 1
## X2005 82.35 63.38 1
## X2006 82.03 62.85 1
## X2007 81.68 62.36 1
## X2008 81.15 61.57 1
## X2009 80.54 61.01 1
## X2010 79.83 60.40 1
## X2011 79.12 59.71 1
## X2012 78.44 58.55 1
## X2013 77.76 57.40 1
## X2014 76.95 56.13 1
## X2015 76.29 55.21 1
## X2016 75.89 54.93 1
## X2017 75.22 53.79 1
## X2018 74.62 52.89 1
## X2019 74.08 52.11 1
## X2020 0.00 0.00 0
## X2021 0.00 0.00 1P_GDP_increase <- sum(nepal_dt$GDP_change)/nrow(nepal_dt)
P_GDP_increase## [1] 0.8709677x <- 5
P_tax_given_GDP_increase <- sum(nepal_dt[nepal_dt$GDP_change == 1 & nepal_dt$tax == x,]$tax)/sum(nepal_dt$GDP_change == 1)
P_tax_given_GDP_increase## [1] 0sum(nepal_dt$GDP_change)## [1] 54nrow(nepal_dt)## [1] 62Add a new chunk by clicking the Insert Chunk button on the toolbar or by pressing Ctrl+Alt+I.
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